Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Introduction to Research Computing on the Great Lakes Cluster (September 29, 2020 12:00pm) https://events.umich.edu/event/77376 77376-19846062@events.umich.edu Event Begins: Tuesday, September 29, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,” then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12-1PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Tuesday, September 29, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

Friday, October 2, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-3/register/

Wednesday, October 7, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

]]>
Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-09-29T12:00:00-04:00 2020-09-29T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
ECE Open House (September 29, 2020 3:00pm) https://events.umich.edu/event/77196 77196-19820180@events.umich.edu Event Begins: Tuesday, September 29, 2020 3:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

As a new Michigan engineer you have several areas to choose from and sometimes, those options can be confusing and overwhelming. ECE is hosting an open house to share more about electrical and computer engineering and what opportunities are available to our students.

So what exactly do electrical and computer engineers do? We do everything! We are there in all electronic devices (cell phones, computers, cars, appliances, etc). We are in electronic communication, networking, power, energy, sensors, and much more. We make things smart - we make them move. We send and decode information - we connect people and things. And we light up the world - efficiently of course!

Attendees will hear remarks from EECS Prof. Pei-Cheng Ku and a few current students, and see some virtual lab tours and learn more about the incredible research happening in our building.

RSVP on the ECE website to receive Zoom event information. Questions can be directed to Ann Stals (amriggs). We hope to see you there!

]]>
Livestream / Virtual Mon, 14 Sep 2020 10:44:12 -0400 2020-09-29T15:00:00-04:00 2020-09-29T16:00:00-04:00 Off Campus Location Electrical and Computer Engineering Livestream / Virtual graphic banner
Advanced Research Computing on the Great Lakes Cluster (September 30, 2020 12:00pm) https://events.umich.edu/event/77381 77381-19846067@events.umich.edu Event Begins: Wednesday, September 30, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Canceled: Monday, October 5, 2020. Spots are still available for the October 9, 2020, course.

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,”, then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12 -1 PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Wednesday, September 30, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-4/register/

Friday, October 9, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-5/register/

]]>
Workshop / Seminar Wed, 07 Oct 2020 11:15:27 -0400 2020-09-30T12:00:00-04:00 2020-09-30T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Introduction to Research Computing on the Great Lakes Cluster (October 2, 2020 12:00pm) https://events.umich.edu/event/77376 77376-19846063@events.umich.edu Event Begins: Friday, October 2, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,” then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12-1PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Tuesday, September 29, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

Friday, October 2, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-3/register/

Wednesday, October 7, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

]]>
Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-10-02T12:00:00-04:00 2020-10-02T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Advanced Research Computing on the Great Lakes Cluster (October 5, 2020 12:00pm) https://events.umich.edu/event/77381 77381-19846068@events.umich.edu Event Begins: Monday, October 5, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Canceled: Monday, October 5, 2020. Spots are still available for the October 9, 2020, course.

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,”, then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12 -1 PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Wednesday, September 30, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-4/register/

Friday, October 9, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-5/register/

]]>
Workshop / Seminar Wed, 07 Oct 2020 11:15:27 -0400 2020-10-05T12:00:00-04:00 2020-10-05T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Introduction to Research Computing on the Great Lakes Cluster (October 7, 2020 1:00pm) https://events.umich.edu/event/77376 77376-19963472@events.umich.edu Event Begins: Wednesday, October 7, 2020 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,” then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12-1PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Tuesday, September 29, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

Friday, October 2, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-3/register/

Wednesday, October 7, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-2/register/

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Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-10-07T13:00:00-04:00 2020-10-07T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Advanced Research Computing on the Great Lakes Cluster (October 9, 2020 12:00pm) https://events.umich.edu/event/77381 77381-19846069@events.umich.edu Event Begins: Friday, October 9, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Canceled: Monday, October 5, 2020. Spots are still available for the October 9, 2020, course.

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders. Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
LSA Technology Services

MATERIALS
Lecture Notes (https://docs.google.com/presentation/d/1yZCyfBaK9GVCI64oUW-99HtUO5RNwSlqpeUNo8BjgWI/edit#slide=id.p1)
Great Lakes Slurm HPC cluster (https://arc-ts.umich.edu/greatlakes/)
Great Lakes User Guide (https://arc-ts.umich.edu/greatlakes/user-guide/)
Two-page Cheat Sheet (https://arc-ts.umich.edu/wp-content/uploads/sites/4/2020/05/Great-Lakes-Cheat-Sheet.pdf)

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a Great Lakes user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you already have a Great Lakes user login, you don’t need to do anything. Otherwise, go to the application page at http://arc-ts.umich.edu/login-request/ to request a Great Lakes user login.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo (https://documentation.its.umich.edu/2fa/enroll-smartphone-or-tablet-duo).

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You will need VPN software to access the U-M network on which Great Lakes is located. If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions (https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started). Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website (https://its.umich.edu/computing/computers-software/compute). This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer. This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host (https://documentation.its.umich.edu/node/350). You must have administrative authority over your computer to install this software.

Download PuTTY directly from the developer (https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html). Download the putty.exe application listed under “Alternative binary files,”, then execute the application. You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes (https://arc-ts.umich.edu/greatlakes/user-guide/).

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required. Please note this session will be recorded.

Instructor will be available at the Zoom link, to be provided, from 12 -1 PM for computer setup assistance.

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu.

Register
Wednesday, September 30, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-4/register/

Friday, October 9, 2020, 12-4pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-5/register/

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Workshop / Seminar Wed, 07 Oct 2020 11:15:27 -0400 2020-10-09T12:00:00-04:00 2020-10-09T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
The Evolution of Basketball with Data Science (October 12, 2020 4:00pm) https://events.umich.edu/event/78271 78271-20002854@events.umich.edu Event Begins: Monday, October 12, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

For the last couple of decades, most industries have grown to take advantage of the information gained from data collection. As that happened, professional sports teams started to catch on. Baseball took the lead thanks to the amount of data collected over the years, which dates to the 1800s, but a lot of other professional sports followed and put more attention to their data collection. With technological advancements, particularly high-speed cameras, storage capacities and image recognition, more dynamic sports started to collect richer and richer data. The insights derived from this data started shifting the way the game is played and the way players are evaluated. This talk will take you through the evolution of data science in basketball and give examples of how data is shifting the way teams make decisions on and off the court.

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Presentation Wed, 07 Oct 2020 09:55:02 -0400 2020-10-12T16:00:00-04:00 2020-10-12T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/94496488704
Critical Conversations (October 14, 2020 12:30pm) https://events.umich.edu/event/78424 78424-20042429@events.umich.edu Event Begins: Wednesday, October 14, 2020 12:30pm
Location: Off Campus Location
Organized By: Digital Studies Institute

Please join the English Department next Wednesday on Zoom for the second Critical Conversations event of the semester. We have a great lineup of panelists and a very timely issue on the table, and we hope to see many of you there!

Sigrid Anderson | Hui-hui Hu | Silvia Lindtner | M. Remi Yergeau (chair)

Please RSVP by the end of the day on Tuesday to receive the Zoom Link

Sigrid Anderson is the Librarian for English Language and Literature and a lecturer in American Culture. Her research focuses on race and gender in print culture and new media. She is the author of Fictions of Dissent: Reclaiming Authority in Transatlantic Women's Writing of the Late Nineteenth Century (2010), and her current book project focuses on women writers’ use of regional magazines as a space to intervene in racialized land settlement questions in turn of the twentieth-century Los Angeles.

Tung-Hui Hu is the author of three books of poetry, most recently Greenhouses, Lighthouses (2013), and a study of digital culture, A Prehistory of the Cloud (2015). He is a contributor to the upcoming BBC Radio 4 program "Under the Cloud" on October 13. A fellow of the American Academy in Berlin and the NEA, he is an associate professor of English at UM.

Silvia Lindtner (she/her) is Associate Professor at the University of Michigan in the School of Information and Associate Director of the Center for Ethics, Society, and Computing (ESC). Lindtner's research interests include cultures and politics of tech production, labor, industry, and governance. Lindtner draws from more than ten years of multi-sited ethnographic research, with a particular focus on China's shifting place in the political economy of tech innovation. Her book Prototype Nation: China and the Contested Promise of Innovation (Princeton University Press, 2020) demonstrates that the promise of entrepreneurial life influences governance, education, policy, investment, and urban redesign in ways that normalize the persistence of sexism, racism, colonialism, and labor exploitation.

"Critical Conversations" is a monthly lunch series organized by the English Department Associate Chair’s Office. Each Critical Conversations session features panelists who will give flash talks about their current work as related to a broad theme.

Questions? Please contact Torre Puckett (puckettt@umich.edu), Sarah Jane Kerwin (sjkerwin@umich.edu), or Susan Scott Parrish (sparrish@umich.edu)

For more information and RSVP, visit the website: https://umcriticalconversations.wordpress.com/

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Lecture / Discussion Mon, 12 Oct 2020 09:14:16 -0400 2020-10-14T12:30:00-04:00 2020-10-14T14:00:00-04:00 Off Campus Location Digital Studies Institute Lecture / Discussion
Towards an Artificial Intuition: Conversational Markers of (Anti)Social Dynamics (October 19, 2020 4:00pm) https://events.umich.edu/event/78274 78274-20002858@events.umich.edu Event Begins: Monday, October 19, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Can conversational dynamics—the nature of the back and forth between people—predict outcomes of social interactions? This talk will describe efforts on developing an artificial intuition about ongoing conversations, by modeling the subtle pragmatic and rhetorical choices of the participants.
The resulting framework distills emerging conversational patterns that can point to the nature of the social relation between interlocutors, as well as to the future trajectory of this relation. For example, I will discuss how interactional dynamics can be used to foretell whether an online conversation will stay on track or eventually derail into personal attacks, providing community moderators several hours of prior notice before an anti-social event is likely to occur.
The data and code are available through the Cornell Conversational Analysis Toolkit (ConvoKit): http://convokit.cornell.edu
This talk includes joint work with Jonathan P. Chang, Lucas Dixon, Liye Fu, Yiqing Hua, Dan Jurafsky, Lillian Lee, Jure Leskovec, Vlad Niculae, Chris Potts, Arthur Spirling, Dario Taraborelli, Nithum Thain, and Justine Zhang.

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Presentation Wed, 07 Oct 2020 10:03:41 -0400 2020-10-19T16:00:00-04:00 2020-10-19T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/95443347994
Introduction to Machine Learning (October 20, 2020 10:00am) https://events.umich.edu/event/77384 77384-19846071@events.umich.edu Event Begins: Tuesday, October 20, 2020 10:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Machine learning is becoming an increasingly popular tool in several fields, including data science, medicine, engineering, and business. This workshop will cover basic concepts related to machine learning, including definitions of basic terms, sample applications, and methods for deciding whether your project is a good fit for machine learning. No prior knowledge or coding experience is required.

INSTRUCTOR
Meghan Richey
Machine Learning Specialist
Information and Technology Services – Advanced Research Computing – Technology Services

Meghan Richey is a machine learning specialist in the Advanced Research Computing-Technology Services department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies, specializing in natural language processing and convolutional neural networks. Before her position at the university, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts.

MATERIALS
Lecture Notes – (coming soon)
A Zoom link will be provided to the participants the day before the class. Registration is required.

Instructor will be available at the Zoom link, to be provided, from 9-10 AM for computer setup assistance.

Please note, this session will be recorded.

If you have questions about this workshop, please send an email to the instructor at richey@umich.edu

Register
Tuesday, October 20, 2020, 10am-12pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-machine-learning/register/

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Workshop / Seminar Wed, 07 Oct 2020 11:17:18 -0400 2020-10-20T10:00:00-04:00 2020-10-20T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Data Science Coast to Coast Presents: Talitha Washington (October 21, 2020 3:00pm) https://events.umich.edu/event/78280 78280-20002864@events.umich.edu Event Begins: Wednesday, October 21, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The DS C2C seminar series, hosted jointly by six academic data science institutes, provides a unique opportunity to foster a broad-reaching data science community.

Speakers include faculty members and postdoctoral fellows at the six institutes whose research spans the theory and methodology of data science, and their application in arts and humanities, engineering, biomedical, natural, physical and social sciences.

In addition, the series features some of the most important figures in data science, who will provide insight on the transformative use of data science in traditional research disciplines, future breakthroughs in data science research, data science entrepreneurship, and advocacy and national policies for a data-enabled and just society.

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Presentation Wed, 07 Oct 2020 11:23:52 -0400 2020-10-21T15:00:00-04:00 2020-10-21T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/93769972428
Data Analytics with Python on Cavium-ThunderX (October 22, 2020 1:00pm) https://events.umich.edu/event/77383 77383-19846070@events.umich.edu Event Begins: Thursday, October 22, 2020 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
This course will cover 4 areas:

– Overview of the Hadoop Distributed Filesystem (HDFS)
– Pyspark vs Pandas (similarities and differences)
– Working with input/output (HDFS vs NFS) in Pyspark
– Example analytic workflows (exercises)

INSTRUCTOR
Armand Burks
Research Data Scientist Intermediate
Information and Technology Services – Advanced Research Computing – Technology Services

Armand Burks, Ph.D., is a research data scientist intermediate for Advanced Research Computing – Technology Services (ARC-TS), a division of Information and Technology Services (ITS). Armand helps researchers with establishing data workflows, transforming data between different formats, programming support, optimizing/parallelizing code, cloud computing with Hadoop, and developing custom code (C++, Java, Python). He earned a B.S. in computer science from Alabama State University in 2008, an M.S. in computer science and engineering from Michigan State University in 2010, and a Ph.D. in computer science from Michigan State University in 2017.

MATERIALS
Prerequisites: Workshop participants should take the “Introduction to the Linux Command Line” workshop and already have basic programming experience with Python.

Click here for more information on The Cavium ThunderX Cluster (https://arc-ts.umich.edu/cavium/)

Click here to fill out an account request form (http://myumi.ch/6pn5d)
Note: 3 business days are needed for creation of accounts
Students should fill in “Workshop” in the “Advisor” section.

Campus VPN access is required for off-campus access but not from on campus. An SSH client, and Duo will be required during the workshop. If you do not have this software already, please download and install the Cisco AnyConnect VPN software following these instructions: https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started You will need this to be able to use the ssh client. You will need to use the ‘Campus All traffic’ profile in the Cisco client.

A Zoom link will be provided to the participants the day before the class. Registration is required.

Instructor will be available at the Zoom link, to be provided, from 12-1 PM for computer setup assistance.

Please note, this session will be recorded.

If you have questions about this workshop, please send an email to the instructor at arburks@umich.edu

Register
Thursday, October 22, 2020, 1-3pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/data-analytics-with-python-on-cavium-thunderx/register/

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Workshop / Seminar Wed, 07 Oct 2020 11:16:22 -0400 2020-10-22T13:00:00-04:00 2020-10-22T15:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
DANG! Meeting [Virtual] (October 26, 2020 4:00pm) https://events.umich.edu/event/73878 73878-20002865@events.umich.edu Event Begins: Monday, October 26, 2020 4:00pm
Location: Off Campus Location
Organized By: Data Analysis Networking Group

The Data Analysis Networking Group (DANG!) is a forum for post-docs, grad students, and other researchers at the University of Michigan to discuss how to analyze, present, and visualize their data. Monthly meetings cover requested topics or specific problems & solutions that we have encountered. Don’t know how to visualize your results? Come to DANG!, and hopefully as a group we can come up with a method. Did you recently discover an amazing R package or script? Come to DANG!, and share with us how you accomplished that. Our hope is that these meetings & discussions will foster new ideas within our respective fields.

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-10-26T16:00:00-04:00 2020-10-26T17:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
Fair Ranking with Biased Data (October 26, 2020 4:00pm) https://events.umich.edu/event/78276 78276-20002859@events.umich.edu Event Begins: Monday, October 26, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Search engines and recommender systems have become the dominant matchmaker for a wide range of human endeavors — from online retail to finding romantic partners. Consequently, they carry immense power in shaping markets and allocating opportunity to the participants. In this talk, I will discuss how the machine learning algorithms underlying these systems can produce unfair ranking policies for both exogenous and endogenous reasons. Exogenous reasons often manifest themselves as biases in the training data, which then get reflected in the learned ranking policy and lead to rich-get-richer dynamics. But even when trained with unbiased data, reasons endogenous to the algorithms can lead to unfair or undesirable allocation of opportunity. To overcome these challenges, I will present new machine learning algorithms that directly address both endogenous and exogenous unfairness.

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Presentation Wed, 07 Oct 2020 10:09:21 -0400 2020-10-26T16:00:00-04:00 2020-10-26T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/93790126046
The Future of Cybersecurity: Predicting the Unpredictable (October 30, 2020 12:00pm) https://events.umich.edu/event/78825 78825-20131208@events.umich.edu Event Begins: Friday, October 30, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Join us Friday, October 30 at noon for a special SUMIT Reimagined fireside chat event. Host Ravi Pendse, U-M VPIT and CIO, will sit down via livestream with internationally known IT security experts, Gee Rittenhouse (Cisco) and Dug Song (DUO), to discuss “The Future of Cybersecurity: Predicting the Unpredictable.” Their conversation will focus on what individuals, organizations, and society should be thinking about to try and stay ahead of cyber-criminals and other threat actors.

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Livestream / Virtual Fri, 23 Oct 2020 15:05:19 -0400 2020-10-30T12:00:00-04:00 2020-10-30T13:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Livestream / Virtual SUMIT Fireside Chat: The Future of Cybersecurity: Predicting the Unpredictable
CoderSpaces (Mondays) (November 2, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170566@events.umich.edu Event Begins: Monday, November 2, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-11-02T10:30:00-05:00 2020-11-02T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Auditing for Bias in Resume Search Engines (November 2, 2020 4:00pm) https://events.umich.edu/event/78328 78328-20010766@events.umich.edu Event Begins: Monday, November 2, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

There is growing awareness and concern about the role of automation in hiring, and the potential for these tools to reinforce historic inequalities in the labor market. I will present the results of an algorithm audit of the resume search engines offered by several of the largest online hiring platforms, to understand the relationship between a candidate’s gender and their rank in search results. We audited these platform with respect to individual and group fairness, as well as indirect and direct discrimination. I conclude with a brief discussion of the social and policy implications of our study.

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Presentation Thu, 08 Oct 2020 09:17:55 -0400 2020-11-02T16:00:00-05:00 2020-11-02T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/95382333953
CoderSpaces (Tuesdays) (November 3, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170573@events.umich.edu Event Begins: Tuesday, November 3, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-11-03T14:00:00-05:00 2020-11-03T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Webinar: Baby FACES 2018: Access and Use Data from the Early Head Start Family and Child Experiences Survey (November 4, 2020 1:00pm) https://events.umich.edu/event/78455 78455-20046387@events.umich.edu Event Begins: Wednesday, November 4, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This webinar provides researchers and analysts with an overview of Early Head Start Baby FACES, as well as information on the Baby FACES 2018 methods, measures, potential research questions and considerations, data files and documentation, sampling weights, and data access.

