Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. 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
CoderSpaces (Wednesdays) (April 28, 2021 2:00pm) https://events.umich.edu/event/80411 80411-20719751@events.umich.edu Event Begins: Wednesday, April 28, 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 2021-04-28T14:00:00-04:00 2021-04-28T15:30:00-04:00 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 29, 2021 3:00pm) https://events.umich.edu/event/80412 80412-20719735@events.umich.edu Event Begins: Thursday, April 29, 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 2021-04-29T15:00:00-04:00 2021-04-29T17:00:00-04:00 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) (May 3, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619085@events.umich.edu Event Begins: Monday, May 3, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-05-03T13:30:00-04:00 2021-05-03T15:00:00-04:00 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 (Tuesdays) (May 4, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619209@events.umich.edu Event Begins: Tuesday, May 4, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-05-04T14:00:00-04:00 2021-05-04T15:30:00-04:00 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) (May 5, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619124@events.umich.edu Event Begins: Wednesday, May 5, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-05-05T14:00:00-04:00 2021-05-05T15:30:00-04:00 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) (May 6, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619146@events.umich.edu Event Begins: Thursday, May 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-05-06T14:00:00-04:00 2021-05-06T15:30:00-04:00 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 (Mondays) (May 10, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619086@events.umich.edu Event Begins: Monday, May 10, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-05-10T13:30:00-04:00 2021-05-10T15:00:00-04:00 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 (Tuesdays) (May 11, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619210@events.umich.edu Event Begins: Tuesday, May 11, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-05-11T14:00:00-04:00 2021-05-11T15:30:00-04:00 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.
Beyond the Pandemic: Challenges and Opportunities for Changes in Education (May 12, 2021 1:00pm) https://events.umich.edu/event/83937 83937-21619168@events.umich.edu Event Begins: Wednesday, May 12, 2021 1:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Beyond the Pandemic: Challenges and Opportunities for Changes in Education
Wednesday, May 12 at 1pm EDT
https://umich.zoom.us/j/96351558688

At the end of the school year in 2020 parents, educators, and researchers, wondered how to deal with the “COVID slide” related to achievement and gains in learning due to schools shifting to virtual learning across the country. What we did not know at the time is that many schools would struggle to open at all in the Fall of 2020 and online and remote learning would continue to be one of the primary ways that children were educated for the rest of the 2020-21 school year. Today, the question remains: What will parents, educators, and researchers need to consider regarding achievement and learning gains as children are likely to return to in-person schooling in Fall 2021? Dr. Pamela Davis-Kean will discuss her research on how homeschooling was discussed on social media, the issues related to “holding back” or repeating a grade in primary school, and how new proposed policies for free community college may be important for helping those in secondary education get extra time to develop skills for entry into a four-year college.

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Lecture / Discussion Fri, 30 Apr 2021 16:44:15 -0400 2021-05-12T13:00:00-04:00 2021-05-12T14:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
CoderSpaces (Wednesdays) (May 12, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619125@events.umich.edu Event Begins: Wednesday, May 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-05-12T14:00:00-04:00 2021-05-12T15:30:00-04:00 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) (May 13, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619147@events.umich.edu Event Begins: Thursday, May 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-05-13T14:00:00-04:00 2021-05-13T15:30:00-04:00 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.
CoderSpaces (Mondays) (May 17, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619087@events.umich.edu Event Begins: Monday, May 17, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-05-17T13:30:00-04:00 2021-05-17T15:00:00-04:00 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 (Tuesdays) (May 18, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619211@events.umich.edu Event Begins: Tuesday, May 18, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-05-18T14:00:00-04:00 2021-05-18T15:30:00-04:00 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) (May 19, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619126@events.umich.edu Event Begins: Wednesday, May 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-05-19T14:00:00-04:00 2021-05-19T15:30:00-04:00 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) (May 20, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619148@events.umich.edu Event Begins: Thursday, May 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-05-20T14:00:00-04:00 2021-05-20T15:30:00-04:00 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 (Mondays) (May 24, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619088@events.umich.edu Event Begins: Monday, May 24, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-05-24T13:30:00-04:00 2021-05-24T15:00:00-04:00 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 (Tuesdays) (May 25, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619212@events.umich.edu Event Begins: Tuesday, May 25, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-05-25T14:00:00-04:00 2021-05-25T15:30:00-04:00 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) (May 26, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619127@events.umich.edu Event Begins: Wednesday, May 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-05-26T14:00:00-04:00 2021-05-26T15:30:00-04:00 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) (May 27, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619149@events.umich.edu Event Begins: Thursday, May 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-05-27T14:00:00-04:00 2021-05-27T15:30:00-04:00 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.
CoderSpaces (Tuesdays) (June 1, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619213@events.umich.edu Event Begins: Tuesday, June 1, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