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Presentation Tue, 13 Oct 2020 12:23:12 -0400 2020-11-04T13:00:00-05:00 2020-11-04T19:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of webinar on Head Start Baby FACES data on November 4 2020 from ICPSR
CoderSpaces (Thursdays) (November 5, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170593@events.umich.edu Event Begins: Thursday, November 5, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-11-05T09:30:00-05:00 2020-11-05T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (November 9, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170587@events.umich.edu Event Begins: Monday, November 9, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-11-09T10:30:00-05:00 2020-11-09T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism: MIDAS Annual Symposium Keynote (November 10, 2020 9:00am) https://events.umich.edu/event/78540 78540-20060200@events.umich.edu Event Begins: Tuesday, November 10, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? Authors of Data Feminism, Catherine D’Ignazio and Lauren Klein, address how feminist thinking can be operationalized in order to imagine more ethical and equitable data practices in their keynote speech at the MIDAS Annual Symposium on November 10 at 9:00 AM. Please register to attend this virtual event.

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Conference / Symposium Wed, 14 Oct 2020 12:58:16 -0400 2020-11-10T09:00:00-05:00 2020-11-10T10:00:00-05:00 Off Campus Location Michigan Institute for Data Science Conference / Symposium Data Feminism
U-M Data Science Annual Symposium 2020 (November 10, 2020 9:00am) https://events.umich.edu/event/75640 75640-19552851@events.umich.edu Event Begins: Tuesday, November 10, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Fully virtual. November 10th-11th

Keynote Speakers:
CATHERINE D’IGNAZIO
Assistant Professor, Urban Science & Planning
Director, Data + Feminism Lab
Department of Urban Studies & Planning, MIT

LAUREN KLEIN
Associate Professor, English, Quantitative Theory and Methods
Emory University

CALL FOR PRESENTATIONS
The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2020 U-M Data Science Symposium.

As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.

Presentations at the symposium should cover one or more of the following areas of data science:

Theoretical foundations
Methodology and tools
Real-world application in any domain
The ethics and societal impact of data science
Emerging areas of data science
WE INVITE SUBMISSIONS FOR THE FOLLOWING:
1. Proposals for mini-workshops. New this year, the symposium will include 3-5 mini-workshops on the afternoon of Nov. 10 as parallel sessions. Each workshop will be two hours long and for 50-100 attendees. They can be research discussion sessions, tutorials or hack sessions. Proposals should include the theme, format, organizer and potential presenters, as well as how the proposed mini-workshop brings out the strengths across multiple U-M research units and its benefit to U-M data science research and/or to the larger community. If your theme is selected, the symposium program committee will discuss with you further to help finalize the plan, and MIDAS will provide logistics support.

Some examples of possible themes: Mobilizing data science for crisis response; Data preparation for multi-party computing; Introduction of data science to attendees from non-profit organizations; Data science for wearables/mobile health.

If you would like to discuss your mini-workshop idea with the symposium committee before submission, please email Jing Liu, MIDAS Managing Director (ljing@umich.edu),

2. Abstracts for Research Talks (20 minutes including Q&A). The talks should discuss exciting research ideas, provide vision and context for challenging data science questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects.

3. Abstracts for Posters. The Posters can be used as technical reports of projects. Posters with students as first authors will be automatically entered in the poster competition.

DEADLINES:
Mini-workshop proposal submission: 11:59 pm, July 31, 2020; notification: Aug. 14, 2020
Talks and posters abstract submission: 11:59 pm, Sept. 18, 2020; notification: Oct. 9, 2020

SUBMISSION INSTRUCTIONS:
At least one author/presenter should have a U-M affiliation.
Please do not include figures, tables or bibliography in the abstract.
To submit proposals for mini-workshops:
Please include a title, list of organizers/potential presenters and their affiliations.
The main body of the submission should be no more than 300 words.
Please include the theme, format, how it features the strengths from multiple U-M research units, and its impact.
To submit abstracts for research talks and posters:
Please include a title, list of authors/presenters and their affiliations.
The main body of the submission should be no more than 300 words.
For research talks, please include a brief summary of the research idea and its context, potential methods and impact, and how it can benefit from collaboration.
For posters, please include a brief summary of the research, methods, main results and impact.
For questions, please contact midas-research@umich.edu.

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Conference / Symposium Tue, 13 Oct 2020 10:29:30 -0400 2020-11-10T09:00:00-05:00 2020-11-10T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Conference / Symposium U-M Data Science Annual Symposium 2020
The Testing Paradox for COVID-19 (November 10, 2020 10:10am) https://events.umich.edu/event/79203 79203-20231444@events.umich.edu Event Begins: Tuesday, November 10, 2020 10:10am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Reported case-counts for coronavirus are wrinkled with data errors, namely misclassification of the tests and selection bias associated with who got tested. The number of covert or unascertained infections is large across the world. How can one determine optimal testing strategies with such imperfect data? In this talk, we propose an optimization algorithm for allocating diagnostic/surveillance tests when your objective is estimating the true population prevalence or detecting an outbreak. Infectious disease models and survey sampling techniques are used jointly to come up with these strategies

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Presentation Thu, 05 Nov 2020 09:29:08 -0500 2020-11-10T10:10:00-05:00 2020-11-10T10:30:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Professor Bhramar Muherjee
Students’ mobility patterns on campus and the implications for the recovery of campus activities post-pandemic (November 10, 2020 10:30am) https://events.umich.edu/event/79204 79204-20231445@events.umich.edu Event Begins: Tuesday, November 10, 2020 10:30am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

This research project uses location data gathered from WiFi access points on campus to model the mobility patterns of students in order to inform the planning of educational activities that can minimize the transmission risk.
The first aim is to understand the general mobility patterns of students on campus to identify physical spaces associating with a high-risk of transmission. For example, we can extract insights from WiFi data about which locations are the busiest during which time of the day, how much time was typically spent at each location, and how do these mobility patterns change over time. The second aim is to understand how students share the same physical spaces on campus (e.g. attending a lecture, meeting in the same room, sharing the same dorm). Students are presumably in a close proximity when they are connected to the same WiFi access point. We model a student-to-student network from their co-location activities and use its network centrality measures as proxies of transmission risk (i.e. students in the center of a network would have a higher chance of getting exposed to COVID-19 than those in the periphery). We then correlate network centrality measures with academic information (e.g. class schedule, course enrollment, study major, year of study, gender, ethnicity) to determine whether certain features of the academic record are related to transmission risk. For example, we can identify which groups of students are more vulnerable to potential infections by associating with a high network centrality. Insights from this research project will inform the University of Michigan’s strategies for the recovery of educational activities post-pandemic with empirical evidence of students’ mobility pattern on campus as well as factors that associate with a high-risk of transmission.

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Presentation Thu, 05 Nov 2020 09:35:37 -0500 2020-11-10T10:30:00-05:00 2020-11-10T10:50:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Quan Nguyen
Modeling the Perceived Truthfulness of Public Statements on COVID-19: A New Model for Pairwise Comparisons of Objects with Multidimensional Latent Attributes (November 10, 2020 10:50am) https://events.umich.edu/event/79205 79205-20231446@events.umich.edu Event Begins: Tuesday, November 10, 2020 10:50am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

What is more important for how individuals perceive the truthfulness of statements about COVID-19: a) the objective truthfulness of the statements, or b) the partisanship of the individual and the partisanship of the people making the statements? To answer this question, we develop a novel model for pairwise comparisons data that allows for a richer structure of both the latent attributes of the objects being compared and rater-specific perceptual differences than standard models. We use the model to analyze survey data that we collected in the summer of 2020. This survey asked respondents to compare the truthfulness of pairs of statements about COVID-19. These statements were taken from the fact-checked statements on https://www.politifact.com. We thus have an independent measure of the truthfulness of each statement. We find that the actual truthfulness of a statement explains very little of the variability in individuals’ perceptions of truthfulness. Instead, we find that the partisanship of the speaker and the partisanship of the rater account for the majority of the variation in perceived truthfulness, with statements made by co-partisans being viewed as more truthful.

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Presentation Thu, 05 Nov 2020 09:49:47 -0500 2020-11-10T10:50:00-05:00 2020-11-10T11:10:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Qiushi Yu and Kevin Quinn
Computational Neuroscience, Time Complexity, and Spacetime Analytics (November 10, 2020 11:10am) https://events.umich.edu/event/79206 79206-20231447@events.umich.edu Event Begins: Tuesday, November 10, 2020 11:10am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The proliferation of digital information in all human experiences presents difficult challenges and offers unique opportunities of managing, modeling, analyzing, interpreting, and visualizing heterogeneous data. There is a substantial need to develop, validate, productize, and support novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.

Spacekime analytics is a new technique for modeling high-dimensional longitudinal data, such as functional magnetic resonance imaging (fMRI). This approach relies on extending the notions of time, events, particles, and wave functions to complex-time (kime), complex-events (kevents), data and inference-functions, respectively. This talk will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus reveals various statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes from the classical 4D Minkowski spacetime to a 5D spacetime manifold, where a number of interesting mathematical problems arise.

Spacekime analytics transforms time-varying data, such as time-series observations, into higher-dimensional manifolds representing complex-valued and kime-indexed surfaces (kime-surfaces). This process uncovers some of the intricate structure in high-dimensional data that may be intractable in the classical space-time representation of the data. In addition, the spacekime representation facilitates the development of innovative data science analytical methods for model-based and model-free scientific inference, derived computed phenotyping, and statistical forecasting. Direct neuroscience science applications of spacekime analytics will be demonstrated using simulated data and clinical observations (e.g., UK Biobank).

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Presentation Thu, 05 Nov 2020 09:57:23 -0500 2020-11-10T11:10:00-05:00 2020-11-10T11:30:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Professor Ivo Dinov
Challenges in dynamic mode decomposition (November 10, 2020 11:30am) https://events.umich.edu/event/79207 79207-20231448@events.umich.edu Event Begins: Tuesday, November 10, 2020 11:30am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Dynamic Mode Decomposition (DMD) is a powerful tool in extracting spatio-temporal patterns from multi-dimensional time series. DMD takes in time series data and computes eigenvalues and eigenvectors of a finite-dimensional linear model that approximates the infinite-dimensional Koopman operator which encodes the dynamics. DMD is used successfully in many fields: fluid mechanics, robotics, neuroscience, and more. Two of the main challenges remaining in DMD research are noise sensitivity and issues related to Krylov space closure when modeling nonlinear systems. In our work, we encountered great difficulty in reconstructing time series from multilegged robot data. These are oscillatory systems with slow transients, which decay only slightly faster than a period.
Here we present an investigation of possible sources of difficulty by studying a class of systems with linear latent dynamics which are observed via multinomial observables. We explore the influences of dataset metrics, the spectrum of the latent dynamics, the normality of the system matrix, and the geometry of the dynamics. Our numerical models include system and measurement noise. Our results show that even for these very mildly nonlinear conditions, DMD methods often fail to recover the spectrum and can have poor predictive ability. We show that for a system with a well-posed system matrix, having a dataset with more initial conditions and shorter trajectories can significantly improve the prediction. With a slightly ill-conditioned system matrix, a moderate trajectory length improves the spectrum recovery. Our work provides a self-contained framework on analyzing noise and nonlinearity, and gives generalizable insights dataset properties for DMD analysis.
Work was funded by ARO MURI W911NF-17-1-0306 and the Kahn Foundation.

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Presentation Thu, 05 Nov 2020 10:02:20 -0500 2020-11-10T11:30:00-05:00 2020-11-10T11:50:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Ziyou Wu
CoderSpaces (Tuesdays) (November 10, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170574@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-11-10T14:00:00-05:00 2020-11-10T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Agent-Based Modeling and Systemic Racism (November 10, 2020 2:45pm) https://events.umich.edu/event/79217 79217-20231458@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

In this workshop, participants will gain a better understanding of systemic bias and how algorithms may continue to promote inequity. Participants will learn about agent based methods, a tool which can be used to examine algorithmic fairness. There will be opportunities to brainstorm ideas for new research projects within the participants’ fields.

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Workshop / Seminar Thu, 05 Nov 2020 10:39:43 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Data Science and Natural Language Processing to Find Rare Classes of Entities From Text (November 10, 2020 2:45pm) https://events.umich.edu/event/79220 79220-20231459@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Natural language processing (NLP) and Data Science methods, including recently popular deep learning-based approaches, can unlock information from narrative text and have received great attention in the medical domain. Many NLP methods have been developed and showed promising results in various information extraction tasks, especially for rare classes of named entities. These methods have also been successfully applied to facilitate clinical research. In this workshop, we will highlight some methods and technologies to identify rare concepts and entities in text in the medical domain as well as other “open” domains.

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Workshop / Seminar Thu, 05 Nov 2020 10:46:39 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Intro to Python for Community Members and K-12 Teachers and Students (November 10, 2020 2:45pm) https://events.umich.edu/event/79222 79222-20231462@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

This hands-on workshop is tailored to audiences who do not have prior programming experience. The first half of the workshop covers Python programming basics and the second half covers performing data analysis and visualization in Python with real-world data. The audiences are encouraged to follow along with the examples on their own computer. We will use an online browser-based environment (Google Colab), and no software installations on your computer are required. Attendees will need a Google account and will sign in to their browser in order to use this cloud-based tool during the workshop.

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Workshop / Seminar Thu, 05 Nov 2020 10:51:28 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Mini-Workshops at the MIDAS symposium (November 10, 2020 2:45pm) https://events.umich.edu/event/78763 78763-20121154@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

There will be six workshops to choose from:
- Agent-based modeling and systemic racism
- Introduction to Python for community members and K-12 teachers and students
- Natural Language Processing for free text analysis
- Scrubbing and cleaning of sensitive data
- Stitching Together the Fabric of 21st Century Social Science
- Video coding and its research applications

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Workshop / Seminar Thu, 22 Oct 2020 09:33:12 -0400 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar MIDAS Symposium 2020
Scrubbing and Cleaning of Sensitive Data (November 10, 2020 2:45pm) https://events.umich.edu/event/79223 79223-20231463@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Before analysis, data must be retrieved, scrubbed of identifiable information, cleaned (e.g., addressed missing data, reshaped appropriately), and delivered. Using biomedical and transportation datasets as examples of how this generalizable process works, this workshop will walk attendees through a real-world pipeline used to process and deliver datasets. Documentation and code will be made available through GitLab to allow for coding along with the demonstration. As a result of this workshop, attendees will leave with a practical template for implementing their own a data science pipeline.

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Workshop / Seminar Thu, 05 Nov 2020 10:57:27 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Stitching Together the Fabric of 21st Century Social Science (November 10, 2020 2:45pm) https://events.umich.edu/event/79225 79225-20231464@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Today’s pressing questions of social science and public policy demand an unprecedented degree of data scope and integration as we recognize the cross-cutting dynamics of economics, political science, sociology, demography, and psychology. This panel features four UM researchers who are pushing the frontier of data construction and linkage in coordination with partners at the U.S. Census Bureau.

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Workshop / Seminar Thu, 05 Nov 2020 11:01:06 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
The State of the Art in Automated and Semi-Automated Video Coding (November 10, 2020 2:45pm) https://events.umich.edu/event/79226 79226-20231465@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Video is being acquired at an alarming rate across domains, including social research, healthcare, entertainment, sporting and more. The ability to code this video—attribute certain properties, labels, and other annotations—in support of analytical domain-relevant questions is critical; otherwise, human coding is required. Human coding, however, is laborious, expensive, not repeatable, and, worse, often error prone. Video coding, an area within artificial intelligence and computer vision, seeks automated and semi-automated methods to support more effective and robust video coding. This workshop will review the state of the art in video coding from a capabilities, limitations and tooling perspective and present real-world use-cases.

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Workshop / Seminar Thu, 05 Nov 2020 11:04:31 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:16:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Novel Tools to Increase the Reliability and Reproducibility of Population Genetics Research (November 11, 2020 9:00am) https://events.umich.edu/event/79208 79208-20231449@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Advances in population genetic research have the potential to create numerous important advances in the science of population dynamics. The interplay of micro-level biology and macro-level social sciences documents gene–environment–phenotype interactions and allows us to examine how genetics relates to child health and wellbeing. However, traditional genetics research is based on nonrepresentative samples that deviate from the target population, such as convenience and volunteer samples. This lack of representativeness may distort association studies. Recent findings have provoked concern about misinterpretation, irreproducibility and lack of generalizability, exemplifying the need to leverage survey research with genetics for population-based research. This project is motivated by the research team’s collaborative work on the Fragile Family and Child Wellbeing Study and the Adolescent Brain Cognitive Development Study, which present these common problems in population genetics studies, to advance the integration of genetic science into population dynamics research. The project will evaluate sample selection effects, identify population heterogeneity in polygenic score analysis, and develop strategies to adjust for selection bias in the association studies of educational attainment, cognition status and substance use for child health and wellbeing. This interdisciplinary project will strengthen the validity and generalizability of population genetics research, deepen new understandings of human behavior and facilitate advances in population science.

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Presentation Thu, 05 Nov 2020 10:08:06 -0500 2020-11-11T09:00:00-05:00 2020-11-11T09:20:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Yajuan Si
U-M Data Science Annual Symposium 2020 (November 11, 2020 9:00am) https://events.umich.edu/event/75640 75640-19552852@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Fully virtual. November 10th-11th

Keynote Speakers:
CATHERINE D’IGNAZIO
Assistant Professor, Urban Science & Planning
Director, Data + Feminism Lab
Department of Urban Studies & Planning, MIT

LAUREN KLEIN
Associate Professor, English, Quantitative Theory and Methods
Emory University

CALL FOR PRESENTATIONS
The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2020 U-M Data Science Symposium.

As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.

Presentations at the symposium should cover one or more of the following areas of data science:

Theoretical foundations
Methodology and tools
Real-world application in any domain
The ethics and societal impact of data science
Emerging areas of data science
WE INVITE SUBMISSIONS FOR THE FOLLOWING:
1. Proposals for mini-workshops. New this year, the symposium will include 3-5 mini-workshops on the afternoon of Nov. 10 as parallel sessions. Each workshop will be two hours long and for 50-100 attendees. They can be research discussion sessions, tutorials or hack sessions. Proposals should include the theme, format, organizer and potential presenters, as well as how the proposed mini-workshop brings out the strengths across multiple U-M research units and its benefit to U-M data science research and/or to the larger community. If your theme is selected, the symposium program committee will discuss with you further to help finalize the plan, and MIDAS will provide logistics support.

Some examples of possible themes: Mobilizing data science for crisis response; Data preparation for multi-party computing; Introduction of data science to attendees from non-profit organizations; Data science for wearables/mobile health.

If you would like to discuss your mini-workshop idea with the symposium committee before submission, please email Jing Liu, MIDAS Managing Director (ljing@umich.edu),

2. Abstracts for Research Talks (20 minutes including Q&A). The talks should discuss exciting research ideas, provide vision and context for challenging data science questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects.

3. Abstracts for Posters. The Posters can be used as technical reports of projects. Posters with students as first authors will be automatically entered in the poster competition.

DEADLINES:
Mini-workshop proposal submission: 11:59 pm, July 31, 2020; notification: Aug. 14, 2020
Talks and posters abstract submission: 11:59 pm, Sept. 18, 2020; notification: Oct. 9, 2020

SUBMISSION INSTRUCTIONS:
At least one author/presenter should have a U-M affiliation.
Please do not include figures, tables or bibliography in the abstract.
To submit proposals for mini-workshops:
Please include a title, list of organizers/potential presenters and their affiliations.
The main body of the submission should be no more than 300 words.
Please include the theme, format, how it features the strengths from multiple U-M research units, and its impact.
To submit abstracts for research talks and posters:
Please include a title, list of authors/presenters and their affiliations.
The main body of the submission should be no more than 300 words.
For research talks, please include a brief summary of the research idea and its context, potential methods and impact, and how it can benefit from collaboration.
For posters, please include a brief summary of the research, methods, main results and impact.
For questions, please contact midas-research@umich.edu.

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Conference / Symposium Tue, 13 Oct 2020 10:29:30 -0400 2020-11-11T09:00:00-05:00 2020-11-11T13:00:00-05:00 Off Campus Location Michigan Institute for Data Science Conference / Symposium U-M Data Science Annual Symposium 2020
An end-to-end deep learning system for rapid analysis of the breath metabolome with applications in critical care illness and beyond (November 11, 2020 9:20am) https://events.umich.edu/event/79211 79211-20231452@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:20am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The metabolome is the set of low-molecular-weight metabolites and its quantification represents a summary of the physiological state of an organism. Metabolite concentration levels in biospecimens are important for many critical care health illnesses like sepsis and acute respiratory distress syndrome (ARDS). Sepsis is responsible for 35% of patients who die in the hospital and ARDS has a mortality rate of 40%. Missing data is a common challenge in metabolomics datasets. Many metabolomics investigators impute fixed values for missing metabolite concentrations and this imputation approach leads to lower statistical power, biased parameter estimates, and reduced prediction accuracy. Certain applications of metabolomics data, like breath analysis by gas chromatography, used for the prediction or detection of ARDS, can be done without the quantification of individual metabolites. This would circumvent the quantification step of individual metabolites, eliminating the missing data problem. Our team has developed a rapid gas chromatography breath analyzer, which has been challenged by missing data, a time-consuming process of breath signature alignment, and the following quantification of metabolites across patients. Analyzing the breath signal directly could eliminate these challenges. End-to-end deep learning systems are neural networks that operate directly on a raw data source and make a prediction directly for the target application. These systems have been successful in diverse fields from speech recognition to medicine. We envision an end-to-end deep learning that leverages transfer learning, from the collection of many healthy samples, that could rapidly multiply the applications of our breath analyzer. The end-to-end deep learning system will enhance our breath analyzer so it could be used more efficiently in areas of the intensive care unit to the battlefield to identity patients or soldiers with critical illnesses like sepsis and ARDS and monitor longitudinal changes in breath metabolites.

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Performance Thu, 05 Nov 2020 10:18:18 -0500 2020-11-11T09:20:00-05:00 2020-11-11T09:40:00-05:00 Off Campus Location Michigan Institute for Data Science Performance Christopher Gillies
Machine learning-guided equations for the on-demand prediction of natural gas storage capacities of materials for vehicular applications (November 11, 2020 9:40am) https://events.umich.edu/event/79212 79212-20231453@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:40am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Transportation is responsible for nearly one-third of the world’s carbon dioxide (CO2) emission because of burning fossil fuel. While we dream for zero-carbon vehicles, future projections suggest little decline in fossil fuel consumption by the transportation sector until 2050. Therefore, ‘bending the curve’ of CO2 emission prompts the adoption of low-cost and reduced-emission alternative fuels. Natural gas (NG), the most abundant fossil fuel on earth, is such an alternative with nearly 25% lower carbon footprint and lower price compared to its gasoline counterpart. However, the widespread adoption of natural gas as a vehicular fuel is hindered by the scarcity of high-capacity, light-weight, low-cost, and safe storage systems. Recently, materials-based natural gas storage for vehicular applications have become one of the most viable options. Especially, nanoporous materials (NPMs) are in the spotlight of the U.S. Department of Energy (DOE) because of their exceptional energy storage capacities. However, the number of such NPMs is nearly infinite. It is unknown, a priori, which materials would have the expected natural gas storage capacity. Therefore, searching a high-performing material is like ‘finding a needle in a haystack’ that slows down the speed of materials discovery against growing technological demand. Here we present a novel approach of developing machine learning-guided equations for the on-demand prediction of energy storage capacities of NPMs using a few physically meaningful structural properties. These equations provide users the ability to calculate energy storage capacity of an arbitrary NPM rapidly using only paper and pencil. We show the utility of these equations by predicting NG storage of over 500,000 covalent-organic frameworks (COFs), a class of NPMs. We discovered a COF with record-setting NG storage capacity, surpassing the unmet target set by DOE. In principle, the data-driven approach presented here might be relevant to other disciplines including science, engineering, and health care.

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Presentation Thu, 05 Nov 2020 10:22:47 -0500 2020-11-11T09:40:00-05:00 2020-11-11T10:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Alauddin Ahmed
Fusing Computer Vision And Space Weather Modeling (November 11, 2020 10:00am) https://events.umich.edu/event/79214 79214-20231455@events.umich.edu Event Begins: Wednesday, November 11, 2020 10:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Space weather has impacts on Earth ranging from rare, immensely disruptive events (e.g., electrical blackouts caused by solar flares and coronal mass ejections) to more frequent impacts (e.g., satellite GPS interference from fluctuations in the Earth’s ionosphere caused by rapid variations in the solar extreme UV emission). Earth-impacting events are driven by changes in the Sun’s magnetic field; we now have myriad instruments capturing petabytes worth of images of the Sun at a variety of wavelengths, resolutions, and vantage points. These data present opportunities for learning-based computer vision since the massive, well-calibrated image archive is often accompanied by physical models. This talk will describe some of the work that we have been doing to start integrating computer vision and space physics by learning mappings from one image or representation of the Sun to another. I will center the talk on a new system we have developed that emulates parts of the data processing pipeline of the Solar Dynamics Observatory’s Helioseismic and Magnetic Imager (SDO/HMI). This pipeline produces data products that help study and serve as boundary conditions for solar models of the energetic events alluded to above. Our deep-learning-based system emulates a key component hundreds of times faster than the current method, potentially opening doors to new applications in near-real-time space weather modeling. In keeping with the goals of the symposium, however, I will focus on some of the benefits close collaboration has enabled in terms of understanding how to frame the problem, measure success of the model, and even set up the deep network.

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Presentation Thu, 05 Nov 2020 10:27:08 -0500 2020-11-11T10:00:00-05:00 2020-11-11T10:20:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation David Fouhey
Decoding the Environment of Most Energetic Sources in the Universe (November 11, 2020 10:20am) https://events.umich.edu/event/79215 79215-20231456@events.umich.edu Event Begins: Wednesday, November 11, 2020 10:20am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Astrophysics has always been at the forefront of data analysis. It has led to advancements in image processing and numerical simulations. The coming decade is bringing qualitatively new and larger datasets than ever before. The next generation of observational facilities will produce an explosion in the quantity and quality of data for the most distant sources, such as the first galaxies and first quasars. Quasars are the most energetic objects in the universe, reaching luminosity up to 10^14 that of the Sun. Their emission is powered by giant black holes that convert matter into energy according to the famous Einstein’s equation E = mc^2. The largest progress will occur in quasar spectroscopy. Detailed measurements of spectrum of quasar light, as it is being emitted near the central black hole and partially absorbed by clouds of gas on the way to the observer on Earth, allows for a particularly powerful probe of quasar environment. Because spectra of different chemical elements are unique, spectroscopy allows to study not only the overall properties of matter such as density and temperature, but also the detailed chemical composition of the intervening matter. However, the interpretation of these spectra is made very challenging by the many sources contributing to the absorption of light. In order to take a full advantage of this new window into the nature of supermassive black holes we need detailed theoretical understanding of the origin of quasar spectral features. In a MIDAS PODS project we are applying machine learning to model and extract such features. We are training the models using data from the state-of-the-art numerical simulations of the early universe. This approach is fundamentally different from traditional astronomical data analysis. We have only started learning what information can be extracted and still looking for a new framework to interpret these data.

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Performance Thu, 05 Nov 2020 10:31:24 -0500 2020-11-11T10:20:00-05:00 2020-11-11T10:40:00-05:00 Off Campus Location Michigan Institute for Data Science Performance Oleg Gnedin
Fireside Chat with Eric Horvitz (November 11, 2020 11:00am) https://events.umich.edu/event/78764 78764-20121155@events.umich.edu Event Begins: Wednesday, November 11, 2020 11:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Fireside Chat with Eric Horvitz, Microsoft, Chief Scientific Officer, November 11th, 11:00

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Lecture / Discussion Thu, 22 Oct 2020 10:23:02 -0400 2020-11-11T11:00:00-05:00 2020-11-11T12:00:00-05:00 Off Campus Location Michigan Institute for Data Science Lecture / Discussion Eric Horvitz
CoderSpaces (Thursdays) (November 12, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170594@events.umich.edu Event Begins: Thursday, November 12, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-11-12T09:30:00-05:00 2020-11-12T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Webinar: Drawing a Portrait of Arts and Culture in the U.S. with the latest data from NADAC (November 12, 2020 11:00am) https://events.umich.edu/event/78592 78592-20068101@events.umich.edu Event Begins: Thursday, November 12, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Register: http://myumi.ch/erdzq

Please join us for the upcoming tour around the latest data on arts and culture, freely available to researchers and the general public at the National Archive of Data on Arts & Culture. Your guides will introduce you to NADAC’s recently released studies covering a wealth of topics including public participation in the arts in the United States; the impact of arts and cultural production on the United States economy; data on employment and income for those employed in the arts; information on the amount of time that people spend doing various arts activities; unique and amazing dance history data, and more!

The webinar takes place on November 12 at 11 am EST and is hosted by ICPSR, with presenters including NADAC Project Manager Anya Ovchinnikova; Data Project Manager, David Thomas; and featuring special guest Sunil Iyengar, the Director of the Office of Research & Analysis of the National Endowment for the Arts.

Thanks to the support of the National Endowment for the Arts, this webinar is free and open to the public.

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Presentation Thu, 05 Nov 2020 11:47:05 -0500 2020-11-12T11:00:00-05:00 2020-11-12T12:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of webinar arts and culture data November 4 2020 from ICPSR
CoderSpaces (Mondays) (November 16, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170588@events.umich.edu Event Begins: Monday, November 16, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-11-16T10:30:00-05:00 2020-11-16T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Azure Data and Machine Learning Training Series (November 17, 2020 12:00pm) https://events.umich.edu/event/79287 79287-20264788@events.umich.edu Event Begins: Tuesday, November 17, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Microsoft Azure, in collaboration with MIDAS, is offering the U-M research community a unique opportunity to learn to use Azure for data science research.

Videos of three classes are available to view at your own pace. After viewing the videos, please join Microsoft instructors to ask questions, review specific issues, and walk through additional demos and examples.

Please sign up ahead of time if you plan to join these office hours (https://docs.google.com/forms/d/e/1FAIpQLScH6FerytdMijlT6yUK8c4AYkr4cpMuYf5k6E-K-yD_9agutQ/viewform?gxids=7757). Email your questions to Jonathan Gryak, MIDAS Senior Scientist, ryakj@umich.edu.

There are three sessions:
- Azure 101: Getting Started with Azure, Office Hours, November 17, 12:00 PM (https://midas.umich.edu/event/azure-101-getting-started-with-azure/)
- Working with Data in Azure, Office Hours, November 18, 2:00 PM (https://midas.umich.edu/event/working-with-data-in-azure/)
- Machine Learning on Azure, Office Hours, November 19, 10:00 AM (https://midas.umich.edu/event/machine-learning-on-azure/)

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Workshop / Seminar Mon, 09 Nov 2020 14:38:45 -0500 2020-11-17T12:00:00-05:00 2020-11-17T13:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
CoderSpaces (Tuesdays) (November 17, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170575@events.umich.edu Event Begins: Tuesday, November 17, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-11-17T14:00:00-05:00 2020-11-17T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Principles of Text Analysis (November 18, 2020 9:00am) https://events.umich.edu/event/78767 78767-20121163@events.umich.edu Event Begins: Wednesday, November 18, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

The Population Dynamics and Health Program resumes our 2020 workshop series on Nov. 18th, with a workshop entitled Principles of Text Analysis, presented by Patrick van Kessel, senior data scientist at Pew Research Center. This half-day workshop is geared toward data analysts with unstructured text data (e.g. open-ended survey responses or web-curated text), and will provide a tutorial on cleaning, processing, and analyzing data from text-based sources using state-of-the-art text analytics techniques primarily using Python, with some examples also provided in R (experience with either of these languages is recommended but not required).

Topics include:

* Preprocessing and cleaning messy text data
* Feature extraction using TF-IDF vectorization
* Text analytics techniques including topic modelling and unsupervised clustering methods
* Software demonstration featuring the scikitlearn library for Python.


BIO:
Patrick van Kessel is a senior data scientist at Pew Research Center, specializing in computational social science research and methodology. He is the author of studies that have used natural language processing and machine learning to measure negative political discourse and news sharing behavior by members of Congress on social media, and is involved in the ongoing development of best practices for the application of data science methods across the Center. Van Kessel received his master's degree in social science from the University of Chicago, where he focused on open-ended survey research and text analytics. He holds bachelor's degrees in economics and political science from the University of Texas at Austin. Prior to joining Pew Research Center, he worked at NORC at the University of Chicago as a data scientist and technical advisor on a variety of research projects related to health, criminal justice and education.

REGISTRATION:
https://pdhp.isr.umich.edu/workshops/

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Workshop / Seminar Thu, 22 Oct 2020 10:48:55 -0400 2020-11-18T09:00:00-05:00 2020-11-18T13:00:00-05:00 Off Campus Location Institute for Social Research Workshop / Seminar poster
Azure Data and Machine Learning Training Series (November 18, 2020 2:00pm) https://events.umich.edu/event/79288 79288-20264789@events.umich.edu Event Begins: Wednesday, November 18, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Microsoft Azure, in collaboration with MIDAS, is offering the U-M research community a unique opportunity to learn to use Azure for data science research.

Videos of three classes are available to view at your own pace. After viewing the videos, please join Microsoft instructors to ask questions, review specific issues, and walk through additional demos and examples.

Please sign up ahead of time if you plan to join these office hours (https://docs.google.com/forms/d/e/1FAIpQLScH6FerytdMijlT6yUK8c4AYkr4cpMuYf5k6E-K-yD_9agutQ/viewform?gxids=7757). Email your questions to Jonathan Gryak, MIDAS Senior Scientist, ryakj@umich.edu.

There are three sessions:
- Azure 101: Getting Started with Azure, Office Hours, November 17, 12:00 PM (https://midas.umich.edu/event/azure-101-getting-started-with-azure/)
- Working with Data in Azure, Office Hours, November 18, 2:00 PM (https://midas.umich.edu/event/working-with-data-in-azure/)
- Machine Learning on Azure, Office Hours, November 19, 10:00 AM (https://midas.umich.edu/event/machine-learning-on-azure/)

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Workshop / Seminar Mon, 09 Nov 2020 14:41:16 -0500 2020-11-18T14:00:00-05:00 2020-11-18T15:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
From Sky Surveys to Cancer: Spatial Data Everywhere (November 18, 2020 3:00pm) https://events.umich.edu/event/78283 78283-20002866@events.umich.edu Event Begins: Wednesday, November 18, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The talk describes a 25 year journey leading from the Sloan Digital Sky Survey to a wide range of projects in data science. There are many common threads: the need for extreme interactivity, the need for flexible data aggregation and the commonality of spatial data. The size of data sets have grown almost a million fold, but user expectations for almost instant results has not changed. The talk will describe the gradual evolution of the SciServer, and how new interactive metaphors to interact with hundreds of terabytes of turbulence simulations emerged. We will discuss how machine learning and AI tools are transforming science, from simulations to how large experiments are designed and executed. We will also emphasize that much of these new developments still rely on having unique high value data sets at our fingertips, and how the long term survival of these is entering a critical, endangered phase.

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Presentation Fri, 13 Nov 2020 12:16:36 -0500 2020-11-18T15:00:00-05:00 2020-11-18T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/96874360760
CoderSpaces (Thursdays) (November 19, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170595@events.umich.edu Event Begins: Thursday, November 19, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-11-19T09:30:00-05:00 2020-11-19T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Azure Data and Machine Learning Training Series (November 19, 2020 10:00am) https://events.umich.edu/event/79289 79289-20264790@events.umich.edu Event Begins: Thursday, November 19, 2020 10:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Microsoft Azure, in collaboration with MIDAS, is offering the U-M research community a unique opportunity to learn to use Azure for data science research.

Videos of three classes are available to view at your own pace. After viewing the videos, please join Microsoft instructors to ask questions, review specific issues, and walk through additional demos and examples.

Please sign up ahead of time if you plan to join these office hours (https://docs.google.com/forms/d/e/1FAIpQLScH6FerytdMijlT6yUK8c4AYkr4cpMuYf5k6E-K-yD_9agutQ/viewform?gxids=7757). Email your questions to Jonathan Gryak, MIDAS Senior Scientist, ryakj@umich.edu.

There are three sessions:
- Azure 101: Getting Started with Azure, Office Hours, November 17, 12:00 PM (https://midas.umich.edu/event/azure-101-getting-started-with-azure/)
- Working with Data in Azure, Office Hours, November 18, 2:00 PM (https://midas.umich.edu/event/working-with-data-in-azure/)
- Machine Learning on Azure, Office Hours, November 19, 10:00 AM (https://midas.umich.edu/event/machine-learning-on-azure/)

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Workshop / Seminar Mon, 09 Nov 2020 14:42:31 -0500 2020-11-19T10:00:00-05:00 2020-11-19T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Women + Data Science (November 19, 2020 3:30pm) https://events.umich.edu/event/78621 78621-20075975@events.umich.edu Event Begins: Thursday, November 19, 2020 3:30pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Michigan State University & University of Michigan invite you to their joint monthly webinar & meetup series for Fall 2020! Please register for access to the Zoom link.