]]>
Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-06-01T14:00:00-04:00 2021-06-01T15:30:00-04:00 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) (June 2, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619128@events.umich.edu Event Begins: Wednesday, June 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-06-02T14:00:00-04:00 2021-06-02T15:30:00-04:00 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) (June 3, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619150@events.umich.edu Event Begins: Thursday, June 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-06-03T14:00:00-04:00 2021-06-03T15:30:00-04:00 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 (Mondays) (June 7, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619090@events.umich.edu Event Begins: Monday, June 7, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-06-07T13:30:00-04:00 2021-06-07T15:00:00-04:00 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 (Tuesdays) (June 8, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619214@events.umich.edu Event Begins: Tuesday, June 8, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

]]>
Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-06-08T14:00:00-04:00 2021-06-08T15:30:00-04:00 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) (June 9, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619129@events.umich.edu Event Begins: Wednesday, June 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-06-09T14:00:00-04:00 2021-06-09T15:30:00-04:00 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) (June 10, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619151@events.umich.edu Event Begins: Thursday, June 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-06-10T14:00:00-04:00 2021-06-10T15:30:00-04:00 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 (Mondays) (June 14, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619091@events.umich.edu Event Begins: Monday, June 14, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-06-14T13:30:00-04:00 2021-06-14T15:00:00-04:00 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 (Tuesdays) (June 15, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619215@events.umich.edu Event Begins: Tuesday, June 15, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-06-15T14:00:00-04:00 2021-06-15T15:30:00-04:00 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) (June 16, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619130@events.umich.edu Event Begins: Wednesday, June 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-06-16T14:00:00-04:00 2021-06-16T15:30:00-04:00 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.
CoderSpaces (Thursdays) (June 17, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619152@events.umich.edu Event Begins: Thursday, June 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-06-17T14:00:00-04:00 2021-06-17T15:30:00-04:00 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 (Mondays) (June 21, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619092@events.umich.edu Event Begins: Monday, June 21, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-06-21T13:30:00-04:00 2021-06-21T15:00:00-04:00 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 (Tuesdays) (June 22, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619216@events.umich.edu Event Begins: Tuesday, June 22, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-06-22T14:00:00-04:00 2021-06-22T15:30:00-04:00 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) (June 23, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619131@events.umich.edu Event Begins: Wednesday, June 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-06-23T14:00:00-04:00 2021-06-23T15:30:00-04:00 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.
CoderSpaces (Thursdays) (June 24, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619153@events.umich.edu Event Begins: Thursday, June 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-06-24T14:00:00-04:00 2021-06-24T15:30:00-04:00 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 (Mondays) (June 28, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619093@events.umich.edu Event Begins: Monday, June 28, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-06-28T13:30:00-04:00 2021-06-28T15:00:00-04:00 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 (Tuesdays) (June 29, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619217@events.umich.edu Event Begins: Tuesday, June 29, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-06-29T14:00:00-04:00 2021-06-29T15:30:00-04:00 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) (June 30, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619132@events.umich.edu Event Begins: Wednesday, June 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-06-30T14:00:00-04:00 2021-06-30T15:30:00-04:00 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.
CoderSpaces (Thursdays) (July 1, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619154@events.umich.edu Event Begins: Thursday, July 1, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-07-01T14:00:00-04:00 2021-07-01T15:30:00-04:00 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 (Tuesdays) (July 6, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619218@events.umich.edu Event Begins: Tuesday, July 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

]]>
Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-07-06T14:00:00-04:00 2021-07-06T15:30:00-04:00 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) (July 7, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619133@events.umich.edu Event Begins: Wednesday, July 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-07-07T14:00:00-04:00 2021-07-07T15:30:00-04:00 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.
CoderSpaces (Thursdays) (July 8, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619155@events.umich.edu Event Begins: Thursday, July 8, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-07-08T14:00:00-04:00 2021-07-08T15:30:00-04:00 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 (Mondays) (July 12, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619095@events.umich.edu Event Begins: Monday, July 12, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-07-12T13:30:00-04:00 2021-07-12T15:00:00-04:00 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 (Tuesdays) (July 13, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619219@events.umich.edu Event Begins: Tuesday, July 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-07-13T14:00:00-04:00 2021-07-13T15:30:00-04:00 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.
CoderSpaces (Tuesdays) (July 14, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21624046@events.umich.edu Event Begins: Wednesday, July 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