Keynote speaker - Maria Chikina
Lightning talk speakers - Anna Yannakopoulos, MSU | Kayla Johnson, MSU | Stephanie Hickey, MSU

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Presentation Fri, 16 Oct 2020 15:47:06 -0400 2020-11-19T15:30:00-05:00 2020-11-19T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Women + Data Science
CoderSpaces (Mondays) (November 23, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170589@events.umich.edu Event Begins: Monday, November 23, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-11-23T10:30:00-05:00 2020-11-23T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
TRACKING THE ‘MOOD’ OF U.S. MEDIA COVERAGE, 1990-2020 (November 23, 2020 4:00pm) https://events.umich.edu/event/79451 79451-20327786@events.umich.edu Event Begins: Monday, November 23, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Abstract: Survey research has for many years tracking the ‘mood’ of the country. That measure has been useful for understanding trends in economic and political behavior. But where does ‘mood’ come from? And are there other ways to capture the mood of the country? This presentation explores the potential for a media-based measure of mood, explored both as a driver and reflection of pubic attitudes. Media mood is estimating using automated content analytic techniques on a very large corpus of full-text news content. Time series analysis is used to explore differences across news outlets, and the relationship between media content and public opinion from 1990 to the present.

Bio: Stuart Soroka is the Michael W. Traugott Collegiate Professor of Communication and Media & Political Science, and Research Professor in the Center for Political Studies at the Institute for Social Research, University of Michigan. His research focuses on political communication, the sources and/or structure of public preferences for policy, and the relationships between public policy, public opinion, and mass media.

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Presentation Tue, 17 Nov 2020 16:54:47 -0500 2020-11-23T16:00:00-05:00 2020-11-23T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Stuart Soroka
CoderSpaces (Tuesdays) (November 24, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170576@events.umich.edu Event Begins: Tuesday, November 24, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-11-24T14:00:00-05:00 2020-11-24T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (November 30, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170590@events.umich.edu Event Begins: Monday, November 30, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-11-30T10:30:00-05:00 2020-11-30T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Tuesdays) (December 1, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170577@events.umich.edu Event Begins: Tuesday, December 1, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-12-01T14:00:00-05:00 2020-12-01T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
A Data Orientation to Immigrants Admitted to the United States, Federal Fiscal Years 1972-2000 (December 2, 2020 1:00pm) https://events.umich.edu/event/79404 79404-20296438@events.umich.edu Event Begins: Wednesday, December 2, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This past September, we had the opportunity to learn how these recently-released data arrived to ICPSR. Now it is time for an introduction to the data collection itself! Principal Investigator Sherrie Kossoudji will describe these data (Immigrants Admitted to the United States, Federal Fiscal Years 1972-2000), which include every single person admitted as an immigrant 1972-2000, and give insights into the types of analyses that might be undertaken. Could you be the first to publish using these data?

Dr. Sherrie A. Kossoudji is presently an associate professor in the School of Social Work and an adjunct associate professor in the Department of Economics. Her principal research area is immigration. She has written numerous articles on the legal status of immigrant workers in the United States and the incentives to cross the border illegally. Much of her work attempts to discern the link between legal status in the United States and economic outcomes. She has written on wealth disparities for immigrants--in particular, on homeownership as assets for immigrants. Her latest immigration work focuses on new immigrant children to the United States, particularly adopted orphans from abroad, and on the economic incentives and consequences of citizenship for immigrants to the United States. Recently, she has examined markets for body parts around the world. In particular, markets for sperm and ova are useful to identify social constructions of desirability and the price associated with them. She has also written on numerous labor and wealth issues and gendered outcomes. Much of her work focuses on gendered differences in economic outcomes for those at the margins of society. Dr. Kossoudji speaks publicly around the world about immigration, citizenship, and life sciences and reproduction.

Did you miss the story of the curation of these data? Listen to it here on ICPSR's YouTube Channel: http://myumi.ch/9o4qW

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Presentation Fri, 13 Nov 2020 15:35:01 -0500 2020-12-02T13:00:00-05:00 2020-12-02T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of Immigration data webinar ICPSR December 2020
CoderSpaces (Thursdays) (December 3, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170597@events.umich.edu Event Begins: Thursday, December 3, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-12-03T09:30:00-05:00 2020-12-03T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
The ICPSR Student Data Sandbox Debut (December 3, 2020 2:00pm) https://events.umich.edu/event/79382 79382-20296437@events.umich.edu Event Begins: Thursday, December 3, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Introducing the ICPSR Student Data Sandbox!

The Sandbox (https://www.openicpsr.org/openicpsr/studentdata) is a place for students and classes from ICPSR member institutions to self-publish data they generate and/or use. Students will:
- Learn about data management with the goal of sharing
- Be recognized for the work they've contributed to social and behavioral research with a data citation and persistent identifier
- Learn from each other's data
The data can be collected by the students themselves or subsets of existing datasets, anything that students use for their own research.

This webinar will include best practices and general instructions for building your sandcastle (we had to!). We'll discuss how research methods courses that generally conduct campus surveys can compare their results to those from the previous years or to others from different kinds of schools, and how students looking for data for a research project might be interested to know what others have used. The possibilities are almost endless.

This is part of the ICPSR Maximizing Your Membership Value Series. See previous webinars from this series on the ICPSR YouTube channel, and find out more about ICPSR membership at icpsr.umich.edu.

Register at http://myumi.ch/K43oD

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Presentation Wed, 18 Nov 2020 12:55:03 -0500 2020-12-03T14:00:00-05:00 2020-12-03T15:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Webinar announcement of ICPSR Student Data Sandbox December 2020
CoderSpaces (Mondays) (December 7, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170591@events.umich.edu Event Begins: Monday, December 7, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-12-07T10:30:00-05:00 2020-12-07T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
GENOMIC DATA SHARING: THE PRIVACY RISK AND TECHNICAL MITIGATIONS (December 7, 2020 4:00pm) https://events.umich.edu/event/79452 79452-20327787@events.umich.edu Event Begins: Monday, December 7, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Personalized medicine makes use of rich and multi-modality individual health data for the promise of better diagnosis, improved health, and a high quality and longer life. The human genome is a key piece in the puzzle. The collection and sharing of personal genomics for research alsobring an increasing concern about privacy, and the risk of discrimination and stigmatization. There are important ethical, legal, and social implications, for example, individual genome information is known to be uniquely identifiable, which is also highly associated with relatives. Trust, accountability, and equity are critical pillars to enable responsible data sharing.

In this talk, I will overview the genomic privacy risks to show various kinds of vulnerability, covering linkage attack, membership attack, and other inference attacks. Then, I will introduce some technical mitigation strategies including secure outsourcing, multiparty computing, and privacy-preserving output perturbation. I hope that this talk will contribute to the awareness of our community with respect to the magnitude of the challenge and the necessity to develop effective and practical solutions.

Bio:

Dr. Jiang is a Christopher Sarofim family professor and center director of Secure Artificial intelligence For hEalthcare (SAFE) in the School of Biomedical Informatics (SBMI) at The University of Texas Health Science Center at Houston (UTHealth). Before joining UTHealth in 2018, he was an associate professor with tenure in the Department of Biomedical Informatics (DBMI) at UCSD. He is an associate editor of BMC Medical Informatics and Decision Making and serves as an editorial board member of the Journal of American Medical Informatics Association. His expertise is primarily in health data privacy and predictive models in biomedicine based on his Computer Science Ph.D. training from Carnegie Mellon University. He received NIH R00, R13, R21, R01, U01 grants as PI, obtained career awards like CPRIT Rising Stars and UT Stars, and won several best and distinguished paper awards from American Medical Informatics Association (AMIA) Joint Summits on Translational Science (2012, 2013, 2016). He is one of the organizers of the iDASH Genome Privacy competition (2014 – present), which was reported by Nature News and GenomeWeb.

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Presentation Tue, 17 Nov 2020 17:09:49 -0500 2020-12-07T16:00:00-05:00 2020-12-07T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Xiaoqian Jiang
CoderSpaces (Tuesdays) (December 8, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170578@events.umich.edu Event Begins: Tuesday, December 8, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-12-08T14:00:00-05:00 2020-12-08T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (December 10, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170598@events.umich.edu Event Begins: Thursday, December 10, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-12-10T09:30:00-05:00 2020-12-10T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (December 14, 2020 10:30am) https://events.umich.edu/event/79002 79002-20170592@events.umich.edu Event Begins: Monday, December 14, 2020 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM
Join via Zoom* (https://umich.zoom.us/j/93486820846)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Erin Ware (SRC/ISR), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, data management, HPC, Java, JavaScript, Matlab, mobile app development, Python, R, reproducible workflows (nextflow), SAS, Slurm, statistical modeling

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Meeting Mon, 02 Nov 2020 09:04:50 -0500 2020-12-14T10:30:00-05:00 2020-12-14T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series Presents: Eric Xing – Carnegie Mellon University (December 14, 2020 4:00pm) https://events.umich.edu/event/79453 79453-20327788@events.umich.edu Event Begins: Monday, December 14, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Professor, Computer Science, Carnegie Mellon University

Founder, CEO, and Chief Scientist, Petuum Inc.

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Presentation Tue, 17 Nov 2020 17:17:42 -0500 2020-12-14T16:00:00-05:00 2020-12-14T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Eric Xing
CoderSpaces (Tuesdays) (December 15, 2020 2:00pm) https://events.umich.edu/event/79003 79003-20170579@events.umich.edu Event Begins: Tuesday, December 15, 2020 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Mon, 02 Nov 2020 09:05:31 -0500 2020-12-15T14:00:00-05:00 2020-12-15T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Science Coast to Coast Presents: Dr. Jeanne Holm (December 15, 2020 3:00pm) https://events.umich.edu/event/78800 78800-20125167@events.umich.edu Event Begins: Tuesday, December 15, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The DS C2C seminar series, hosted jointly by six academic data science institutes, provides a unique opportunity to foster a broad-reaching data science community.

This fall, the series features important figures in data science, who will provide insight on the transformative use of data science in traditional research disciplines, future breakthroughs in data science research, data science entrepreneurship, and advocacy and national policies for a data-enabled and just society.

Speakers throughout the winter and spring will include faculty members and postdoctoral fellows at the six universities whose research spans the theory and methodology of data science, and their application in arts and humanities, engineering, biomedical, natural, physical and social sciences.

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Presentation Thu, 22 Oct 2020 23:08:05 -0400 2020-12-15T15:00:00-05:00 2020-12-15T16:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Data Science: Coast 2 Coast
CoderSpaces (Thursdays) (December 17, 2020 9:30am) https://events.umich.edu/event/79004 79004-20170599@events.umich.edu Event Begins: Thursday, December 17, 2020 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces for the remainder of 2020 to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 9:30-11AM
Join via Zoom* (https://umich.zoom.us/j/92842605766)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Armand Burks (ARC-TS/UMSI), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Mon, 02 Nov 2020 09:06:02 -0500 2020-12-17T09:30:00-05:00 2020-12-17T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
ICPSR Virtual Open House (December 17, 2020 1:00pm) https://events.umich.edu/event/79867 79867-20509635@events.umich.edu Event Begins: Thursday, December 17, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for a virtual open house to learn about the data and resources available at ICPSR, the world's oldest and largest social science data archive.

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Presentation Fri, 18 Dec 2020 11:45:04 -0500 2020-12-17T13:00:00-05:00 2020-12-17T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation
THE CHANGING LANDSCAPE OF BIOMEDICAL DATA COLLECTIONS (December 21, 2020 4:00pm) https://events.umich.edu/event/79454 79454-20327789@events.umich.edu Event Begins: Monday, December 21, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Abstract:

The landscape of biomedical data is incredibly complex, rich, and rapidly changing, especially as we navigate the influx of data from the COVID-19 pandemic. More and more data is moving to the cloud, both existing and newly generated, with multiple cloud providers adding to the complexity. The data includes Electronic Health Records (EHRs), genomic data, and imaging/sensed data (e.g., pictures of tumors, lungs, cells, gas chromatographs), and all this data is enabling us to delve much deeper into complex biological concepts, for example, the relationship between phenotypes and genotypes. The NHLBI BioData Catalyst project is one example of a coordinated effort to move vast amounts of data into the cloud, navigating the complexities of data ingestion, diverse and widespread teams, and multiple cloud providers/environments.

On top of the massive shift to being able to apply huge amounts of data to better understand individuals, populations and, ultimately, life itself, we need a way to organize all this information. The activities in the NCATS Biomedical Data Translator project can be viewed as a constantly evolving analysis of the relationships of disparate data sets. In a sense, Translator is like Google for searching biomedical data.

My talk will introduce both projects and their respective impacts on biomedical research.

Bio:

Dr. Stan Ahalt is the Director of the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill. As Director, he leads a team of research scientists, software and network engineers, data science specialists, and visualization experts who work closely with faculty research teams at UNC, Duke, NCSU, and partners across the country. Dr. Ahalt is also a Professor in UNC’s Department of Computer Science and the Associate Director of Informatics and Data Science (IDSci) in the North Carolina Translational and Clinical Sciences Institute (NC TraCS), UNC’s CTSA award; in this role, Dr. Ahalt leverages the expertise and resources of RENCI to foster clinical and translational research across UNC’s campus. Dr. Ahalt earned his Ph.D. in Electrical and Computer Engineering from Clemson University and has over 30 years of experience in data science, signal and image processing, and pattern recognition/ML.

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Presentation Mon, 23 Nov 2020 12:01:11 -0500 2020-12-21T16:00:00-05:00 2020-12-21T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Stan Ahalt
Software Carpentry Workshop for Women in Science & Engineering (January 11, 2021 9:00am) https://events.umich.edu/event/79726 79726-20468220@events.umich.edu Event Begins: Monday, January 11, 2021 9:00am
Location: Off Campus Location
Organized By: The Carpentries

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills in a supportive & inclusive environment. This hands-on workshop will cover basic concepts and tools, including R for plotting, the Unix shell, version control with Git & GitHub, R for data analysis, and writing reports with R Markdown.

This special Software Carpentry workshop is sponsored by the U-M Women in Science and Engineering and is taught entirely by women.

The workshop is aimed at graduate students and other researchers, but anyone can participate. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

To register, visit the workshop website: https://umswc.github.io/2021-01-11-UMich-WISE-online/

*Note that this is a two-day workshop and you will need to attend both days.

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Workshop / Seminar Sat, 05 Dec 2020 10:55:39 -0500 2021-01-11T09:00:00-05:00 2021-01-11T16:30:00-05:00 Off Campus Location The Carpentries Workshop / Seminar
CoderSpaces (Mondays) (January 11, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719671@events.umich.edu Event Begins: Monday, January 11, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-01-11T10:30:00-05:00 2021-01-11T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Software Carpentry Workshop for Women in Science & Engineering (January 12, 2021 9:00am) https://events.umich.edu/event/79726 79726-20468221@events.umich.edu Event Begins: Tuesday, January 12, 2021 9:00am
Location: Off Campus Location
Organized By: The Carpentries

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills in a supportive & inclusive environment. This hands-on workshop will cover basic concepts and tools, including R for plotting, the Unix shell, version control with Git & GitHub, R for data analysis, and writing reports with R Markdown.

This special Software Carpentry workshop is sponsored by the U-M Women in Science and Engineering and is taught entirely by women.

The workshop is aimed at graduate students and other researchers, but anyone can participate. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

To register, visit the workshop website: https://umswc.github.io/2021-01-11-UMich-WISE-online/

*Note that this is a two-day workshop and you will need to attend both days.

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Workshop / Seminar Sat, 05 Dec 2020 10:55:39 -0500 2021-01-12T09:00:00-05:00 2021-01-12T16:30:00-05:00 Off Campus Location The Carpentries Workshop / Seminar
Coder Spaces (Tuesdays) (January 12, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719687@events.umich.edu Event Begins: Tuesday, January 12, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-01-12T14:00:00-05:00 2021-01-12T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Michigan IT 2021 Student Career Fair (January 12, 2021 2:00pm) https://events.umich.edu/event/79929 79929-20515561@events.umich.edu Event Begins: Tuesday, January 12, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Attention U-M students looking for more experience in information technology! The Michigan IT community is hiring for winter and summer positions!

Register today for the virtual 2021 Michigan IT Student Career Fair on Tuesday, January 12, 2021 from 2 to 4 p.m. Speak directly with the U-M schools, colleges, and units hiring for IT related positions! Learn more and register for the event at the Michigan IT Student Career Fair website.

Who is Michigan IT? Michigan IT is not a department. It’s a community of more than 2,600 IT professional staff across the University of Michigan schools, colleges, libraries, research institutes, Michigan Medicine, and administrative units.

For questions, contact MichiganIT-StuCareerFair@umich.edu.

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Careers / Jobs Fri, 11 Dec 2020 10:58:21 -0500 2021-01-12T14:00:00-05:00 2021-01-12T16:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Careers / Jobs Michigan IT 2021 Student Career Fair, January 12, 2021 from 2-4 p.m.
CoderSpaces (Wednesdays) (January 13, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719736@events.umich.edu Event Begins: Wednesday, January 13, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-01-13T14:00:00-05:00 2021-01-13T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS & Owkin Federated Learning in Biomedical Research Workshop (January 14, 2021 10:00am) https://events.umich.edu/event/80139 80139-20566722@events.umich.edu Event Begins: Thursday, January 14, 2021 10:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Objective: Cultivating research collaboration, joint grants and connecting the UM researchers to the right organisations. Supports Owkin expansion of our presence in North America and facilitates collaborations with PIs at UM. A great introduction to what Owkin does to UM.

Introduction Owkin & Scientific Overview of the Sessions — Patrick Sin-Chan, Partnerships Manager – Owkin
Session 1: Methodology and Data Science
Learning From Others Without Sacrificing Privacy: Application of Federated Machine Learning to Mobile Health Data
Presenter: Ambuj Tewari, Associate Professor, Statistics
Privacy Preserving Federated Learning Platform: from Design to Deployment in Real World Use Cases
Presenter: Camille Marini
Accelerating Machine Learning with Multi-Armed Bandit
Barzan Mozafari, Associate Professor, Computer Science and Engineering
Siloed Federated Learning for Multi-Centric Histopathology Datasets
Presenter: Mathieu Andreux
20 mins Panel Discussion (MIDAS Moderator- Kayvan Najarian, Professor, Computational Medicine and Bioinformatics)
Session 2: Biotech/medical
Covid-19 Severity Analysis with CT Scans and Machine Learning
Presenter: Simon Jégou
Linking Single-cell Molecular States with Phenotypes Using Machine Learning
Presenter: Josh Welch, Assistant Professor, Computational Medicine and Bioinformatics
HE2RNA: a Deep Learning Model to Predict RNA-Seq Expression of Tumors from Whole Slide Images
Presenter: Alberto Romagnoni
Using Large-scale Pharmacogenomic Databases to Predict Drug Effectiveness
Presenter: Johann Gagnon-Bartsch, Assistant Professor, Statistics
20 mins Panel discussion (Owkin Moderator: Patrick Sin-Chan)

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Workshop / Seminar Thu, 17 Dec 2020 19:36:31 -0500 2021-01-14T10:00:00-05:00 2021-01-14T14:30:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Okwin
CoderSpaces (Thursdays) (January 14, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719720@events.umich.edu Event Begins: Thursday, January 14, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-01-14T15:00:00-05:00 2021-01-14T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
KNOWLEDGE EXTRACTION TO ACCELERATE SCIENTIFIC DISCOVERY (January 18, 2021 4:00pm) https://events.umich.edu/event/79534 79534-20373071@events.umich.edu Event Begins: Monday, January 18, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

To combat COVID-19, clinicians and scientists all need to digest the vast amount of relevant biomedical knowledge in literature to understand the disease mechanism and the related biological functions. The first challenge is quantity. For example, nearly 2.7K new papers are published at PubMed per day. This knowledge bottleneck causes significant delay in the development of vaccines and drugs for COVID-19. The second challenge is quality due to the rise and rapid, extensive publications of preprint manuscripts without pre-publication peer review. Many research results about coronavirus from different research labs and sources are redundant, complementary or event conflicting with each other.