]]>
Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-07-14T14:00:00-04:00 2021-07-14T15:30:00-04:00 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 (Wednesdays) (July 14, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619134@events.umich.edu Event Begins: Wednesday, July 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

]]>
Meeting Thu, 06 May 2021 12:08:20 -0400 2021-07-14T14:00:00-04:00 2021-07-14T15:30:00-04:00 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) (July 15, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619156@events.umich.edu Event Begins: Thursday, July 15, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

]]>
Meeting Thu, 06 May 2021 12:08:52 -0400 2021-07-15T14:00:00-04:00 2021-07-15T15:30:00-04:00 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 (Mondays) (July 19, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619096@events.umich.edu Event Begins: Monday, July 19, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-07-19T13:30:00-04:00 2021-07-19T15:00:00-04:00 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 (Tuesdays) (July 20, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619220@events.umich.edu Event Begins: Tuesday, July 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-07-20T14:00:00-04:00 2021-07-20T15:30:00-04:00 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) (July 21, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619135@events.umich.edu Event Begins: Wednesday, July 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-07-21T14:00:00-04:00 2021-07-21T15:30:00-04:00 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.
CoderSpaces (Thursdays) (July 22, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619157@events.umich.edu Event Begins: Thursday, July 22, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-07-22T14:00:00-04:00 2021-07-22T15:30:00-04:00 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.
How to Use TransPop Data: The first national probability sample of transgender individuals in the United States (July 22, 2021 2:00pm) https://events.umich.edu/event/84448 84448-21623998@events.umich.edu Event Begins: Thursday, July 22, 2021 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for a virtual presentation of TransPop, the first national probability sample of transgender individuals in the United States. During this presentation you'll learn how to use these data to reach your own groundbreaking results.

The TransPop study not only describes the demographic make-up of the transgender population and their experiences related to identity and transition, but also aims to provide information on areas like health outcomes, health care access, quality of life, and experiences with discrimination.

In addition to being the first national probability sample of transgender individuals in the United States, it also includes a comparative cisgender sample. A primary goal of this study was to provide researchers with a representative sample of transgender people in the United States. The study examines a variety of health-relevant domains including health outcomes and health behaviors, experiences with interpersonal and institutional discrimination, identity, transition-related experiences, and basic demographic characteristics (age, race/ethnicity, religion, political party affiliation, marital status, employment, income, location, sex, gender, and education).

The TransPop study is available at https://doi.org/10.3886/ICPSR37938.v1.

This webinar is free and open to the public. A live transcript will be available. The webinar will be recorded, and the recording and slides will be sent to all registrants after the webinar.

Zoom FAQs for Attendees: http://myumi.ch/kx2oo

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Presentation Mon, 12 Jul 2021 17:31:28 -0400 2021-07-22T14:00:00-04:00 2021-07-22T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Promotional image for TransPop data webinar from ICPSR featuring transgender flag on white background
CoderSpaces (Mondays) (July 26, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619097@events.umich.edu Event Begins: Monday, July 26, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-07-26T13:30:00-04:00 2021-07-26T15:00:00-04:00 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 (Tuesdays) (July 27, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619221@events.umich.edu Event Begins: Tuesday, July 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-07-27T14:00:00-04:00 2021-07-27T15:30:00-04:00 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.
Dimensions of Public Attitudes Toward the Affordable Care Act, 2010 through 2017 (July 27, 2021 7:30pm) https://events.umich.edu/event/84699 84699-21624454@events.umich.edu Event Begins: Tuesday, July 27, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30 pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:31:13 -0400 2021-07-27T19:30:00-04:00 2021-07-27T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lectures 2021
Dimensions of Public Attitudes Toward the Affordable Care Act, 2010 through 2017 (July 27, 2021 7:30pm) https://events.umich.edu/event/84752 84752-21624872@events.umich.edu Event Begins: Tuesday, July 27, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Mon, 26 Jul 2021 15:12:05 -0400 2021-07-27T19:30:00-04:00 2021-07-27T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lecture series
CoderSpaces (Wednesdays) (July 28, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619136@events.umich.edu Event Begins: Wednesday, July 28, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-07-28T14:00:00-04:00 2021-07-28T15:30:00-04:00 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.
Analyzing Open-Ended Responses for Understanding Opinions About Presidential Candidates (July 28, 2021 7:30pm) https://events.umich.edu/event/84698 84698-21624453@events.umich.edu Event Begins: Wednesday, July 28, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:28:58 -0400 2021-07-28T19:30:00-04:00 2021-07-28T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Blalock Lecture series 2021
CoderSpaces (Thursdays) (July 29, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619158@events.umich.edu Event Begins: Thursday, July 29, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-07-29T14:00:00-04:00 2021-07-29T15:30:00-04:00 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.
Understanding Network Structures (July 29, 2021 7:30pm) https://events.umich.edu/event/84697 84697-21624452@events.umich.edu Event Begins: Thursday, July 29, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:25:28 -0400 2021-07-29T19:30:00-04:00 2021-07-29T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Blalock Lecture Series 2021
CoderSpaces (Mondays) (August 2, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619098@events.umich.edu Event Begins: Monday, August 2, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-08-02T13:30:00-04:00 2021-08-02T15:00:00-04:00 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.
Harnessing Big Data for Health and Social Science Research (August 3, 2021 12:00pm) https://events.umich.edu/event/84713 84713-21624468@events.umich.edu Event Begins: Tuesday, August 3, 2021 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This lecture will be pre-recorded and available two weeks before this session on the ICPSR Summer Program YouTube channel: https://www.youtube.com/channel/UCgQWgr9Np3SKx54T_0hbo-Q