Let’s consider drug repurposing as a case study. Besides the long process of clinical trial and biomedical experiments, another major cause for the long process is the complexity of the problem involved and the difficulty in drug discovery in general. The current clinical trials for drug re-purposing mainly rely on symptoms by considering drugs that can treat diseases with similar symptoms. However, there are too many drug candidates and too much misinformation published from multiple sources. In addition to a ranked list of drugs, clinicians and scientists also aim to gain new insights into the underlying molecular cellular mechanisms on Covid-19, and which pre-existing conditions may affect the mortality and severity of this disease.

To tackle these two challenges, we have developed a novel and comprehensive knowledge discovery framework, COVID-KG, to accelerate scientific discovery and build a bridge between clinicians and biology scientists. COVID-KG starts by reading existing papers to build multimedia knowledge graphs (KGs), in which nodes are entities/concepts and edges represent relations involving these entities, extracted from both text and images. Given the KGs enriched with path ranking and evidence mining, COVID-KG answers natural language questions effectively. Using drug repurposing as a case study, for 11 typical questions that human experts aim to explore, we integrate our techniques to generate a comprehensive report for each candidate drug. Preliminary assessment by expert clinicians and medical school students show our generated reports are informative and sound. I will also talk about our ongoing work to extend this framework to other domains including molecular synthesis and agriculture.

Bio:

Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as “Young Scientist” and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. The awards she received include “AI’s 10 to Watch” Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018, and ACL2020 Best Demo Paper Award. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She has served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2021. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Bosch, IBM, Disney).

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Performance Mon, 23 Nov 2020 09:48:55 -0500 2021-01-18T16:00:00-05:00 2021-01-18T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Performance Heng Li
Coder Spaces (Tuesdays) (January 19, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719688@events.umich.edu Event Begins: Tuesday, January 19, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-01-19T14:00:00-05:00 2021-01-19T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (January 19, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719762@events.umich.edu Event Begins: Tuesday, January 19, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-01-19T15:00:00-05:00 2021-01-19T16:00:00-05:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
CoderSpaces (Wednesdays) (January 20, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719737@events.umich.edu Event Begins: Wednesday, January 20, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-01-20T14:00:00-05:00 2021-01-20T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
ICPSR Virtual Open House (January 21, 2021 10:00am) https://events.umich.edu/event/79867 79867-20570636@events.umich.edu Event Begins: Thursday, January 21, 2021 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for a virtual open house to learn about the data and resources available at ICPSR, the world's oldest and largest social science data archive.

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Presentation Fri, 18 Dec 2020 11:45:04 -0500 2021-01-21T10:00:00-05:00 2021-01-21T12:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation
CoderSpaces (Thursdays) (January 21, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719721@events.umich.edu Event Begins: Thursday, January 21, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-01-21T15:00:00-05:00 2021-01-21T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS seminar series presents: Arya Farahi, MIDAS fellow (January 21, 2021 4:00pm) https://events.umich.edu/event/81037 81037-20838679@events.umich.edu Event Begins: Thursday, January 21, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Arya Farahi is a Data Science Fellow at the University of Michigan

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Presentation Thu, 21 Jan 2021 09:33:38 -0500 2021-01-21T16:00:00-05:00 2021-01-21T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Arya Farahi
Interdisciplinary Seminar in Social Science Methodology (I3SM) (January 22, 2021 12:00pm) https://events.umich.edu/event/80949 80949-20824875@events.umich.edu Event Begins: Friday, January 22, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

Marty Davidson will be presenting his paper, "TPRS-Forest Estimation."

Abstract
This paper proposes an estimation strategy – TPRS-Forest, which researchers can use to model spatial data with poorly understood empirical properties. TPRS-Forest estimation uses the projected coordinates of a spatial variable and decomposes it into three components: spatial trend, systematic variation along the spatial trend, and random noise. The first stage uses thin-plate regression splines (TPRS) to approximate a non-stationary spatial trend, or a change in the conditional mean across the region of observation. Because TPRS represents an approximation, this stage does not model all spatial dependencies. To compensate, the second stage performs a random forest regression on the TPRS residuals, which accounts for systematic variation along the spatial trend. The final stage takes the filtered residuals from the second step and tests for any remaining spatial correlative structure, using a global and local Moran test. This proposed method merges together two literatures of spatial modelling – geoadditive models (Kammann & Wand, 2003; Wood, 2017) and spatial random forests (Georganos et al., 2019; Hengl et al., 2004, 2018) – and anchors them in a social scientific conceptual framework. In developing this method, my primary goal is to provide a way for social scientists to descriptively model their data and produce a set of continuous predicted values while minimizing the assumptions on how best to model their data's spatial properties.

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:46:04 -0500 2021-01-22T12:00:00-05:00 2021-01-22T13:30:00-05:00 Off Campus Location Department of Political Science Livestream / Virtual Marty Davidson
CoderSpaces (Mondays) (January 25, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719673@events.umich.edu Event Begins: Monday, January 25, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-01-25T10:30:00-05:00 2021-01-25T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
COMPUTER VISION: WHO IS HELPED AND WHO IS HARMED? (January 25, 2021 4:00pm) https://events.umich.edu/event/79537 79537-20373074@events.umich.edu Event Begins: Monday, January 25, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Computer vision has ceased to be a purely academic endeavor. From law enforcement, to border control, to employment, healthcare diagnostics, and assigning trust scores, computer vision systems are being rapidly integrated into all aspects of society. In research, there are works that purport to determine a person’s sexuality from their social network profile images, others that claim to classify “violent individuals” from drone footage. These works were published in high impact journals, and some were presented at workshops in top tier computer vision conferences such as CVPR.

A critical public discourse surrounding the use of computer-vision based technologies has also been mounting. For example, the use of facial recognition technologies by policing agencies has been heavily critiqued and, in response, companies such as Microsoft, Amazon, and IBM have pulled or paused their facial recognition software services. Gender Shades showed that commercial gender classification systems have high disparities in error rates by skin-type and gender, and other works discuss the harms caused by the mere existence of automatic gender recognition systems. Recent papers have also exposed shockingly racist and sexist labels in popular computer vision datasets–resulting in the removal of some. In this talk, I will highlight some of these issues and proposed solutions to mitigate bias, as well as how some of the proposed fixes could exacerbate the problem rather than mitigate it.

Bio:

Timnit Gebru is a senior research scientist at Google co-leading the Ethical Artificial Intelligence research team. Her work focuses on mitigating the potential negative impacts of machine learning based systems. Timnit is also the co-founder of Black in AI, a non profit supporting Black researchers and practitioners in artificial intelligence. Prior to this, she did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project. She received her Ph.D. from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Prior to joining Fei-Fei’s lab, she worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad.

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Presentation Mon, 23 Nov 2020 10:00:32 -0500 2021-01-25T16:00:00-05:00 2021-01-25T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Timnit Gebru
Coder Spaces (Tuesdays) (January 26, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719689@events.umich.edu Event Begins: Tuesday, January 26, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-01-26T14:00:00-05:00 2021-01-26T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Webinar: Policy Solutions to Support Family Caregivers (January 27, 2021 1:00pm) https://events.umich.edu/event/80407 80407-20715677@events.umich.edu Event Begins: Wednesday, January 27, 2021 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This webinar will review the current state of informal or family caregiving in the United States, describe the research on factors that impact caregiver stress, and discuss various policy solutions at the local, state and national level.According to the AARP, over 43 million adults currently provide unpaid care to family members or friends in the United States, with an estimated economic value of approximately $470 billion in 2017. Almost 40% of all caregivers find their caregiving situation to be emotionally stressful. When caregivers feel they had no choice in assuming their caregiving responsibilities, this percentage increases to 53%. Recent trends that shift care from institutional to home-based settings and the isolating impact of the COVID-19 pandemic are creating an even greater sense of urgency to find ways to better support caregivers.

The content of this webinar has been developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR #90RTHF0001). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this webinar do not necessarily represent the policy of NIDILRR, ACL, or HHS and you should not assume endorsement by the Federal Government.

This webinar is open to the public. Register at http://myumi.ch/gj43g.

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Presentation Tue, 05 Jan 2021 19:13:59 -0500 2021-01-27T13:00:00-05:00 2021-01-27T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Promotional image for Policy Solutions to Support Family Caregivers January 2021 ICPSR
CoderSpaces (Wednesdays) (January 27, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719738@events.umich.edu Event Begins: Wednesday, January 27, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-01-27T14:00:00-05:00 2021-01-27T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (January 28, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719722@events.umich.edu Event Begins: Thursday, January 28, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-01-28T15:00:00-05:00 2021-01-28T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Privacy@Michigan: Privacy Day Discussion with Guest Speaker Sarah Igo (January 28, 2021 4:00pm) https://events.umich.edu/event/80919 80919-20832763@events.umich.edu Event Begins: Thursday, January 28, 2021 4:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

What’s in a number? In the case of the U.S. Social Security number, the now-familiar nine digits hold a fascinating story about modern citizenship, governance and data. Starting in 1936, the SSN was affixed to more and more American lives, spurring new uses of punch cards and filing systems as well as novel dilemmas about personal data. This talk gives a brief history of the SSN and what it reveals about the changing state of “our” information.

Speaker: Sarah Igo, acclaimed author and historian
Presentation: “Nine Digits: A Brief History of Data, Privacy and the SSN”
Webinar: Thursday, January 28 • 4 – 5 p.m.
More info: https://safecomputing.umich.edu/events/privacy-at-michigan

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Lecture / Discussion Wed, 20 Jan 2021 13:36:43 -0500 2021-01-28T16:00:00-05:00 2021-01-28T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Lecture / Discussion Privacy@Michigan Webinar - Speaker: Sarah Igo
CoderSpaces (Mondays) (February 1, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719674@events.umich.edu Event Begins: Monday, February 1, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-02-01T10:30:00-05:00 2021-02-01T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
COVID-19 Data Resources and Research: Measures of its Impact in the United States (February 1, 2021 6:00pm) https://events.umich.edu/event/81106 81106-20929548@events.umich.edu Event Begins: Monday, February 1, 2021 6:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

We're hosting a FREE webinar during LOVE Data Week!!

COVID-19 Data Resources and Research: Measures of its Impact in the United States

Feb. 9, 2021,1-2pm EST

Featuring NACDA Director Dr. James McNally and Understanding America Study (UAS) Director Arie Kapteyn.

During this webinar, we plan to highlight secondary data resources from NACDA and ICPSR relevant to COVID-19 research, provide an overview of the Understanding America Study, particularly the COVID-19 survey, and show you how to access the data resources.

Participants will also have the opportunity to provide feedback and ask questions.

Register at https://myumi.ch/K4nvP.

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Presentation Mon, 01 Feb 2021 18:21:23 -0500 2021-02-01T18:00:00-05:00 2021-02-01T19:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of ICPSR NACDA COVID-19 webinar
Coder Spaces (Tuesdays) (February 2, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719690@events.umich.edu Event Begins: Tuesday, February 2, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-02-02T14:00:00-05:00 2021-02-02T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Overview of the 2021 ICPSR Summer Program (February 2, 2021 2:00pm) https://events.umich.edu/event/80984 80984-20826877@events.umich.edu Event Begins: Tuesday, February 2, 2021 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join the ICPSR Summer Program staff as we detail the upcoming 2021 program! This summer will be fully online, and we know that brings a lot of questions about format, course scheduling, and keeping up with content on your own time with recorded lectures. We're prepared to answer all of those questions and more!

The Mission of the Summer Program:
- To offer instruction for the primary development and "upgrading" of quantitative skills by college and university faculty and by nonacademic research scholars
- To extend the scope and depth of analytic skills for graduate participants, college and university faculty, and research scientists from the public sector
- To furnish training for those individuals who expect to become practicing social methodologies
- To provide opportunities for social scientists to study those methodologies that have special bearing on specific substantive issues
- To create an environment that facilitates an exchange of ideas related to the development of methodologies on the frontier of social research

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Presentation Tue, 19 Jan 2021 18:36:58 -0500 2021-02-02T14:00:00-05:00 2021-02-02T15:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of ICPSR Summer Program overview webinar
Data Feminism Faculty Reading Group (February 2, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719763@events.umich.edu Event Begins: Tuesday, February 2, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-02-02T15:00:00-05:00 2021-02-02T16:00:00-05:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
CoderSpaces (Wednesdays) (February 3, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719739@events.umich.edu Event Begins: Wednesday, February 3, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-02-03T14:00:00-05:00 2021-02-03T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (February 4, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719723@events.umich.edu Event Begins: Thursday, February 4, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-02-04T15:00:00-05:00 2021-02-04T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Interdisciplinary Seminar on Social Science Methodology (I3SM) (February 5, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824876@events.umich.edu Event Begins: Friday, February 5, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-02-05T12:00:00-05:00 2021-02-05T13:30:00-05:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
CoderSpaces (Mondays) (February 8, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719675@events.umich.edu Event Begins: Monday, February 8, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-02-08T10:30:00-05:00 2021-02-08T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series and ICPSR Co-present: Misty Heggeness, Research Economist, US Census Bureau (February 8, 2021 4:00pm) https://events.umich.edu/event/81038 81038-20838680@events.umich.edu Event Begins: Monday, February 8, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

I examine the impact of the COVID-19 shock on parents’ labor supply during the initial stages of the pandemic. Using difference-in-difference estimation and monthly panel data from the Current Population Survey (CPS), I compare labor market attachment, non-work activity, hours worked, and earnings and wages of those in areas with early school closures and stay-in-place orders with those in areas with delayed or no pandemic closures. While there was no immediate impact on detachment or unemployment, mothers with jobs in early closure states were 68.8 percent more likely than mothers in late closure states to have a job but not be working as a result of early shutdowns. There was no effect on working fathers or working women without school age children. Mothers who continued working increased their work hours relative to comparable fathers; this effect, however, appears entirely driven by a reduction in fathers’ hours worked. Overall, the pandemic appears to have induced a unique immediate juggling act for working parents of school age children. Mothers took a week of leave from formal work; fathers working fulltime, for example, reduced their hours worked by 0.53 hours over the week. While experiences were different for mothers and fathers, each are vulnerable to scarring and stunted opportunities for career growth and advancement due to the pandemic.

Misty Heggeness is Principal Economist and Senior Advisor for Evaluations and Experiments at the U.S. Census Bureau. Dr. Heggeness has a PhD from the University of Minnesota. She has worked as a research economist in the U.S. federal government since 2010 and also held positions at the National Institutes of Health and the US Department of Labor. She teaches a course on policy analysis and evaluation at the University of Maryland. Her research focuses on survey response quality, poverty & inequality, gender, and the high skilled workforce and has appeared in outlets like The New York Times, Wall Street Journal, The Economist, Nature, and Science. At the Census Bureau, she leads a high-profile initiative to integrate the Census Bureau’s major frames and co-leads a 2020 administrative records census project.

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Presentation Thu, 21 Jan 2021 09:38:52 -0500 2021-02-08T16:00:00-05:00 2021-02-08T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Misty Heggeness
COVID-19 Data Resources and Research: Measures of its Impact in the United States (February 9, 2021 1:00pm) https://events.umich.edu/event/81106 81106-20848522@events.umich.edu Event Begins: Tuesday, February 9, 2021 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

We're hosting a FREE webinar during LOVE Data Week!!

COVID-19 Data Resources and Research: Measures of its Impact in the United States

Feb. 9, 2021,1-2pm EST

Featuring NACDA Director Dr. James McNally and Understanding America Study (UAS) Director Arie Kapteyn.

During this webinar, we plan to highlight secondary data resources from NACDA and ICPSR relevant to COVID-19 research, provide an overview of the Understanding America Study, particularly the COVID-19 survey, and show you how to access the data resources.

Participants will also have the opportunity to provide feedback and ask questions.

Register at https://myumi.ch/K4nvP.

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Presentation Mon, 01 Feb 2021 18:21:23 -0500 2021-02-09T13:00:00-05:00 2021-02-09T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of ICPSR NACDA COVID-19 webinar
Coder Spaces (Tuesdays) (February 9, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719691@events.umich.edu Event Begins: Tuesday, February 9, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-02-09T14:00:00-05:00 2021-02-09T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Digital Methods for Dance History: Finding Arts and Culture Data in Unexpected Places (February 10, 2021 1:00pm) https://events.umich.edu/event/81589 81589-20929547@events.umich.edu Event Begins: Wednesday, February 10, 2021 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Register at https://myumi.ch/2DqRA.

Presented by Dunham’s Data: Katherine Dunham and Digital Methods for Dance Historical Inquiry (Harmony Bench, Kate Elswit, Antonio Jimenez-Mavillard, Tia-Monique Uzor)

How do you begin to understand the extent of a particular individual’s global influence on her field? Especially if that influence travels through performance from body to body and place to place in the middle of the twentieth century? You look for data in any and all documents you can get your hands on! That’s what Dunham’s Data did -- they use performance programs, notes written on the backs of envelopes, provisional travel plans, and more to create structured data with which they can better understand the impact of African-American choreographer, teacher, and activist Katherine Dunham. The team behind Dunham’s Data will walk through key datasets and other outcomes from the project, to discuss how this fits into their ongoing research on the questions and problems that make the analysis and visualization of data meaningful for dance historical inquiry. This session will be of interest to those studying the performing arts, but, more broadly, to anyone interesting in thinking about data in new and creative ways!

This webinar is free and open to the public. The recording and slides will be sent to all registrants following the live webinar.

This webinar is part of Love Data Week 2021. Please feel free to share this webinar widely. More information about Love Data Week is available at https://myumi.ch/ICPSRLDW21.

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Presentation Mon, 01 Feb 2021 18:20:15 -0500 2021-02-10T13:00:00-05:00 2021-02-10T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Diverse dancers in a bright room in webinar announcement for ICPSR
CoderSpaces (Wednesdays) (February 10, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719740@events.umich.edu Event Begins: Wednesday, February 10, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-02-10T14:00:00-05:00 2021-02-10T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Wait, ICPSR has that?? (February 11, 2021 1:00pm) https://events.umich.edu/event/81579 81579-20927567@events.umich.edu Event Begins: Thursday, February 11, 2021 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Register at https://myumi.ch/jxqp3


Dance data? Brain scan images??

What forms of “non-traditional” data are present in the ICPSR catalog?

Most people know ICPSR has national and local survey data, data from government agencies, and the like, but what else is there?

This presentation will focus on data held by ICPSR that don’t come from these typical sources. The topics and variety of sources may surprise you!

Suggestions about using some of the data in courses across your institution will be included.

This webinar is free and open to the public. The recording and slides will be sent to all registrants following the live webinar.

This webinar is part of Love Data Week 2021. Please feel free to share this webinar widely. More information about Love Data Week is available at https://myumi.ch/ICPSRLDW21.

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Presentation Mon, 01 Feb 2021 15:45:34 -0500 2021-02-11T13:00:00-05:00 2021-02-11T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Black man looks at the camera in surprise
CoderSpaces (Thursdays) (February 11, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719724@events.umich.edu Event Begins: Thursday, February 11, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-02-11T15:00:00-05:00 2021-02-11T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Racial Justice in the Age of Data and AI - A Community Forum (February 11, 2021 4:00pm) https://events.umich.edu/event/81549 81549-20925393@events.umich.edu Event Begins: Thursday, February 11, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

This community forum is a follow-up event of Timnit Gebru’s recent seminar, “Computer vision: who is helped and who is harmed?” (watch video). The record-breaking attendance of the seminar and the active participation of the audience reflected the significance of this topic to our data science community. Three faculty members will moderate the forum, where attendees can share their observations and insights, and thoughts on how data scientists can be part of the solution for racial justice in the age of data and AI.

Moderators:
Dr. H. V. Jagadish, Director of the Michigan Institute for Data Science, and Professor of Computer Science and Engineering
Dr. Shobita Parthasarathy, Professor of Public Policy and Women’s Studies, Director of Science, Technology, and Public Policy Program
Dr. Sarita Schoenebeck, Associate Professor, School of Information
Dr. Apryl Williams, Assistant Professor, Communication & Media

For more information and a reading/watch list for a deeping understanding, please visit the calendar listing on the MIDAS website. (link to the right)

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Lecture / Discussion Mon, 01 Feb 2021 20:33:03 -0500 2021-02-11T16:00:00-05:00 2021-02-11T17:30:00-05:00 Off Campus Location Michigan Institute for Data Science Lecture / Discussion is AI racist?
CoderSpaces (Mondays) (February 15, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719676@events.umich.edu Event Begins: Monday, February 15, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-02-15T10:30:00-05:00 2021-02-15T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Coder Spaces (Tuesdays) (February 16, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719692@events.umich.edu Event Begins: Tuesday, February 16, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-02-16T14:00:00-05:00 2021-02-16T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (February 16, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719764@events.umich.edu Event Begins: Tuesday, February 16, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-02-16T15:00:00-05:00 2021-02-16T16:00:00-05:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
CoderSpaces (Wednesdays) (February 17, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719741@events.umich.edu Event Begins: Wednesday, February 17, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-02-17T14:00:00-05:00 2021-02-17T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (February 18, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719725@events.umich.edu Event Begins: Thursday, February 18, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-02-18T15:00:00-05:00 2021-02-18T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Interdisciplinary Seminar on Social Science Methodology (I3SM) (February 19, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824877@events.umich.edu Event Begins: Friday, February 19, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-02-19T12:00:00-05:00 2021-02-19T13:30:00-05:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
CoderSpaces (Mondays) (February 22, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719677@events.umich.edu Event Begins: Monday, February 22, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-02-22T10:30:00-05:00 2021-02-22T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series, MiCHAMP, and Precision Health Co-Present: Casey Greene, School of Medicine, University of Pennsylvania (February 22, 2021 4:00pm) https://events.umich.edu/event/81040 81040-20838682@events.umich.edu Event Begins: Monday, February 22, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Abstract:

Biomedical research disciplines are awash in data. These data, generated by new technologies as well as old approaches, provide the opportunity to systematically extract biological patterns that were previously difficult to observe. I’ll share vignettes focusing on three areas: 1) how we can use large-scale public data to better understand data for which few observations are available; 2) some work to understand why large-scale integrative analyses are beneficial; and 3) how machine learning can help to produce more datasets suitable for integration while maintaining participant privacy.

Dr. Casey Greene is an Associate Professor of Systems Pharmacology and Translational Therapeutics in the Perelman School of Medicine at the University of Pennsylvania and the Director of the Childhood Cancer Data Lab, powered by Alex’s Lemonade Stand Foundation. His lab develops machine learning methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. This approach reveals underlying principles of genetics, cellular environments, and cellular responses to that environment. Casey’s devotion to the analysis of publicly available data doesn’t stop in the lab. In 2016, Casey established the “Research Parasite Awards” after an editorial in the New England Journal of Medicine deemed scientists who analyze other scientists’ data “research parasites.” These honors, accompanied by a cash prize, are awarded to scientists who rigorously reanalyze other people’s data to learn something new.

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Presentation Thu, 28 Jan 2021 09:51:43 -0500 2021-02-22T16:00:00-05:00 2021-02-22T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Casey Greene
Coder Spaces (Tuesdays) (February 23, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719693@events.umich.edu Event Begins: Tuesday, February 23, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-02-23T14:00:00-05:00 2021-02-23T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Toxic Equilibrium: Structural Racism and Population Health Inequities (February 24, 2021 10:00am) https://events.umich.edu/event/81748 81748-20949404@events.umich.edu Event Begins: Wednesday, February 24, 2021 10:00am
Location: Off Campus Location
Organized By: Institute for Social Research

February 24, 2021
10:00am – 6:30pm
Eastern Time

The American social structure is composed of a resilient, symbiotic network of the formal and informal institutions that operate to maintain an equilibrium toward White privilege. Across time and place, changes in one institution can reverberate through other institutions, and importantly, when we attempt to intervene toward equity in one institution, other institutions can move to restore this toxic equilibrium. Cultural racism, which encompasses the socially accepted ideologies, values, and behavioral norms determined by the dominant power group, sets this equilibrium. Particularly insidious as it operates on the level of our shared social subconscious, the processes that comprise cultural racism are invisible to many because they are our “givens”, our assumptions, our defaults – but the result shapes our answers to the question: Whose life counts?

For our 6th annual University of Michigan RacismLab Symposium on the Study of Racism, we pay tribute to the legacy of Dr. James Jackson, whose mentorship guided our 1st annual symposium in 2015 and resulted in our guest edited Social Science and Medicine special issue on cultural and structural racism. In the introduction to this special issue, we called for all scholarship on race and health to be grounded in interdisciplinary frameworks of cultural and structural racism and critical race theory.

Our annual symposium continues to be sponsored by the University of Michigan Survey Research Center at the Institute for Social Research. For our virtual meeting in 2021, we partner with the Interdisciplinary Association for Population Health Science (IAPHS) to move our discussions to a national stage. As we move to a national, interdisciplinary discussion, we are honored that a pioneer in the study of structural racism, Dr. Eduardo Bonilla Silva will serve as the keynote speaker this year.

Please register for this event: https://iaphs.org/tools-for-success/online-events/racismlab/racismlab-registration/

Event link will be provided upon registration.

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Conference / Symposium Wed, 17 Feb 2021 15:24:54 -0500 2021-02-24T10:00:00-05:00 2021-02-24T18:30:00-05:00 Off Campus Location Institute for Social Research Conference / Symposium poster
CoderSpaces (Wednesdays) (February 24, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719742@events.umich.edu Event Begins: Wednesday, February 24, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-02-24T14:00:00-05:00 2021-02-24T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data for Public Good Symposium (February 25, 2021 9:45am) https://events.umich.edu/event/81262 81262-20879894@events.umich.edu Event Begins: Thursday, February 25, 2021 9:45am
Location: Off Campus Location
Organized By: Ginsberg Center

As both consumers and purveyors of information, how we interact with data is ever evolving. Now, more than ever, data for good represents a diverse and interdisciplinary effort to engage, educate, and empower the world around us. Statistics in the Community (STATCOM), the Center for Education Design, Evaluation, and Research (CEDER), and the Community Technical Assistance Collaborative (CTAC) invite you to attend the 4th annual Data for Public Good Symposium hosted by the Michigan Institute for Data Science. The symposium will launch virtually on Thursday, February 25, 2021 and will showcase the many research efforts and university/community partnerships that focus on improving humanity by using data for the public good.

Data for Good in Changing Times

This year’s symposium will focus on how data can help us best predict, catalyze, or respond to large-scale societal and environmental change. As we currently navigate these changes in several key areas, this symposium offers an opportunity to learn about the data-driven work that is being done to address the following challenges and develop skills to implement your own data-driven work in these spaces:

Public health and medicine
Social justice and equity
Politics and civic engagement
K-12 and higher education
Climate change and sustainability

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Conference / Symposium Tue, 26 Jan 2021 13:07:14 -0500 2021-02-25T09:45:00-05:00 2021-02-25T16:00:00-05:00 Off Campus Location Ginsberg Center Conference / Symposium 4th Annual Data for Public Good Symposium
CoderSpaces (Thursdays) (February 25, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719726@events.umich.edu Event Begins: Thursday, February 25, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-02-25T15:00:00-05:00 2021-02-25T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data for Public Good Symposium (February 26, 2021 9:45am) https://events.umich.edu/event/81262 81262-20879895@events.umich.edu Event Begins: Friday, February 26, 2021 9:45am
Location: Off Campus Location
Organized By: Ginsberg Center

As both consumers and purveyors of information, how we interact with data is ever evolving. Now, more than ever, data for good represents a diverse and interdisciplinary effort to engage, educate, and empower the world around us. Statistics in the Community (STATCOM), the Center for Education Design, Evaluation, and Research (CEDER), and the Community Technical Assistance Collaborative (CTAC) invite you to attend the 4th annual Data for Public Good Symposium hosted by the Michigan Institute for Data Science. The symposium will launch virtually on Thursday, February 25, 2021 and will showcase the many research efforts and university/community partnerships that focus on improving humanity by using data for the public good.

Data for Good in Changing Times

This year’s symposium will focus on how data can help us best predict, catalyze, or respond to large-scale societal and environmental change. As we currently navigate these changes in several key areas, this symposium offers an opportunity to learn about the data-driven work that is being done to address the following challenges and develop skills to implement your own data-driven work in these spaces:

Public health and medicine
Social justice and equity
Politics and civic engagement
K-12 and higher education
Climate change and sustainability

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Conference / Symposium Tue, 26 Jan 2021 13:07:14 -0500 2021-02-26T09:45:00-05:00 2021-02-26T16:00:00-05:00 Off Campus Location Ginsberg Center Conference / Symposium 4th Annual Data for Public Good Symposium
CoderSpaces (Mondays) (March 1, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719678@events.umich.edu Event Begins: Monday, March 1, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-03-01T10:30:00-05:00 2021-03-01T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series Presents: Simine Vazire, Psychology, University of Melbourne (March 1, 2021 4:00pm) https://events.umich.edu/event/81079 81079-20846537@events.umich.edu Event Begins: Monday, March 1, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

How can we tell which scientific findings are credible? Peer-reviewed journals, even prestigious ones, do not provide much assurance regarding the credibility of any individual report. Ideally, we would read each report carefully when deciding what to trust, but this is often impossible (e.g., when we lack the expertise to evaluate the methods) or impractical (e.g., when we need to evaluate research at scale). Moreover, rather than each of us making private judgments, we would all benefit from collecting and sharing evaluations from a range of experts with different areas of expertise and different blind spots and biases. The ideal would be to validate a rubric for eliciting structured quantitative ratings of quality along a wide range of dimensions, and collect and make publicly available ratings from many different and diverse experts. These scores could be combined into a variety of metrics, or “Quality Factors” (QFs), that vary in the weight placed on different qualities. These QFs would provide easily digestible and flexible quality ratings of individual scientific papers that could be useful to other scientists, to journalists and policymakers, and to the public. QFs would also help incentivize authors to “get it right” rather than just get published in prestigious journals, because rewards and recognition could be tied to these more transparent, accountable, and valid metrics rather than to journal prestige. In this talk, I discuss what this could look like for my home discipline of psychology, and describe some progress towards producing Quality Factors for psychology papers.


Simine Vazire is an associate professor in the department of psychology at the University of Melbourne. She is the director of the Personality and Self-Knowledge laboratory. She is the co-founder and current president of the Society for the Improvement of Psychological Science, a senior editor at Collabra: Psychology, and editor in chief of Social Psychological and Personality Science. Her research is funded by the National Science Foundation, and examines accuracy and bias in people’s perceptions of their own behavior and personality. She also conducts meta-science examining how people interpret scientific findings, and tracking trends in the methods and results of published studies in psychology over time. She teaches and blogs about research methods and reproducibility.

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Presentation Fri, 22 Jan 2021 10:17:46 -0500 2021-03-01T16:00:00-05:00 2021-03-01T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Simine Vazire
Coder Spaces (Tuesdays) (March 2, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719694@events.umich.edu Event Begins: Tuesday, March 2, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-03-02T14:00:00-05:00 2021-03-02T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (March 2, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719765@events.umich.edu Event Begins: Tuesday, March 2, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-03-02T15:00:00-05:00 2021-03-02T16:00:00-05:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
ISR Insights Speaker Series – Chatter: The Voice in Our Head, Why It Matters, and How to Harness It (March 3, 2021 11:00am) https://events.umich.edu/event/81973 81973-20998841@events.umich.edu Event Begins: Wednesday, March 3, 2021 11:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Insights Speaker Series is a series focusing on the research happening at ISR.

Ethan Kross (Faculty Associate, Research Center for Group Dynamics; Professor, Management & Organizations Area, Ross School of Business; Professor, Department of Psychology, LSA)

Wednesday, March 3, 11am EST: https://umich.zoom.us/j/95763691351

Tell a stranger that you talk to yourself, and you’re likely to get written off as eccentric. But the truth is that we all have a voice in our head. In this ISR Insights talk, University of Michigan professor Ethan Kross joins Dave Mayer (Ross School of Business) to discuss Kross’ new book, Chatter. Interweaving behavioral and brain research from Kross’ lab with colorful real-world case studies, Kross explains how these conversations shape our lives, work, and relationships.

This talk is co-sponsored by Literati Bookstore, where you can purchase Kross’ new book: https://www.literatibookstore.com/book/9780525575238

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Lecture / Discussion Wed, 10 Feb 2021 16:23:00 -0500 2021-03-03T11:00:00-05:00 2021-03-03T12:00:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
CoderSpaces (Wednesdays) (March 3, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719743@events.umich.edu Event Begins: Wednesday, March 3, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-03-03T14:00:00-05:00 2021-03-03T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (March 4, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719727@events.umich.edu Event Begins: Thursday, March 4, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-03-04T15:00:00-05:00 2021-03-04T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Interdisciplinary Seminar on Social Science Methodology (I3SM) (March 5, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824878@events.umich.edu Event Begins: Friday, March 5, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-03-05T12:00:00-05:00 2021-03-05T13:30:00-05:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
An Introduction to CJARS: A new data platform for integrated criminal justice research (March 5, 2021 2:00pm) https://events.umich.edu/event/81913 81913-20990884@events.umich.edu Event Begins: Friday, March 5, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Webinar and Live Q&A

CJARS is a next generation data platform built on over 2+ billion lines of raw data, looking to transform criminal justice research and statistical reporting as we know it. The system, which grows each and everyday, currently contains over 133 million criminal justice events from arrest to parole, occurring in 18 states, covering over 33 million individuals. All of this data can be integrated at the individual level with extensive, longitudinal socio-economic data in partnership with the U.S. Census Bureau.

Topics to include:
- Contents and coverage of CJARS data infrastructure
- Comparison to existing BJS statistical series
- Opportunities for data linkage in the Federal Statistical Research
Data Center network
- Application process to work with CJARS data
- Resources available to support early-stage researchers

Interested researchers should register: https://forms.gle/xgmobvXtbLKKRFSPA
(Event link will be provided after registering)

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Livestream / Virtual Tue, 09 Feb 2021 12:30:48 -0500 2021-03-05T14:00:00-05:00 2021-03-05T15:00:00-05:00 Off Campus Location Institute for Social Research Livestream / Virtual CJARS - Criminal Justice Administrative Records System
CoderSpaces (Mondays) (March 8, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719679@events.umich.edu Event Begins: Monday, March 8, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-03-08T10:30:00-05:00 2021-03-08T12:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series and Michigan AI Initiative Co-Present: Heng Ji, University of Illinois Urbana Champaign (March 8, 2021 4:00pm) https://events.umich.edu/event/81082 81082-20846538@events.umich.edu Event Begins: Monday, March 8, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

To combat COVID-19, clinicians and scientists all need to digest the vast amount of relevant biomedical knowledge in literature to understand the disease mechanism and the related biological functions. The first challenge is quantity. For example, nearly 2.7K new papers are published at PubMed per day. This knowledge bottleneck causes significant delay in the development of vaccines and drugs for COVID-19. The second challenge is quality due to the rise and rapid, extensive publications of preprint manuscripts without pre-publication peer review. Many research results about coronavirus from different research labs and sources are redundant, complementary or event conflicting with each other.

Let’s consider drug repurposing as a case study. Besides the long process of clinical trial and biomedical experiments, another major cause for the long process is the complexity of the problem involved and the difficulty in drug discovery in general. The current clinical trials for drug re-purposing mainly rely on symptoms by considering drugs that can treat diseases with similar symptoms. However, there are too many drug candidates and too much misinformation published from multiple sources. In addition to a ranked list of drugs, clinicians and scientists also aim to gain new insights into the underlying molecular cellular mechanisms on Covid-19, and which pre-existing conditions may affect the mortality and severity of this disease.

To tackle these two challenges, we have developed a novel and comprehensive knowledge discovery framework, COVID-KG, to accelerate scientific discovery and build a bridge between clinicians and biology scientists. COVID-KG starts by reading existing papers to build multimedia knowledge graphs (KGs), in which nodes are entities/concepts and edges represent relations involving these entities, extracted from both text and images. Given the KGs enriched with path ranking and evidence mining, COVID-KG answers natural language questions effectively. Using drug repurposing as a case study, for 11 typical questions that human experts aim to explore, we integrate our techniques to generate a comprehensive report for each candidate drug. Preliminary assessment by expert clinicians and medical school students show our generated reports are informative and sound. I will also talk about our ongoing work to extend this framework to other domains including molecular synthesis and agriculture.

Bio:

Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as “Young Scientist” and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. The awards she received include “AI’s 10 to Watch” Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018, and ACL2020 Best Demo Paper Award. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She has served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2021. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Bosch, IBM, Disney).