Please join us for this live Q&A session with the presenter on 8/3/21 at 12pm EDT at https://myumi.ch/ICPSR2021Blalock.

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 13:03:54 -0400 2021-08-03T12:00:00-04:00 2021-08-03T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lecture Series 2021
CoderSpaces (Tuesdays) (August 3, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619222@events.umich.edu Event Begins: Tuesday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-08-03T14:00:00-04:00 2021-08-03T15:30:00-04:00 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) (August 4, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619137@events.umich.edu Event Begins: Wednesday, August 4, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-08-04T14:00:00-04:00 2021-08-04T15:30:00-04:00 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.
The Youth Policy Lab: Partnership Driven Research to Improve the Lives of Young Michiganders (August 4, 2021 7:30pm) https://events.umich.edu/event/84714 84714-21624469@events.umich.edu Event Begins: Wednesday, August 4, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:37:47 -0400 2021-08-04T19:30:00-04:00 2021-08-04T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lecture Series 2021
CoderSpaces (Thursdays) (August 5, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619159@events.umich.edu Event Begins: Thursday, August 5, 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-08-05T14:00:00-04:00 2021-08-05T15:30:00-04:00 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 Collection Methods in the Age of Data Science: Where Are We Headed? (August 5, 2021 7:30pm) https://events.umich.edu/event/84715 84715-21624470@events.umich.edu Event Begins: Thursday, August 5, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:39:39 -0400 2021-08-05T19:30:00-04:00 2021-08-05T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lecture Series 2021
CoderSpaces (Mondays) (August 9, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619099@events.umich.edu Event Begins: Monday, August 9, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-08-09T13:30:00-04:00 2021-08-09T15:00:00-04:00 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 (Tuesdays) (August 10, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619223@events.umich.edu Event Begins: Tuesday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-08-10T14:00:00-04:00 2021-08-10T15:30:00-04:00 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.
Measuring Exposure to News and Political Information in the Digital Age (August 10, 2021 7:30pm) https://events.umich.edu/event/84716 84716-21624471@events.umich.edu Event Begins: Tuesday, August 10, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 12:44:49 -0400 2021-08-10T19:30:00-04:00 2021-08-10T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR Summer Program Blalock Lecture Series 2021
The Post-API Age Reconsidered: Social Media Research in the '20s and Beyond (August 11, 2021 12:30pm) https://events.umich.edu/event/84717 84717-21624472@events.umich.edu Event Begins: Wednesday, August 11, 2021 12:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This lecture will be pre-recorded and available two weeks before this session on the ICPSR Summer Program YouTube channel: https://www.youtube.com/channel/UCgQWgr9Np3SKx54T_0hbo-Q

Please join us for this live Q&A session with the presenter on 8/11/21 at 12pm EDT at https://myumi.ch/ICPSR2021Blalock.

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 13:30:58 -0400 2021-08-11T12:30:00-04:00 2021-08-11T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2021 ICPSR Summer Program Blalock Lecture series
CoderSpaces (Wednesdays) (August 11, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619138@events.umich.edu Event Begins: Wednesday, August 11, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-08-11T14:00:00-04:00 2021-08-11T15:30:00-04:00 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) (August 12, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619160@events.umich.edu Event Begins: Thursday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-08-12T14:00:00-04:00 2021-08-12T15:30:00-04:00 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.
Measuring White Racial Solidarity and Examining its Relationship to Political Attitudes and Preferences (August 12, 2021 7:30pm) https://events.umich.edu/event/84718 84718-21624473@events.umich.edu Event Begins: Thursday, August 12, 2021 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for this Blalock lecture at 7:30pm EDT: https://myumi.ch/ICPSR2021Blalock

The 2021 ICPSR Summer Program Blalock Lectures are virtual, free and open to the public.