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Presentation Mon, 25 Jan 2021 17:32:08 -0500 2021-03-08T16:00:00-05:00 2021-03-08T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Heng Li
An Introduction to CJARS: A new data platform for integrated criminal justice research (March 9, 2021 10:30am) https://events.umich.edu/event/81913 81913-20990885@events.umich.edu Event Begins: Tuesday, March 9, 2021 10:30am
Location: Off Campus Location
Organized By: Institute for Social Research

Webinar and Live Q&A

CJARS is a next generation data platform built on over 2+ billion lines of raw data, looking to transform criminal justice research and statistical reporting as we know it. The system, which grows each and everyday, currently contains over 133 million criminal justice events from arrest to parole, occurring in 18 states, covering over 33 million individuals. All of this data can be integrated at the individual level with extensive, longitudinal socio-economic data in partnership with the U.S. Census Bureau.

Topics to include:
- Contents and coverage of CJARS data infrastructure
- Comparison to existing BJS statistical series
- Opportunities for data linkage in the Federal Statistical Research
Data Center network
- Application process to work with CJARS data
- Resources available to support early-stage researchers

Interested researchers should register: https://forms.gle/xgmobvXtbLKKRFSPA
(Event link will be provided after registering)

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Livestream / Virtual Tue, 09 Feb 2021 12:30:48 -0500 2021-03-09T10:30:00-05:00 2021-03-09T11:30:00-05:00 Off Campus Location Institute for Social Research Livestream / Virtual CJARS - Criminal Justice Administrative Records System
Coder Spaces (Tuesdays) (March 9, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719695@events.umich.edu Event Begins: Tuesday, March 9, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-03-09T14:00:00-05:00 2021-03-09T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Wednesdays) (March 10, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719744@events.umich.edu Event Begins: Wednesday, March 10, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-03-10T14:00:00-05:00 2021-03-10T15:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (March 11, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719728@events.umich.edu Event Begins: Thursday, March 11, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-03-11T15:00:00-05:00 2021-03-11T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (March 15, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719680@events.umich.edu Event Begins: Monday, March 15, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-03-15T10:30:00-04:00 2021-03-15T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series Presents: Patricia Murrieta-Flores, Lancaster University (March 15, 2021 4:00pm) https://events.umich.edu/event/82623 82623-21147749@events.umich.edu Event Begins: Monday, March 15, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The field of Digital Humanities, and particularly the increasing accessibility of digital resources, has opened a significant number of opportunities for the study of sources that can be highly relevant to history and archaeology. These opportunities include the use of methodologies from the fields of Artificial Intelligence and Computational Linguistics and the application of a diversity of techniques and methods for the large-scale analysis and exploration of collections of historical documents.

In the case of the early colonial history of Mexico, there is an enormous variety of historical documents related to the economic, social and political life at that time. An example of this is the sixteenth-century Relaciones Geográficas de Nueva España (the Geographic Reports of New Spain). Created from the responses to a questionnaire ordered by Philip II’s and obtained between 1577 and 1585, the Geographic Reports sought to compile all the information available on the American territories under Spanish rule. Due to its essential content, these reports have been the object of study by a large number of researchers, and are frequently used in the analysis of the political, social, territorial and economic situation at the time. Although numerous studies seek to understand the shifting territorial situation in New Spain, two enormous challenges have remained. The first one is the considerable size or volume of information to be analysed and compared. The second has been the precise identification of the places mentioned in these reports, especially on a large scale.

In this presentation, I will introduce the project sponsored by the Transatlantic Platform for the Humanities and Social Sciences (T-AP) called “Digging into Early Colonial Mexico: a large-scale computational analysis of historical documents”, and some of its results. Taking as a basis the historical corpus of the Geographic Reports of New Spain, the project main objectives have been: 1) to adapt and develop techniques from Artificial Intelligence, including aspects of Natural Language Processing, Text Mining and Geographic Information Systems for the extraction and analysis of historical information from this source, and 2) to design computational methodologies for the identification of possible large-scale historical patterns. This research is allowing us to clarify some of the essential geographic questions related to the period and the colonial situation in this territory. I will also present a methodology termed Geographical Text Analysis and some of the most critical outputs from this project. These include software developed to carry out this type of analysis, the first sixteenth-century digital gazetteer of Mexico and Guatemala, and the first experiments using Natural Language Processing to automatically annotate the Relaciones corpus.

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Presentation Mon, 01 Mar 2021 13:19:07 -0500 2021-03-15T16:00:00-04:00 2021-03-15T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Patricia Murrieta-Flores
Sociogenomics & Polygenic Scores (March 16, 2021 1:00pm) https://events.umich.edu/event/82258 82258-21060576@events.umich.edu Event Begins: Tuesday, March 16, 2021 1:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

PDHP begins our 2021 workshop series on March 16th, with a workshop entitled Sociogenomics & Polygenic Scores, co-presented by Ben Domingue of Stanford University’s Graduate School of Education and Erin Ware of the University of Michigan Population Neurodevelopment & Genetics Group. This half-day workshop is geared toward data analysts interested in combining social science and genetic analysis, and will provide information on the recent history of sociogenomics and a novel approach for examining gene-by-environment interactions, as well as hands-on practice with state-of-art techniques in the field (including creating polygenic scores from simulated plink data using a high-performance computing environment).

Topics include:

• Recent history of sociogenomics
• A novel approach for examining gene-by-environment interactions
• Hands-on introduction to high-performance computing and genetic data types
• Computation of polygenic scores using PRSice2 software

Registration Required

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Workshop / Seminar Thu, 11 Mar 2021 13:27:58 -0500 2021-03-16T13:00:00-04:00 2021-03-16T17:00:00-04:00 Off Campus Location Institute for Social Research Workshop / Seminar Poster for Sociogenomics & Polygenic Scores
Coder Spaces (Tuesdays) (March 16, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719696@events.umich.edu Event Begins: Tuesday, March 16, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-03-16T14:00:00-04:00 2021-03-16T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (March 16, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719766@events.umich.edu Event Begins: Tuesday, March 16, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-03-16T15:00:00-04:00 2021-03-16T16:00:00-04:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
CoderSpaces (Wednesdays) (March 17, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719745@events.umich.edu Event Begins: Wednesday, March 17, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-03-17T14:00:00-04:00 2021-03-17T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (March 18, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719729@events.umich.edu Event Begins: Thursday, March 18, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-03-18T15:00:00-04:00 2021-03-18T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Interdisciplinary Seminar on Social Science Methodology (I3SM) (March 19, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824879@events.umich.edu Event Begins: Friday, March 19, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-03-19T12:00:00-04:00 2021-03-19T13:30:00-04:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
CoderSpaces (Mondays) (March 22, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719681@events.umich.edu Event Begins: Monday, March 22, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-03-22T10:30:00-04:00 2021-03-22T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series and Michigan AI Initiative Co-Present: Mona Diab, Computer Science, George Washington University (March 22, 2021 4:00pm) https://events.umich.edu/event/81039 81039-20838681@events.umich.edu Event Begins: Monday, March 22, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Advances in machine learning have led to quite fluent natural language generation technologies. Most of our current optimizations and evaluations focus on accuracy in output. Faithful generation is considered a nice to have, a luxury. In this talk I make the argument that faithful generation is crucial to our generation technologies especially given the scale and impact NLP technologies have on people’s lives.

Mona Diab is a Full Professor of Computer Science at the George Washington University where she directs the Care4Lang NLP lab. She is also Research Scientist with Facebook AI. She conducts research in Statistical Natural Language Processing (NLP) is a rapidly growing, exciting field of research in artificial intelligence and computer science. Interdisciplinarity is inherent to NLP, drawing on the fields of computer algorithms, software engineering, statistics, machine learning, linguistics, pragmatics, information technology, etc. In NLP, researchers model language and its use, and build both analytical models and predictive ones. In Professor Diab’s NLP lab, they address problems in social media processing, building robust enabling technologies such as syntactic and semantic processing tools for written texts in different languages, information extraction tools for large data, multilingual processing, machine translation, and computational sociolinguistic processing. Professor Diab has a special interest in Arabic NLP, where the emphasis has been on investigating Arabic dialect processing where there are very few available automated resources.

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Presentation Tue, 09 Feb 2021 11:13:10 -0500 2021-03-22T16:00:00-04:00 2021-03-22T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Mona Diab
Coder Spaces (Tuesdays) (March 23, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719697@events.umich.edu Event Begins: Tuesday, March 23, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-03-23T14:00:00-04:00 2021-03-23T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
James S. Jackson’s Continuing Legacy and Contributions to Social and Behavioral Research on Black Americans (March 24, 2021 1:00pm) https://events.umich.edu/event/82484 82484-21108104@events.umich.edu Event Begins: Wednesday, March 24, 2021 1:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Insights Speaker Series – James S. Jackson’s Continuing Legacy and Contributions to Social and Behavioral Research on Black Americans

Wednesday, March 24, 1pm EST. https://umich.zoom.us/j/99879554198

Panelists: Robert Taylor (Harold R Johnson Endowed Professor of Social Work, Sheila Feld Collegiate Professor of Social Work, School of Social Work, and Faculty Associate, RCGD); Belinda Tucker (Professor Emerita of Psychiatry & Biobehavioral Sciences, and the Special Liaison for Faculty Development, UCLA); and Phillip Bowman (Professor, Higher and Postsecondary Education at the U-M International Institute)

Join Robert Taylor, Belinda Tucker, and Phillip Bowman for a panel discussion on the continuing legacy and contributions of James S. Jackson.

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Lecture / Discussion Wed, 24 Feb 2021 16:45:04 -0500 2021-03-24T13:00:00-04:00 2021-03-24T14:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
CoderSpaces (Wednesdays) (March 24, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719746@events.umich.edu Event Begins: Wednesday, March 24, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-03-24T14:00:00-04:00 2021-03-24T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (March 25, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719730@events.umich.edu Event Begins: Thursday, March 25, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-03-25T15:00:00-04:00 2021-03-25T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (March 29, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719682@events.umich.edu Event Begins: Monday, March 29, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-03-29T10:30:00-04:00 2021-03-29T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Decennial Census Digitization and Linkage Project (March 29, 2021 12:00pm) https://events.umich.edu/event/80205 80205-20596107@events.umich.edu Event Begins: Monday, March 29, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Contact PSC Office for Zoom details.

The Decennial Census Digitization and Linkage project (DCDL) will digitize and link individual records across the 1960-1990 censuses and create tools to improve the dissemination of these data. When combined with already-available linkages between the censuses of 1940, 2000, 2010, and soon-to-be 2020, DCDL will complete a massive longitudinal data infrastructure covering almost the entire U.S. population since 1940. The resulting data resource will provide transformational opportunities for research, education, and evidence-building across the social, behavioral, and economic sciences. I'll describe the project's innovative methods of data rescue, record linkage, and restricted data access.

BIO:
J. Trent Alexander is the Associate Director and a Research Professor at ICPSR in the Institute for Social Research at the University of Michigan. Alexander's research focuses on historical demography and large-scale data infrastructures. Prior to coming to ICPSR in 2017, Alexander initiated the Census Longitudinal Infrastructure Project at the Census Bureau and managed the Integrated Public Use Microdata Series (IPUMS) at the University of Minnesota.

Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

Contact PSC Office for Zoom details.

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Workshop / Seminar Tue, 16 Mar 2021 12:57:06 -0400 2021-03-29T12:00:00-04:00 2021-03-29T13:00:00-04:00 Off Campus Location Institute for Social Research Workshop / Seminar Flyer for Brown Bag seminar
MIDAS Seminar Series Presents: Anne Plant, NIST Fellow, National Institute of Standards and Technology (March 29, 2021 4:00pm) https://events.umich.edu/event/82212 82212-21054518@events.umich.edu Event Begins: Monday, March 29, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

While reproducibility can be an important hallmark of good science, it is not often the most important indicator. The discipline of metrology, or measurement science, describes a measurement result as a value and the uncertainty around that value. We propose a systematic process for considering the sources of uncertainty in a scientific study that can be applied to virtually all

disciplines of scientific research. We suggest that a research study can be characterized by how sources of uncertainty in the study are reported and mitigated. This approach provides a path for sharing experimental data on complex systems such as biological network processes. A serious challenge for such studies involves collecting experimental metadata and protocol details.

Bio:

Dr. Plant is currently a NIST Fellow, focusing on cell imaging and theoretical frameworks for understanding complex biological response in cells. She is an ex officio member of the NIBIB National Advisory Council, a Fellow of the AIMBE, and an AAAS Fellow. She previously served as Chief of the Biosystems and Biomaterials Division at NIST, and in the White House Office of Science and Technology Policy.

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Workshop / Seminar Wed, 24 Feb 2021 11:02:58 -0500 2021-03-29T16:00:00-04:00 2021-03-29T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Anne Plant
Introduction to Causal Inference and Treatment Effects (March 30, 2021 11:30am) https://events.umich.edu/event/82859 82859-21203303@events.umich.edu Event Begins: Tuesday, March 30, 2021 11:30am
Location: Off Campus Location
Organized By: Institute for Healthcare Policy and Innovation

This talk introduces the basic concepts of causal inference including counterfactuals and potential outcomes. Chuck Huber of STATA Corp. will demonstrate how to use Stata's -teffects- suite of commands to fit causal models using propensity score matching, inverse-probability weighting, regression adjustment, "doubly-robust" estimators that use a combination of inverse-probability weighting with regression adjustment, and nearest-neighbor matching.

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Workshop / Seminar Mon, 08 Mar 2021 13:27:31 -0500 2021-03-30T11:30:00-04:00 2021-03-30T12:30:00-04:00 Off Campus Location Institute for Healthcare Policy and Innovation Workshop / Seminar DMH Events
Coder Spaces (Tuesdays) (March 30, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719698@events.umich.edu Event Begins: Tuesday, March 30, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-03-30T14:00:00-04:00 2021-03-30T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (March 30, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719767@events.umich.edu Event Begins: Tuesday, March 30, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-03-30T15:00:00-04:00 2021-03-30T16:00:00-04:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
CoderSpaces (Wednesdays) (March 31, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719747@events.umich.edu Event Begins: Wednesday, March 31, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-03-31T14:00:00-04:00 2021-03-31T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
openICPSR: ICPSR's Self-Publishing Repository (April 1, 2021 1:00pm) https://events.umich.edu/event/81792 81792-20959282@events.umich.edu Event Begins: Thursday, April 1, 2021 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Register here: https://myumi.ch/pd5Ee

In this webinar, we will present about openICPSR, a no-cost, self-publishing repository for social, behavioral, and health sciences research data. Come learn about what makes openICPSR unique, including how it is well-suited for researchers to share replication data sets. We will also discuss openICPSR Repositories, a fully-host, branded research data-sharing service developed to meet the needs of organizations sharing social, behavioral, and health sciences research data, including journals, research centers, and professional associations.

This webinar is free and open to the public. The webinar will be recorded, and the slides and recording will be sent to all webinar registrants.

New to Zoom? Please visit Zoom FAQ for Attendees: http://myumi.ch/kx2oo.

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Presentation Fri, 05 Feb 2021 13:26:26 -0500 2021-04-01T13:00:00-04:00 2021-04-01T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Blue image with bright dots behind announcement of openICPSR webinar
CoderSpaces (Thursdays) (April 1, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719731@events.umich.edu Event Begins: Thursday, April 1, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-04-01T15:00:00-04:00 2021-04-01T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Interdisciplinary Seminar on Social Science Methodology (I3SM) (April 2, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824880@events.umich.edu Event Begins: Friday, April 2, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-04-02T12:00:00-04:00 2021-04-02T13:30:00-04:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
CoderSpaces (Mondays) (April 5, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719683@events.umich.edu Event Begins: Monday, April 5, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-04-05T10:30:00-04:00 2021-04-05T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Webinar Series Presents: Vipin Kumar, University of Minnesota (April 5, 2021 4:00pm) https://events.umich.edu/event/81083 81083-20846543@events.umich.edu Event Begins: Monday, April 5, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Bio:

Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received the B.E. degree in Electronics & Communication Engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in Electronics Engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in Computer Science from University of Maryland, College Park, in 1982. He also served as the Head of the Computer Science and Engineering Department from 2005 to 2015 and the Director of Army High Performance Computing Research Center (AHPCRC) from 1998 to 2005.

Kumar’s current research interests span data mining, high-performance computing, and their applications in Climate/Ecosystems and health care. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). He has authored over 300 research articles, and has coedited or coauthored 10 books including two text books “Introduction to Parallel Computing” and “Introduction to Data Mining”, that are used world-wide and have been translated into many languages. Kumar’s current major research focus is on bringing the power of big data and machine learning to understand the impact of human induced changes on the Earth and its environment. Kumar served as the Lead PI of a 5-year, $10 Million project,”Understanding Climate Change – A Data Driven Approach”, funded by the NSF’s Expeditions in Computing program that is aimed at pushing the boundaries of computer science research.

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Presentation Fri, 22 Jan 2021 10:38:20 -0500 2021-04-05T16:00:00-04:00 2021-04-05T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Vipin Kumar
Coder Spaces (Tuesdays) (April 6, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719699@events.umich.edu Event Begins: Tuesday, April 6, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-04-06T14:00:00-04:00 2021-04-06T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Wednesdays) (April 7, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719748@events.umich.edu Event Begins: Wednesday, April 7, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-04-07T14:00:00-04:00 2021-04-07T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Coded Bias - Free Film Screening (April 8, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430617@events.umich.edu Event Begins: Thursday, April 8, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-08T00:01:00-04:00 2021-04-08T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
CoderSpaces (Thursdays) (April 8, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719732@events.umich.edu Event Begins: Thursday, April 8, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-04-08T15:00:00-04:00 2021-04-08T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Coded Bias - Free Film Screening (April 9, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430618@events.umich.edu Event Begins: Friday, April 9, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-09T00:01:00-04:00 2021-04-09T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
Michigan Program in Survey and Data Science Information Webinar (April 9, 2021 12:00pm) https://events.umich.edu/event/83180 83180-21288792@events.umich.edu Event Begins: Friday, April 9, 2021 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

Learn about opportunities to earn a Masters or Doctoral degree in Survey and Data Science. Students in the program receive theoretical grounding in all aspects of survey methodology, from sample design and measurement, to data collection, extraction and wrangling, data visualization, statistical estimation, and probability and distribution theory. Students have the opportunity to explore novel ways to develop applications of survey methodology in a wide variety of field.