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Presentation Thu, 22 Jul 2021 13:29:27 -0400 2021-08-12T19:30:00-04:00 2021-08-12T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2021 ICPSR Summer Program Blalock Lecture series
CoderSpaces (Mondays) (August 16, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619100@events.umich.edu Event Begins: Monday, August 16, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-08-16T13:30:00-04:00 2021-08-16T15:00:00-04:00 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 (Tuesdays) (August 17, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619224@events.umich.edu Event Begins: Tuesday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-08-17T14:00:00-04:00 2021-08-17T15:30:00-04:00 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 (Wednesdays) (August 18, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619139@events.umich.edu Event Begins: Wednesday, August 18, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-08-18T14:00:00-04:00 2021-08-18T15:30:00-04:00 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.
Introduction to Multilevel Models (August 19, 2021 9:00am) https://events.umich.edu/event/84809 84809-21625038@events.umich.edu Event Begins: Thursday, August 19, 2021 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

PDHP resumes our 2021 workshop series on Thursday, August 19th, with a workshop entitled Introduction to Multilevel Models, presented by Dr. Kris Preacher of Vanderbilt University's Quantitative Methods program (within the Department of Psychology and Human Development). This half-day workshop is geared toward data analysts and researchers of all levels, particularly those performing analysis on hierarchically clustered (nested) data using Mplus, R, or SPSS. Attendees will receive an introduction to the key concepts of multilevel models (appropriate settings for their use over standard statistical models, equation conventions, and interpretation), as well as hands-on practice implementing state-of-the-art features of MLM using popular statistical software packages.

Topics include:

• Key concepts and motivation for MLM vs. standard statistical models
• Estimating and plotting interaction effects
• Implications of nested vs. cross-classified mutlilevel data
• Power analysis for MLM using a general Monte Carlo technique

Registration Required

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

Dr. Preacher is a Professor in the Quantitative Methods program and Department of Psychology and Human Development at Vanderbilt University. His research concerns the use (and combination) of structural equation modeling and multilevel modeling to model correlational and longitudinal data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between substantive theory and statistical practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. He serves on the editorial boards of Multivariate Behavioral Research, Behavior Research Methods, Communication Methods and Measures, and Journal of Educational & Behavioral Statistics, and is an associate editor of Psychological Methods.

The Population Dynamics and Health Program (PDHP) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health.

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Workshop / Seminar Thu, 29 Jul 2021 15:55:30 -0400 2021-08-19T09:00:00-04:00 2021-08-19T13:00:00-04:00 Off Campus Location Institute for Social Research Workshop / Seminar Introduction to Multilevel Models poster
CoderSpaces (Thursdays) (August 19, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619161@events.umich.edu Event Begins: Thursday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-08-19T14:00:00-04:00 2021-08-19T15:30:00-04:00 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 (Mondays) (August 23, 2021 1:30pm) https://events.umich.edu/event/83925 83925-21619101@events.umich.edu Event Begins: Monday, August 23, 2021 1:30pm
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, Mondays – Thursdays, during the Summer 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 1:30-3 p.m.

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, high performance computing, 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 Thu, 06 May 2021 12:06:51 -0400 2021-08-23T13:30:00-04:00 2021-08-23T15:00:00-04:00 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 (Tuesdays) (August 24, 2021 2:00pm) https://events.umich.edu/event/83963 83963-21619225@events.umich.edu Event Begins: Tuesday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
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), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: C/C++, CMake/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, 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), text analysis, web applications (front-end HTML/CSS/JavaScript stack), web scraping

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Meeting Wed, 14 Jul 2021 14:12:05 -0400 2021-08-24T14:00:00-04:00 2021-08-24T15:30:00-04:00 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 (Wednesdays) (August 25, 2021 2:00pm) https://events.umich.edu/event/83926 83926-21619140@events.umich.edu Event Begins: Wednesday, August 25, 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, Mondays – Thursdays, during the Summer 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 2-2:30 p.m.
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/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)

Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)

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Meeting Thu, 06 May 2021 12:08:20 -0400 2021-08-25T14:00:00-04:00 2021-08-25T15:30:00-04:00 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) (August 26, 2021 2:00pm) https://events.umich.edu/event/83931 83931-21619162@events.umich.edu Event Begins: Thursday, August 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, Mondays – Thursdays, during the Summer 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 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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Meeting Thu, 06 May 2021 12:08:52 -0400 2021-08-26T14:00:00-04:00 2021-08-26T15:30:00-04:00 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.