Advance registration is required, bit.ly/38YZLj1

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Presentation Fri, 19 Mar 2021 11:09:33 -0400 2021-04-09T12:00:00-04:00 2021-04-09T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Presentation Michigan Program in Survey and Data Science Information Webinar
Coded Bias - Free Film Screening (April 10, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430619@events.umich.edu Event Begins: Saturday, April 10, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-10T00:01:00-04:00 2021-04-10T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
Coded Bias - Free Film Screening (April 11, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430620@events.umich.edu Event Begins: Sunday, April 11, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-11T00:01:00-04:00 2021-04-11T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
Coded Bias - Free Film Screening (April 12, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430621@events.umich.edu Event Begins: Monday, April 12, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-12T00:01:00-04:00 2021-04-12T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
CoderSpaces (Mondays) (April 12, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719684@events.umich.edu Event Begins: Monday, April 12, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-04-12T10:30:00-04:00 2021-04-12T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
MIDAS Seminar Series Presents: Vicki Bogan, Economics and Management, Cornell University (April 12, 2021 4:00pm) https://events.umich.edu/event/82466 82466-21106115@events.umich.edu Event Begins: Monday, April 12, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

We provide empirical evidence that visceral factors affect financial risk taking by showing that exposure to mass shootings alters mutual fund managers’ risk taking decisions. Funds that are exposed to mass shootings subsequently decrease risk relative to their peers. The effect that we document is temporary, lasting approximately one quarter before reverting to normal levels and is strongest among managers with demographics shown to express greater fear from mass shootings. Together with the literature on laboratory studies that show that market downturns induce fear, our findings suggest that fear could exacerbate variation in risk taking, generating the highly volatile countercyclical risk premiums shown to exist in markets.

Bio:

Vicki Bogan’s research interests are in the areas of financial economics, behavioral finance, and applied microeconomics centering on issues involving investment decision making behavior and financial markets. She explores questions relating to investment decision making (corporate and individual) and household portfolio allocation with the goal of shedding light on how to better model observed behavior.

Bogan has published numerous journal articles and book chapters including a book chapter on “Household Investment Decisions,” in Investor Behavior: The Psychology of Financial Planning and Investing. Bogan’s research has received considerable media attention including radio interviews and coverage in Forbes.com, the Wall Street Journal website, NPR’s Marketplace Tech, PsychologyToday.com, and the Harvard Business Review Blog. She also has been featured on the PBS News Hour – Paul Solman’s Making Sense, the Lou Hutt Show on Sirius XM radio, and Knowledge@Wharton on Sirius XM radio.

Bogan currently serves as Co-Editor for Financial Planning Review. She is the founder and director for the Institute for Behavioral and Household Finance. She also worked as a consultant for Hartford Funds Management Group, Inc.

Prof. Bogan teaches finance courses for master’s and undergraduate students in the Dyson School of Cornell University’s SC Johnson College of Business. She has received two outstanding educator awards and the SUNY Chancellor’s Award for Excellence in Teaching.

Bogan holds a Sc.B. degree in Applied Mathematics and Economics from Brown University, an M.B.A. in Finance and Strategic Management from the Wharton School of the University of Pennsylvania, an M.A. in Economics from Brown University, and a Ph.D. in Economics from Brown University. She also has held a visiting fellow appointment at Princeton University.

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Presentation Wed, 24 Feb 2021 11:25:34 -0500 2021-04-12T16:00:00-04:00 2021-04-12T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Vicki Bogan
Coded Bias - Free Film Screening (April 13, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430622@events.umich.edu Event Begins: Tuesday, April 13, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-13T00:01:00-04:00 2021-04-13T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
Coder Spaces (Tuesdays) (April 13, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719700@events.umich.edu Event Begins: Tuesday, April 13, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-04-13T14:00:00-04:00 2021-04-13T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (April 13, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719768@events.umich.edu Event Begins: Tuesday, April 13, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-04-13T15:00:00-04:00 2021-04-13T16:00:00-04:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
Coded Bias - Free Film Screening (April 14, 2021 12:01am) https://events.umich.edu/event/83579 83579-21430623@events.umich.edu Event Begins: Wednesday, April 14, 2021 12:01am
Location: Off Campus Location
Organized By: Information Assurance

The U-M Dissonance Event Series invites you to watch a free, on-demand screening of the documentary film Coded Bias. Watch Coded Bias on-demand anytime between Thursday, April 8, through Wednesday, April 14.

Visit the Dissonance events page to learn more, watch the trailer and receive the passcode you will need to access Coded Bias and watch the film for free.

https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Please also join us over Zoom on Thursday, April 15 at 4 p.m. EST for an "At the Movies" style panel discussion of the film Coded Bias. A panel of U-M experts will exchange views on the challenges presented by technologies that reflect the systemic biases in American society.

Links to the panel discussion can be found on the same event link above and on Happenings at Michigan on Thursday, April 15.

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

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Film Screening Fri, 09 Apr 2021 14:43:58 -0400 2021-04-14T00:01:00-04:00 2021-04-14T23:59:00-04:00 Off Campus Location Information Assurance Film Screening Dissonance Event Series: Free Screening of the Film Coded Bias
CoderSpaces (Wednesdays) (April 14, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719749@events.umich.edu Event Begins: Wednesday, April 14, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-04-14T14:00:00-04:00 2021-04-14T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Thursdays) (April 15, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719733@events.umich.edu Event Begins: Thursday, April 15, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-04-15T15:00:00-04:00 2021-04-15T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Coded Bias "At the Movies" Panel Discussion (April 15, 2021 4:00pm) https://events.umich.edu/event/83580 83580-21430624@events.umich.edu Event Begins: Thursday, April 15, 2021 4:00pm
Location: Off Campus Location
Organized By: Information Assurance

Join a panel of U-M experts over Zoom for an "At the Movies" style discussion of the film Coded Bias. The panelists will exchange views on the challenges presented by technologies that reflect the systemic biases in American society. Panelists include:
- Nazanin Andalibi, assistant professor of information, School of Information; assistant professor of Digital Studies Institute, College of Literature, Science, and the Arts (LSA)
- Mingyan Liu, Peter and Evelyn Fuss Chair of Electrical and Computer Engineering, Electrical Engineering and Computer Science (EECS)
- Nicholson Price, professor of law, Law School
- Grace Trinidad (moderator), Ethics, Legal, and Social Implications (ELSI) postdoctoral fellow, School of Public Health

AVAILABLE PRIOR TO THE DISCUSSION
To be better informed prior to the Coded Bias panel discussion, be sure to take time to watch a free screening of the film between April 8 and April 14. More information is available at https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

Add the panel discussion to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/MWZjMnFtNmw0MzN2MDk0cmRyaHQ4b3VpMTggdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

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Lecture / Discussion Fri, 09 Apr 2021 14:43:13 -0400 2021-04-15T16:00:00-04:00 2021-04-15T17:00:00-04:00 Off Campus Location Information Assurance Lecture / Discussion Dissonance Event Series: Panel Discussion on the film Coded Bias
Interdisciplinary Seminar on Social Science Methodology (I3SM) (April 16, 2021 12:00pm) https://events.umich.edu/event/80951 80951-20824881@events.umich.edu Event Begins: Friday, April 16, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Political Science

The primary function of the Interdisciplinary Seminar in Social Science Methodology (I3SM) is to provide an interdisciplinary forum for students and faculty to present their current projects and to receive feedback on either the methodological component of their project or a methodology under development. Presenters can also present new research questions and ideas and receive ideas about which methodologies would work best to tackle such questions. We define methodology broadly as the approaches to which data is collected and/or organized to give empirical content to social science research. It includes both qualitative and quantitative methodologies.

To join the meeting via Zoom, email skuzushi@umich.edu for the meeting link.

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Livestream / Virtual Tue, 19 Jan 2021 12:45:40 -0500 2021-04-16T12:00:00-04:00 2021-04-16T13:30:00-04:00 Off Campus Location Department of Political Science Livestream / Virtual Methodology
CoderSpaces (Mondays) (April 19, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719685@events.umich.edu Event Begins: Monday, April 19, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-04-19T10:30:00-04:00 2021-04-19T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Earnings Assimilation of Second-and Later-Generation Men: Evidence from Administrative Records (April 19, 2021 12:00pm) https://events.umich.edu/event/80921 80921-20824848@events.umich.edu Event Begins: Monday, April 19, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Dr Andrés Villarreal (University of California, Los Angeles) will discuss "Earnings Assimilation of Second-and Later-Generation Men: Evidence from Administrative Records"

Contact PSC Office for Zoom details.

Abstract: The systematic study of immigrants’ economic assimilation requires an analysis of both intra- and intergenerational mobility, that is, of the progress made by each immigrant generation over the course of their own lives and relative to their parents. In this study we examine both types of mobility using a unique dataset linking respondents of multiple waves of the Current Population Survey (CPS) to their longitudinal tax records. This longitudinal information allows us follow individuals’ earnings trajectories and measure the extent to which second-generation men are able to reduce the earnings gap with later generations during their lifetimes. To overcome the limitations of previous studies examining intergenerational mobility we match a sample of second- and later-generation children to their actual parents. Our matching strategy allows us to identify the exact third generation and to evaluate the contribution of ethnic attrition. We find large ethnoracial disparities in earnings mobility consistent with segmented assimilation theory. The earnings assimilation of Hispanic men stalls or reverses during the course of the second generation rather than in the third generation as previously thought. Once the lower earnings of first-generation parents are taken into account, second-generation Hispanic men experience lower intergenerational earnings mobility.



BIO:
Andrés Villarreal is a sociologist and social demographer specializing in the areas of international migration, race and ethnicity, social stratification, and health in social context. Much of his research focuses on Latin America and the Latin American-origin population in the U.S. Within the area of immigration he seeks to understand how population movements are driven by economic changes, and the consequences that these movements have for social wellbeing. In an ongoing research project he is examining the long-term economic assimilation of immigrants in the U.S. using administrative data. In a new line of research he is exploring the social and demographic consequences of the opioid epidemic.

Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

Contact PSC Office for Zoom details.

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Lecture / Discussion Mon, 12 Apr 2021 15:18:11 -0400 2021-04-19T12:00:00-04:00 2021-04-19T13:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion Andrés Villarreal
MIDAS Seminar Series Presents: Ben Wellington, Quantitative Analyst, Two Sigma (April 19, 2021 4:00pm) https://events.umich.edu/event/81088 81088-20846549@events.umich.edu Event Begins: Monday, April 19, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Ben Wellington is a Quantitative Analyst at Two Sigma and the creator of I Quant NY, a data science and policy blog that focuses on insights drawn from New York City’s public data, and advocates for the expansion and improvement of that data. His data science has influenced local government policy including changes in NYC street infrastructure, the way New Yorkers pay for cabs and the design of NYC subway vending machines. Ben is a contributor to the New Yorker, and a visiting assistant professor in the City & Regional Planning program at the Pratt Institute in Brooklyn where he teaches statistics using urban open data and holds a Ph.D. in Computer Science from New York University.

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Presentation Fri, 22 Jan 2021 11:05:47 -0500 2021-04-19T16:00:00-04:00 2021-04-19T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Ben Wellington
Coder Spaces (Tuesdays) (April 20, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719701@events.umich.edu Event Begins: Tuesday, April 20, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-04-20T14:00:00-04:00 2021-04-20T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Wednesdays) (April 21, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719750@events.umich.edu Event Begins: Wednesday, April 21, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Wednesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)

Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

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Meeting Wed, 27 Jan 2021 07:50:03 -0500 2021-04-21T14:00:00-04:00 2021-04-21T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Science Coast to Coast: Data Equity and Open Science (April 21, 2021 3:00pm) https://events.umich.edu/event/83774 83774-21503041@events.umich.edu Event Begins: Wednesday, April 21, 2021 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Please register: https://academicdatascience.org/resources/coast2coastseminar

H. V. Jagadish, Director, Michigan Institute for Data Science; Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, University of Michigan

Data Equity: A Core Requirement for Responsible Data Science

It was only recently that we regularly used to hear statements like “Let the data speak for themselves”. Today, we instead hear worries about fairness of data-driven systems and AI. Nevertheless, a focus on a specific formulation of fairness in one data science step is far too narrow to be the whole story. We need to address inequitable representation in the data record, inequities due to the data scientist’s world view being reflected in the model, inequities in the resulting outcomes, and inequities in access to fruits of the analysis. In this talk, I will lay out a research agenda in this direction, and invite you to join me.

Ciera Martinez, Biodiversity and Environmental Sciences Lead, Berkeley Institute for Data Science, University of California – Berkeley

Open science in the wild: principles to build reproducible and collaborative data analysis workflows

The academic research system is not built to incentivize open science practices, but transparency and reproducible methodology allows researchers to critically assess and build upon results to fuel scientific discovery and supports a more collaborative and equitable research community. Open science and data practices are often presented as ideals, but rarely do we train for how to handle the intricacies that emerge from every unique research project life cycle. In this talk I will present the ERP (Explore, Refine, and Produce) workflow – a three-phase data analysis workflow that guides researchers to create reproducible and responsible data analysis workflows. Each phase is centered on how to make decisions based on the audience the research is communicated, the research products created, and the career aspirations of the researchers involved. We hope this work helps create a community of practice for how we design and train for reproducible data intensive research and helps demystify data analysis for both students new to research and current researchers who are new to data-intensive work.

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Presentation Thu, 15 Apr 2021 19:53:35 -0400 2021-04-21T15:00:00-04:00 2021-04-21T16:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Data Equity and Open Science
Examining the impact of COVID-19 on adults with physical disabilities from marginalized communities (April 22, 2021 2:00pm) https://events.umich.edu/event/83637 83637-21446269@events.umich.edu Event Begins: Thursday, April 22, 2021 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This webinar will present the findings from a recent study on the initial impact of the COVID-19 pandemic on adults with physical disabilities from marginalized communities in Southeast Michigan, one of the early pandemic epicenters in the United States. Interviews with 16 adults revealed how participants either had to engage in risky behavior to have their needs met or avoid risk and not have those needs met. They contribute to understandings of risk, its impact on physical and psychological health, and the importance of accommodations. The study expands insight into early responses to the pandemic among individuals with long-term physical disabilities from marginalized communities. It helps elucidate how socioeconomic status and race/ethnicity can differentially impact the lives of adults with physical disabilities and further marginalize a population that is “always already” vulnerable. This knowledge can expand awareness and appreciation of how social, economic, and political systems are structured and integrated into future clinical guidelines and emergency response policies and more adequately addressed.

This webinar is free and open to the public. Communication Access Realtime Translation services will be available to provide live closed captions for the event.

The content of this webinar has been developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR #90RTHF0001). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this webinar do not necessarily represent the policy of NIDILRR, ACL, or HHS and you should not assume endorsement by the Federal Government.

Register at https://umich.zoom.us/webinar/register/WN_8RIqY8GES1q8EeoSya0JCQ.

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Presentation Thu, 08 Apr 2021 15:28:26 -0400 2021-04-22T14:00:00-04:00 2021-04-22T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Blue and white promotional flyer for UofM IDEAL RRTC Webinar - Examining Impact of COVID19 on Adults with Physical Disability from Marginalized Communities
CoderSpaces (Thursdays) (April 22, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719734@events.umich.edu Event Begins: Thursday, April 22, 2021 3:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Thursdays 3-5PM
Join via Zoom* (https://umich.zoom.us/j/92183172919)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Erin Ware (SRC/ISR), Saki Kuzushima (LSA Political Science), Shelly Johnson (ARC-TS), Yuki Shiraito (LSA Political Science/CPS)

Expertise: Bash, Bayesian statistics, git, HPC, Linux, natural language processing, OpenMP, PBS, Python, R, Rcpp, SAS, shell, Slurm, statistical modeling, web scraping

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Meeting Wed, 27 Jan 2021 07:52:08 -0500 2021-04-22T15:00:00-04:00 2021-04-22T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
CoderSpaces (Mondays) (April 26, 2021 10:30am) https://events.umich.edu/event/80409 80409-20719686@events.umich.edu Event Begins: Monday, April 26, 2021 10:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Mondays 10:30AM-12PM (drop in)
Join via Zoom* (https://umich.zoom.us/j/97155787515)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)

Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, HPC, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

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Meeting Wed, 27 Jan 2021 07:50:41 -0500 2021-04-26T10:30:00-04:00 2021-04-26T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Coder Spaces (Tuesdays) (April 27, 2021 2:00pm) https://events.umich.edu/event/80410 80410-20719702@events.umich.edu Event Begins: Tuesday, April 27, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Tuesdays 2-3:30PM
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR), and Chris Fariss (ISR)

Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

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Meeting Wed, 27 Jan 2021 07:53:54 -0500 2021-04-27T14:00:00-04:00 2021-04-27T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Data Feminism Faculty Reading Group (April 27, 2021 3:00pm) https://events.umich.edu/event/80428 80428-20719769@events.umich.edu Event Begins: Tuesday, April 27, 2021 3:00pm
Location: Off Campus Location
Organized By: Institute for Research on Women and Gender

Faculty Reading Group led by Prof. Libby Hemphill on the book, "Data Feminism" by Catherine D'Ignazio and Lauren F. Klein. The group's goals are to read and discuss research, develop research collaborations, and eventually seek funding for future work.


FAQ
Q: When/where will meetings take place?
A: We'll start on Zoom, on Tuesdays at 3:00 p.m. ET, beginning January 19, 2021. Our plan is for this group to grow and expand to continue into the future and not just the winter term.

Q: Is the group for faculty only?
A: We may expand in the future, but for starters, the group is for faculty, including postdocs and research investigators, on any track and in any discipline(s).

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Livestream / Virtual Wed, 06 Jan 2021 12:01:11 -0500 2021-04-27T15:00:00-04:00 2021-04-27T16:00:00-04:00 Off Campus Location Institute for Research on Women and Gender Livestream / Virtual book cover, Data Feminism
Stress and Health in Context: The Role of Negative Relationships (April 28, 2021 1:00pm) https://events.umich.edu/event/83765 83765-21501085@events.umich.edu Event Begins: Wednesday, April 28, 2021 1:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Stress and Health in Context: The Role of Negative Relationships
Wednesday, April 28, 1pm EDT: https://umich.zoom.us/j/98477632981

A burgeoning literature shows social ties are integral for health and survival. Kira Birditt‘s program of research focuses on negative aspects of relationships including the extent to which they are irritating, critical, or demanding. In this talk she will discuss the findings from her program of research showing that: 1) There is a great deal of variability in negative aspects of relationships within and between individuals, 2) Negative aspects of relationships have important implications for health that often vary by the context of stress, and 3) The implications of relationships and stress vary race/ethnicity. She will also discuss the Aging and Biopsychosocial Innovations program that she leads and directions for future research.

Kira Birditt earned a PhD in Human Development and Family Studies from Pennsylvania State University and B.A. and M.S. degrees in Psychology from Western Washington University. She serves as a Research Associate Professor at the Survey Research Center and the Director of the Aging and Biopsychosocial Innovations Program. She is currently PI on three R01 projects funded by NIA examining: 1) racial health disparities in stress, social ties and health, 2) racial inequities in health among Alzheimer’s caregivers, and 3) alcohol use and cardiovascular health among aging couples.

This webinar is part of a continuing series focusing on the research happening at ISR. If there is a topic you would like to see featured or have an idea for a future presentation, please email abeattie@umich.edu. This talk is being recorded and will be shared widely.

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Lecture / Discussion Thu, 15 Apr 2021 15:59:00 -0400 2021-04-28T13:00:00-04:00 2021-04-28T14:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer