Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Contraceptive Access Research and Evaluation (January 27, 2020 12:00pm) https://events.umich.edu/event/71198 71198-17785629@events.umich.edu Event Begins: Monday, January 27, 2020 12:00pm
Location: Institute For Social Research
Organized By: Institute for Social Research

The Michigan Population Studies Center (PSC) presents a panel discussion on contraceptive access research and evaluation, with Martha J. Bailey (UM), Katie Genadek (CU-Boulder, US Census Bureau), Jason Lindo (Texas A&M, NBER, IZA), Vanessa Dalton (UM).

PSC Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

BIOS:

Dr. Bailey's research focuses on issues in labor economics, demography and health in the United States, within the longer-run perspective of economic history. Her research has examined the implications of the diffusion of modern contraception for women's childbearing, career decisions, and the convergence in the gender gap. Her most recent projects focus on evaluating the shorter and longer-term effects of Great Society programs, including a recently published book (co-edited with Sheldon Danziger) on the legacies of the War on Poverty. Bailey is an NBER Faculty Research Fellow and in 2007 was an RWJ Health Policy Research Scholar.

Dr. Genadek's research is focused on the relationship between work and family and policy impacts on women's labor supply and household labor. She has ongoing work in areas of couples' time spent together, workplace flexibility, and women's work in a historical context. She is currently analyzing the effects of the Colorado Family Planning Initiative with a team of scholars in Colorado.

Dr. Lindo's recent and ongoing work is especially focused on documenting the effects of changes in access to reproductive healthcare. This work includes an evaluation of the Colorado Family Planning Initiative and an evaluation of the abortion clinic closures precipitated by Texas HB-2, which were at the center of the US Supreme Court case, Whole Women's Health v. Hellerstedt.

Dr. Dalton's research interests include family planning and contraception, access to care, healthcare utilization, and human rights. She is Associate Chair of Research in U-M's Department of Obstetrics and Gynecology, the director of the Program on Women's Health Care Effectiveness Research (PWHER), and Co-Director of the Ryan Residency Training Program.



Michigan's Population Studies Center, established in 1961, has a rich history as an interdisciplinary community of scholars in population research and training. PSC is part of the Institute for Social Research (ISR).

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Presentation Thu, 23 Jan 2020 11:12:14 -0500 2020-01-27T12:00:00-05:00 2020-01-27T13:31:00-05:00 Institute For Social Research Institute for Social Research Presentation contraceptive pills
CoderSpace with Paul Schulz and Chen Chen (January 28, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853482@events.umich.edu Event Begins: Tuesday, January 28, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-01-28T10:00:00-05:00 2020-01-28T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Necessary Tension: Promoting Data Access While Protecting Privacy (January 28, 2020 1:00pm) https://events.umich.edu/event/70691 70691-17619577@events.umich.edu Event Begins: Tuesday, January 28, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

On Data Privacy Day, join us for a discussion of ICPSR's vision for protecting privacy - of research respondents, researchers, and institutions - while broadening access to myriad data types. We'll discuss ICPSR's current and upcoming projects aimed at developing integrated systems and policies to roll with the quickly evolving world of data access and privacy.

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Presentation Fri, 20 Dec 2019 13:34:05 -0500 2020-01-28T13:00:00-05:00 2020-01-28T14:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Webinar announcement for "Necessary Tension," a Data Privacy Day webinar from ICPSR
Privacy@Michigan 2020 (January 28, 2020 1:00pm) https://events.umich.edu/event/71094 71094-17777056@events.umich.edu Event Begins: Tuesday, January 28, 2020 1:00pm
Location: Rackham Graduate School (Horace H.)
Organized By: Information and Technology Services (ITS)

Register to attend the Privacy@Michigan Symposium and Research Showcase Tuesday, January 28, 1 p.m. – 6:00 p.m. in the Rackham Amphitheatre (4th floor) and celebrate the 2020 International Data Privacy Day. Attendance is free and open to the public but space is limited. Please RSVP.

For a schedule of events and to register visit: https://safecomputing.umich.edu/events/privacy-at-michigan/2020

Kathleen Kingsbury, editor of The New York Times Privacy Project, will give the keynote address. Multi-disciplinary experts will participate in panel discussions on a range of privacy-related topics. A privacy fair including a privacy clinic, where students help with general privacy questions, and posters showcasing privacy research at the University of Michigan will be available throughout the afternoon.

This event organized by the University of Michigan School of Information, University of Michigan Information Assurance, and the Dissonance Event Series.

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Conference / Symposium Fri, 10 Jan 2020 13:49:19 -0500 2020-01-28T13:00:00-05:00 2020-01-28T18:30:00-05:00 Rackham Graduate School (Horace H.) Information and Technology Services (ITS) Conference / Symposium Privacy@Michigan Symposium - Keynote Speaker: Kathleen Kingsbury
Webinar: An Overview of the 2020 ICPSR Summer Program (January 28, 2020 2:00pm) https://events.umich.edu/event/69798 69798-17425670@events.umich.edu Event Begins: Tuesday, January 28, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Founded in 1963, the ICPSR Summer Program offers rigorous, hands-on training in statistics, quantitative methods, and data analysis for students, faculty, and researchers of all skill levels and backgrounds. Participants in the ICPSR Summer Program learn how to understand data and gain valuable research skills that help them to advance their education and careers. The ICPSR Summer Program is world-renowned for its premier quality of instruction, fun learning environment, and unparalleled networking opportunities.

From May through August 2020, the ICPSR Summer Program will offer more than 80 courses in Ann Arbor, Michigan and other cities around the world. Registration for all courses will open on Tuesday, February 11, 2020.

In this live webinar, Summer Program staff will discuss this year’s courses, scholarship opportunities, registration, visitor information, and more. The presentation will be followed by a Q&A session. This webinar is open to anyone interested in learning more about the ICPSR Summer Program, including students, faculty, advisors, researchers, and ICPSR ORs and DRs.

Can’t attend the live webinar? Not a problem! Registrants will receive a link to a recording of the webinar after it is over.

Questions? Visit www.icpsr.umich.edu/sumprog or contact sumprog@icpsr.umich.edu or (734) 763-7400.

The webinar is free and open to the public.

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Presentation Tue, 26 Nov 2019 14:48:03 -0500 2020-01-28T14:00:00-05:00 2020-01-28T15:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement for the overview of the ICPSR Summer Program 2020 webinar
CoderSpace with Armand Burks and Erin Ware (January 29, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853496@events.umich.edu Event Begins: Wednesday, January 29, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-01-29T10:00:00-05:00 2020-01-29T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
French and German Data: New Opportunities for Comparative Cross-Country Research (January 29, 2020 11:00am) https://events.umich.edu/event/70969 70969-17760242@events.umich.edu Event Begins: Wednesday, January 29, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Access to the French confidential microdata is now in part open for North America; a secure remote access to these data has been implemented at the ICPSR enclave where researchers can access these data in addition to German data. In this webinar, we explain which datasets are available and how researchers can gain access to these rich resources. Moreover, the German Research Data Centre (FDZ) of the German Federal Employment Agency at the Institute for Employment Research (IAB) and the French Research Data Center “Centre d‘Accès Sécurisé aux Données” (CASD), in close collaboration, have evaluated cross-country comparability of data from both parts including data covering labor market issues and some other topics. As a result of this collaboration, presenters Marie-Christine Laible and Maria Alkhoury will point out the opportunities for cross-country research, and reveal a comparison of one example of similar data in depth.

Dr. Marie-Christine Laible is a researcher at the Institute for Employment Research (IAB) in Nuremberg, Germany. As a researcher at the Research Data Center (FDZ) of the Federal Employment Agency at the IAB, she works with complex administrative and survey data.

Maria Alkhoury is a political science graduate. She recently joined the French research Data Center “Centre d’accès sécurisé aux données.” As a CASD Data Manager, she guides researchers in their application procedure to access French data and controls the statistical confidentiality of the result they wish to publish.

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Presentation Mon, 06 Jan 2020 16:20:10 -0500 2020-01-29T11:00:00-05:00 2020-01-29T12:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Webinar announcement for French and German Data: New Opportunities for Comparative Cross-Country Research at ICPSR
CoderSpace with Yuki Shiraito and Jule Krüger (January 30, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853510@events.umich.edu Event Begins: Thursday, January 30, 2020 4:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.

Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.

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Workshop / Seminar Tue, 21 Jan 2020 14:43:44 -0500 2020-01-30T16:30:00-05:00 2020-01-30T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Paul Schulz and Chen Chen (February 4, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853483@events.umich.edu Event Begins: Tuesday, February 4, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-02-04T10:00:00-05:00 2020-02-04T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Armand Burks and Erin Ware (February 5, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853497@events.umich.edu Event Begins: Wednesday, February 5, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-02-05T10:00:00-05:00 2020-02-05T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Yuki Shiraito and Jule Krüger (February 6, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853511@events.umich.edu Event Begins: Thursday, February 6, 2020 4:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.

Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.

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Workshop / Seminar Tue, 21 Jan 2020 14:43:44 -0500 2020-02-06T16:30:00-05:00 2020-02-06T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Love Data Week 2020 with ICPSR (February 10, 2020 9:00am) https://events.umich.edu/event/72635 72635-18033409@events.umich.edu Event Begins: Monday, February 10, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ICPSR has some great opportunities for you to get involved in 2020 Love Data Week (Feb. 10-14)! First, "Adopt a Dataset (http://myumi.ch/Pl05D)" is back by popular demand! In addition, #LoveData20, an international event, is focusing on working with students to help them get to know the data specialists at their institution, the kinds of work they do, and the data and associated issues that these data specialists engage with. See ICPSR's #LoveData20 hub (http://bit.ly/LDW2020) for more information, and also follow us on Twitter @ICPSR!

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Other Fri, 07 Feb 2020 11:13:49 -0500 2020-02-10T09:00:00-05:00 2020-02-10T17:00:00-05:00 Off Campus Location Institute for Social Research Other Love Data Week at ICPSR is February 10-14, 2020
Love Data Week 2020 with ICPSR (February 11, 2020 9:00am) https://events.umich.edu/event/72635 72635-18033410@events.umich.edu Event Begins: Tuesday, February 11, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ICPSR has some great opportunities for you to get involved in 2020 Love Data Week (Feb. 10-14)! First, "Adopt a Dataset (http://myumi.ch/Pl05D)" is back by popular demand! In addition, #LoveData20, an international event, is focusing on working with students to help them get to know the data specialists at their institution, the kinds of work they do, and the data and associated issues that these data specialists engage with. See ICPSR's #LoveData20 hub (http://bit.ly/LDW2020) for more information, and also follow us on Twitter @ICPSR!

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Other Fri, 07 Feb 2020 11:13:49 -0500 2020-02-11T09:00:00-05:00 2020-02-11T17:00:00-05:00 Off Campus Location Institute for Social Research Other Love Data Week at ICPSR is February 10-14, 2020
CoderSpace with Paul Schulz and Chen Chen (February 11, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853484@events.umich.edu Event Begins: Tuesday, February 11, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-02-11T10:00:00-05:00 2020-02-11T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Love Data Week 2020 with ICPSR (February 12, 2020 9:00am) https://events.umich.edu/event/72635 72635-18033411@events.umich.edu Event Begins: Wednesday, February 12, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ICPSR has some great opportunities for you to get involved in 2020 Love Data Week (Feb. 10-14)! First, "Adopt a Dataset (http://myumi.ch/Pl05D)" is back by popular demand! In addition, #LoveData20, an international event, is focusing on working with students to help them get to know the data specialists at their institution, the kinds of work they do, and the data and associated issues that these data specialists engage with. See ICPSR's #LoveData20 hub (http://bit.ly/LDW2020) for more information, and also follow us on Twitter @ICPSR!

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Other Fri, 07 Feb 2020 11:13:49 -0500 2020-02-12T09:00:00-05:00 2020-02-12T17:00:00-05:00 Off Campus Location Institute for Social Research Other Love Data Week at ICPSR is February 10-14, 2020
CoderSpace with Armand Burks and Erin Ware (February 12, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853498@events.umich.edu Event Begins: Wednesday, February 12, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-02-12T10:00:00-05:00 2020-02-12T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Love Data Week 2020 with ICPSR (February 13, 2020 9:00am) https://events.umich.edu/event/72635 72635-18033412@events.umich.edu Event Begins: Thursday, February 13, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ICPSR has some great opportunities for you to get involved in 2020 Love Data Week (Feb. 10-14)! First, "Adopt a Dataset (http://myumi.ch/Pl05D)" is back by popular demand! In addition, #LoveData20, an international event, is focusing on working with students to help them get to know the data specialists at their institution, the kinds of work they do, and the data and associated issues that these data specialists engage with. See ICPSR's #LoveData20 hub (http://bit.ly/LDW2020) for more information, and also follow us on Twitter @ICPSR!

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Other Fri, 07 Feb 2020 11:13:49 -0500 2020-02-13T09:00:00-05:00 2020-02-13T17:00:00-05:00 Off Campus Location Institute for Social Research Other Love Data Week at ICPSR is February 10-14, 2020
CoderSpace with Yuki Shiraito and Jule Krüger (February 13, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853512@events.umich.edu Event Begins: Thursday, February 13, 2020 4:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.

Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.

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Workshop / Seminar Tue, 21 Jan 2020 14:43:44 -0500 2020-02-13T16:30:00-05:00 2020-02-13T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Love Data Week 2020 with ICPSR (February 14, 2020 9:00am) https://events.umich.edu/event/72635 72635-18033413@events.umich.edu Event Begins: Friday, February 14, 2020 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ICPSR has some great opportunities for you to get involved in 2020 Love Data Week (Feb. 10-14)! First, "Adopt a Dataset (http://myumi.ch/Pl05D)" is back by popular demand! In addition, #LoveData20, an international event, is focusing on working with students to help them get to know the data specialists at their institution, the kinds of work they do, and the data and associated issues that these data specialists engage with. See ICPSR's #LoveData20 hub (http://bit.ly/LDW2020) for more information, and also follow us on Twitter @ICPSR!

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Other Fri, 07 Feb 2020 11:13:49 -0500 2020-02-14T09:00:00-05:00 2020-02-14T17:00:00-05:00 Off Campus Location Institute for Social Research Other Love Data Week at ICPSR is February 10-14, 2020
CoderSpace with Paul Schulz and Chen Chen (February 18, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853485@events.umich.edu Event Begins: Tuesday, February 18, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-02-18T10:00:00-05:00 2020-02-18T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Armand Burks and Erin Ware (February 19, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853499@events.umich.edu Event Begins: Wednesday, February 19, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-02-19T10:00:00-05:00 2020-02-19T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
The Summer Institute: ISR's deep dive in Survey Research Techniques & Big Data (February 19, 2020 11:30am) https://events.umich.edu/event/72598 72598-18024701@events.umich.edu Event Begins: Wednesday, February 19, 2020 11:30am
Location: Institute For Social Research
Organized By: Institute for Social Research

Take an hour dive into ISR's Summer Institute in Survey Research Techniques (SISRT). With our Faculty, you'll learn about:

- Big Data and Survey Data enhancement and intersection
- Continuing education to strengthen skill sets
- SISRT's long history & evolution
- Training opportunities & investment
- Distinction between SISRT and the ICPSR Summer Program

Now in its 73rd year, The Summer Institute in Survey Research Techniques is a training program offered by the Survey Research Center at ISR providing summer courses in data collection, survey design and sampling methods to an international audience of research professionals and students from a variety of quantitative disciplines. Anyone who is interested in the survey research process can benefit from taking courses in the Summer Institute.

Presented by ISR Perspectives Committee in the Getting to Know ISR series.

Refreshments provided.

BLUEJEANS VIDEO ARCHIVE:
https://bluejeans.com/s/rZ0fP



SPEAKER BIOS:

BRADY T. WEST's research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, survey nonresponse, interviewer effects, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures "Linear Mixed Models: A Practical Guide using Statistical Software", and he is a co-author of a second book entitled "Applied Survey Data Analysis."

JAMES LEPKOWSKI received a PhD in biostatistics from the University of Michigan. His current research interests involve the development of survey data collection and analysis methods, including the design of telephone samples for households in the U.S.; the behavior of analytic statistics when data are obtained from complex sample surveys; imputation methods to compensate for item missing data in surveys; weighting to compensate for unit nonresponse; and the interaction between interviewer and respondent in the survey interview.

RAPHAEL NISHIMURA is the Director of Sampling Operations of the Survey Research Operations (SRO) within the Survey Research Center (SRC) at the University of Michigan Institute for Social Research (ISR). He holds a PhD in Survey Methodology from the University of Michigan and a Bachelor's degree in Statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs.

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Presentation Thu, 20 Feb 2020 14:07:41 -0500 2020-02-19T11:30:00-05:00 2020-02-19T13:00:00-05:00 Institute For Social Research Institute for Social Research Presentation Summer Institute poster
CoderSpace with Yuki Shiraito and Jule Krüger (February 20, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853513@events.umich.edu Event Begins: Thursday, February 20, 2020 4:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.

Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.

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Workshop / Seminar Tue, 21 Jan 2020 14:43:44 -0500 2020-02-20T16:30:00-05:00 2020-02-20T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Evidence-Based Data Visualization (February 21, 2020 9:00am) https://events.umich.edu/event/72152 72152-17946490@events.umich.edu Event Begins: Friday, February 21, 2020 9:00am
Location: Institute For Social Research
Organized By: Institute for Social Research

PDHP kicks off our 2020 workshop series on Feb. 21st, with a workshop entitled Evidence-Based Data Visualization, presented by Dr. Audrey Michal of the Michigan Department of Psychology. This half-day workshop will provide a general introduction to data visualization techniques, while introducing a unique evidence-based approach to data viz design (based on Dr. Michal's research on visual routines in graph comprehension and interpretation), and different data visualization strategies for data exploration versus data explanation. Attendees will also get hands-on practice creating different types of data visualizations with R software, using GGPlot2 and other state-of-the-art R packages. As always, this workshop is free and open to the public.

Topics include:

• Introduction to data visualization and principles of data viz design
• Evidence-based practices for data viz (from Dr. Michal's research on graph interpretation)
• Data viz strategies for data exploration vs. explanation
• Hands-on practice creating different types of data visualizations using R's GGPlot2 package.

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

Dr Michal's current work focuses on developing and testing various learning interventions to teach middle and high school students scientific reasoning skills, such as how to critically evaluate evidence in science media reports.

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.

PDHP is part of the Population Studies Center at the Institute for Social Research. Its faculty affiliates include population scientists from a diverse range of academic disciplines and departments.

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Workshop / Seminar Thu, 13 Feb 2020 14:15:53 -0500 2020-02-21T09:00:00-05:00 2020-02-21T13:00:00-05:00 Institute For Social Research Institute for Social Research Workshop / Seminar event poster
Introduction to Machine Learning Workshop (February 24, 2020 2:30pm) https://events.umich.edu/event/73088 73088-18140500@events.umich.edu Event Begins: Monday, February 24, 2020 2:30pm
Location:
Organized By: School of Information

A 1.5-hour workshop to introduce you to machine learning. Snacks included!

Location: UMSI Engaged Learning Office
777 N University Ave. Ann Arbor, MI 48104
(above Panera Bread)

Sign-up: https://docs.google.com/forms/d/e/1FAIpQLSdevNGe2sXqZL-iP0WY0h8m-tfN4CuxK-TQNdwexjeDeX7p9w/viewform

Bring your laptops or other computing devices.

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Workshop / Seminar Wed, 19 Feb 2020 14:13:05 -0500 2020-02-24T14:30:00-05:00 2020-02-24T16:00:00-05:00 School of Information Workshop / Seminar LED-Keyboard
CoderSpace with Paul Schulz and Chen Chen (February 25, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853486@events.umich.edu Event Begins: Tuesday, February 25, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-02-25T10:00:00-05:00 2020-02-25T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
Building an Interdisciplinary Science on Cultural & Structural Racism (February 26, 2020 10:00am) https://events.umich.edu/event/70972 70972-17760245@events.umich.edu Event Begins: Wednesday, February 26, 2020 10:00am
Location: Institute For Social Research
Organized By: Institute for Social Research

Interdisciplinary Science on Cultural & Structural Racism
Wednesday, February 26
10am - 6pm
ISR-Thompson 1430

Morning Session
10am - 12:00pm
Creating Diverse, Joyful, and Productive Working Groups

Working Group Lunches
12:30pm - 1:30pm

Afternoon Session
2pm - 4:30pm
Building an Interdisciplinary Science on Racism

Poster Session
4:30pm - 6pm

RacismLab invites you to join in celebrating its five-year anniversary, in conjunction with University-wide MLK 2020 programming, for the 2020 RacismLab Symposium and concurrent Poster Session on Wednesday, February 26.

NETWORKING LUNCH FOR POST-DOCS and FACULTY:
Early-career scholars (i.e., postdocs and assistant professors) are invited to sign up for the networking lunch during the symposium. The networking lunch, led by Dr. Debbie Rivas-Drake, will explore strategies for creating diverse, joyful, and productive research groups. For more information and to sign up for a working lunch roundtable: https://docs.google.com/forms/d/e/1FAIpQLSemIZfoohv6CHmg99EFgXlSEvfSQYmAJ4cvUUaVsy80hBCp7g/viewform

If you have any questions or require an accommodation to participate in this event, please contact Anna Massey at abeattie@umich.edu.

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Conference / Symposium Thu, 20 Feb 2020 15:38:30 -0500 2020-02-26T10:00:00-05:00 2020-02-26T18:00:00-05:00 Institute For Social Research Institute for Social Research Conference / Symposium event flyer
CoderSpace with Armand Burks and Erin Ware (February 26, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853500@events.umich.edu Event Begins: Wednesday, February 26, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-02-26T10:00:00-05:00 2020-02-26T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Yuki Shiraito and Jule Krüger (February 27, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853514@events.umich.edu Event Begins: Thursday, February 27, 2020 4:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.

Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.

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Workshop / Seminar Tue, 21 Jan 2020 14:43:44 -0500 2020-02-27T16:30:00-05:00 2020-02-27T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Paul Schulz and Chen Chen (March 3, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853487@events.umich.edu Event Begins: Tuesday, March 3, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-03-03T10:00:00-05:00 2020-03-03T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Armand Burks and Erin Ware (March 4, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853501@events.umich.edu Event Begins: Wednesday, March 4, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-03-04T10:00:00-05:00 2020-03-04T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Paul Schulz and Chen Chen (March 10, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853488@events.umich.edu Event Begins: Tuesday, March 10, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modeling, sampling (including weight creation and adjustment, and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general-purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:01 -0500 2020-03-10T10:00:00-04:00 2020-03-10T11:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
The Midlife in the United States (MIDUS) Study (March 10, 2020 2:00pm) https://events.umich.edu/event/73095 73095-18140512@events.umich.edu Event Begins: Tuesday, March 10, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

MIDUS is a U.S. national, longitudinal study which focuses on the role of psychological, social, and biological factors in accounting for age-related variations in health and well-being among two national samples of Americans.

The MIDUS data are available through NACDA (the data archive on aging populations), part of ICPSR. MIDUS and NACDA are both funded by the National Institute on Aging. MIDUS is the most frequently downloaded dataset from NACDA, and one of the most frequently downloaded data series from ICPSR.

This free webinar provides an overview of the MIDUS data series we have archived within NACDA and will guide users on how to discover MIDUS resources, as well as highlight the research potential of this multi-scope, longitudinal collection. A substantial portion of the talk will demonstrate how Data Documentation Initiative (DDI) tools have enabled MIDUS to adhere to FAIR (findable, accessible, interoperable, reproducible) principals.

This webinar will feature:
- A presentation about MIDUS (background and general use) directly from researcher and Co-PI, Dr. Barry Radler from the University of Wisconsin-Madison
- How to access MIDUS data from NACDA, both public and restricted data versions
- Information about the MIDUS Colectica Portal

Participants will also have the opportunity to provide feedback and ask questions.
This webinar is free and open to the public.

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Presentation Wed, 19 Feb 2020 17:30:16 -0500 2020-03-10T14:00:00-04:00 2020-03-10T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Webinar announcement for MIDUS data presentation March 2020
CoderSpace with Armand Burks and Erin Ware (March 11, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853502@events.umich.edu Event Begins: Wednesday, March 11, 2020 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!

Dr. Burks is a Research Data Scientist in Advanced Research Computing Technology Services (ARC-TS) and the School of Information. He specializes in evolutionary computation (genetic programming), and has professional experience in software development and writing cloud analytics. Dr. Burks is available to assist in general programming using C++, Java, and Python, bash commands/scripting, automation of tasks such as data parsing, transformation/conversion, workflow automation, etc., HPC job creation/submission, version control in git, and other related topics.

Dr. Ware is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR, a self-taught HPC user, and an occasional instructor in the School of Information. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on GreatLakes, MBNI, and other personal servers), and batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling), introductory statistics using R, and math methods for data scientists. She is experienced in teaching high performance computing to individuals with limited programming background.

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Workshop / Seminar Tue, 21 Jan 2020 14:45:45 -0500 2020-03-11T10:00:00-04:00 2020-03-11T11:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CANCELED Wallace House Presents Recode’s Kara Swisher interviews former Facebook executive Alex Stamos (March 18, 2020 6:30pm) https://events.umich.edu/event/70104 70104-17530521@events.umich.edu Event Begins: Wednesday, March 18, 2020 6:30pm
Location: Hill Auditorium
Organized By: Wallace House Center for Journalists

THIS EVENT HAS BEEN CANCELED.

Google, Amazon, Facebook, Apple. A handful of tech companies have changed the way we live and built unprecedented industrial bases in the process. Their reach extends far beyond our pocketbooks into privacy, individual liberties, and the fabric of our democracy.

In August 2018, Facebook’s chief security officer Alex Stamos announced he would leave the company following reports of disagreements with other executives over how to address the Russian government’s use of Facebook to interfere with the 2016 U.S. presidential election. Since his departure he’s advocated for the breakup of the tech giant and co-authored the white paper “Securing American Elections: Prescriptions for Enhancing the Integrity and Independence of the 2020 U.S. Presidential Elections and Beyond.”

Do we really understand what we are giving away in exchange for speed and convenience? Do the tech giants understand, or care about, their responsibility in this digital age that they created?

Alex Stamos is the former chief security officer at Facebook and is now director of the Stanford Cyber Policy Center’s Internet Observatory at Stanford University.

Kara Swisher is the co-founder and executive editor of Recode and host of the weekly interview podcast “Recode Decode.” She is also the co-executive editor of Code Conferences, which feature prominent speakers from the digital industry. She is a regular contributor to The New York Times opinion pages and a Livingston Awards national judge.

This event is co-sponsored by Computer Science and Engineering, the College of Engineering, the Center for Social Media Responsibility, ITS and Dissonance at the University of Michigan and Duo Security.

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Lecture / Discussion Tue, 10 Mar 2020 17:39:05 -0400 2020-03-18T18:30:00-04:00 2020-03-18T20:00:00-04:00 Hill Auditorium Wallace House Center for Journalists Lecture / Discussion Kara Swisher and Alex Stamos
Help, I'm teaching remotely! (March 19, 2020 1:00pm) https://events.umich.edu/event/73871 73871-18375549@events.umich.edu Event Begins: Thursday, March 19, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Learn about the online resources available for teaching, learning and more with ICPSR. We'll talk about Data Driven Learning Guides, pre-recorded presentations, live presentations by request, online data analysis, and much more, as well as resources from the broad ICPSR data community.

This webinar is free and open to the public.

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Livestream / Virtual Tue, 17 Mar 2020 16:30:13 -0400 2020-03-19T13:00:00-04:00 2020-03-19T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Livestream / Virtual Webinar announcement for online resources from ICPSR
Harnessing the Geospatial Components in Social Science Research Data (March 20, 2020 2:00pm) https://events.umich.edu/event/73699 73699-18298296@events.umich.edu Event Begins: Friday, March 20, 2020 2:00pm
Location: Off Campus Location
Organized By: ICPSR at the University of Michigan Institute for Social Research

In this webinar, co-organized by the American Association of Geographers (AAG) and The Inter-university Consortium for Political and Social Research (ICPSR), we will take a look at ICPSR’s data archive from a “geospatial” perspective. This webinar is free and open to anyone interested in accessing data or services related to social science research and/or wants to learn more about geospatial aspects of these data.

The webinar will consist of an overview of AAG and ICPSR, followed by a demo on different ways of searching for geography-related data in ICPSR’s archive and a few examples of data containing geospatial identifiers. Finally, a short overview of other scholarly services at ICPSR will be provided, such as the development of ICPSR’s geospatial virtual data enclave (GVDE) infrastructure, leadership and training for the social science research community in data access, curation, methods of research data analysis, and guidance to members about managing their data responsibly and ethically to support research.

Presenters: Bing She (ICPSR), Coline Dony (AAG), and Stuart Hutchings (ICPSR) will take any questions from attendees related to searching and accessing ICPSR data as well as questions on how to harness the geospatial component in these research data. If you are interested to read more details about the AAG or ICPSR’s, and their data archive, we recommend this recent AAG Newsletter article: http://news.aag.org/2019/12/icpsr-provides-access-to-carefully-curated-geography-related-data/

This virtual workshop will also be offered at the Annual Meeting of the AAG in Denver, more info at this link: http://myumi.ch/518WB

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Livestream / Virtual Tue, 17 Mar 2020 16:39:22 -0400 2020-03-20T14:00:00-04:00 2020-03-20T15:00:00-04:00 Off Campus Location ICPSR at the University of Michigan Institute for Social Research Livestream / Virtual Webinar alert: Webinar alert: "Harnessing the Geospatial Components in Social Science Research Data," March 20, 2020, 2 PM EDT
DANG! Meeting [Virtual] (March 23, 2020 4:00pm) https://events.umich.edu/event/73878 73878-18377660@events.umich.edu Event Begins: Monday, March 23, 2020 4:00pm
Location: Off Campus Location
Organized By: Data Analysis Networking Group

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

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-03-23T16:00:00-04:00 2020-03-23T17:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
Data Visualization With 3D Graphics Using Unity3D and C# (March 30, 2020 1:00pm) https://events.umich.edu/event/73884 73884-18390266@events.umich.edu Event Begins: Monday, March 30, 2020 1:00pm
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Video game development is more accessible than ever before thanks to modern software tools, with many options free to download. These tools are also used to program more “serious” applications that require interactive 3D graphics, from mobile apps, virtual and augmented reality, computer vision and artificial intelligence, and real-time CGI film production.

Unity3D is a powerful and popular game engine for both hobbyist and professional projects, able to compile a ‘game’ to almost any computer platform, and free to download for non-commercial use. This workshop will show how you can use it to render data from research projects in a 3D interactive representation for user analysis and demonstration.

In this workshop, we introduce the Unity3D workspace, and prepare a demo that allows the user to load an example dataset and view it as a simple set of 3D representations. A basic familiarity with any computer programming language (C# will be used during the session) is recommended to get the most out of the workshop. To take part, users will be responsible to bring their own laptop with Unity3D (available for Windows, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date.

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Workshop / Seminar Thu, 19 Mar 2020 09:41:32 -0400 2020-03-30T13:00:00-04:00 2020-03-30T16:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Workshop / Seminar Rackham Graduate School (Horace H.)
Webinar: Maximizing Research Impact with The National Addiction & HIV Data Archive Program (NAHDAP) (March 31, 2020 1:00pm) https://events.umich.edu/event/73839 73839-18339521@events.umich.edu Event Begins: Tuesday, March 31, 2020 1:00pm
Location: Off Campus Location
Organized By: ICPSR at the University of Michigan Institute for Social Research

This webinar applies to all researchers, including grads and postdocs who are currently or planning to collect data for research on drug use, alcohol, addiction, HIV, tobacco, and other related topics. This presentation offers a nice overview of how NAHDAP and ICPSR can help to support research and maximize the impact that researchers' data can have on their community. Also, this webinar will give an overview of how you can share your data with the archive, using ICPSR’s deposit system.

The National Addiction & HIV Data Archive Program (NAHDAP) has over 500 studies on its website that cover topics related to drug use, alcohol, addiction, HIV, tobacco, and more.

We will discuss why it is important to archive and share research, describe how to prepare data for deposit, and walk through how to submit your data and documentation with NAHDAP. The webinar will also cover the benefits of depositing data with ICPSR, including long-term preservation, curation, worldwide dissemination, bibliographic citations, and usage information.

Presenter: Amy Mehraban Pienta is a Research Scientist at ICPSR. She is also a research affiliate of the University of Michigan Center on the Demography of Aging and the Population Studies Center at the University of Michigan. At ICPSR, she oversees collection development and directs several large data archiving projects. Pienta has studied women's retirement behavior, the joint retirement behavior of married couples, and the relationship between various social statuses and health. She directs the National Addiction and HIV Data Archive Program funded by NIDA and the Archive of Disability Data to Enable Policy research funded by NIH.

To register: http://myumi.ch/wly7k

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Livestream / Virtual Thu, 26 Mar 2020 11:31:36 -0400 2020-03-31T13:00:00-04:00 2020-03-31T14:00:00-04:00 Off Campus Location ICPSR at the University of Michigan Institute for Social Research Livestream / Virtual This data resource webinar will be 1 pm EDT on March 31, 2020.
A Data Scientist Plays Games (April 3, 2020 3:00pm) https://events.umich.edu/event/74087 74087-18518836@events.umich.edu Event Begins: Friday, April 3, 2020 3:00pm
Location:
Organized By: Michigan Institute for Data Science

This event will be hosted online via Zoom

A Data Scientist Plays Games:  This is a presentation broken down into two parts.  The first is how to use mathematical techniques to analyze classic card and board games, and the second part is how data science techniques were applied in real life to support games on the Facebook platform.  This presentation is about 1.5 hours, with a target audience probably suited to CS/software engineering.  It’s light-hearted and fun.

Nick Berry, a native of the UK, has lived in Seattle for the last 25 years. He was educated as a rocket scientist and aircraft designer, graduating with a Masters Degree in Aeronautical and Astronautical Engineering.

Upon graduation, he joined a group of friends to form a software company, specializing in electronic mapping and route planning. This company was grown organically, and earned an unprecedented number of awards and accolades, including the British Design Award and The Queen’s Award for Technology, presented by Her Majesty in 1991. In 1994 Nick was recognized by the Sunday Times Magazine as “One of the top 50 entrepreneurs of the decade”. In 1994, after the company had grown to 50 people worldwide, it was sold to Microsoft.

Nick moved to America with the sale and spent 14 years working for Microsoft, the last ten of which were in the Microsoft Casual Game team. During his tenure, he filed a variety of patents for Microsoft, and represented Microsoft at various conferences and speaking engagements.

After leaving Microsoft, he joined RealNetworks to work as the GM of customer analytics for their games division, GameHouse.

After GameHouse, Nick spent five years as a Data Scientist, working for Facebook in their Seattle office.

In addition to his engineering expertise, Nick is passionate about data privacy and holds a CIPP qualification from the International Association of Privacy Professionals. He is an active member of the privacy community and speaks at various events about the legal and ethical aspects of data collection, use, and destruction.

In July 2013, Nick gave a TEDx talk about Passwords and the Internet, and in 2015 was nominated by GeekWire as Geek-of-the-week. In 2019 he was recognized as one of the 50 over 50 in the video games industry.

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Workshop / Seminar Mon, 06 Apr 2020 11:11:49 -0400 2020-04-03T15:00:00-04:00 2020-04-03T16:00:00-04:00 Michigan Institute for Data Science Workshop / Seminar Nick Berry
A Data Scientist Plays Games (April 3, 2020 3:00pm) https://events.umich.edu/event/74087 74087-18518837@events.umich.edu Event Begins: Friday, April 3, 2020 3:00pm
Location:
Organized By: Michigan Institute for Data Science

This event will be hosted online via Zoom

A Data Scientist Plays Games:  This is a presentation broken down into two parts.  The first is how to use mathematical techniques to analyze classic card and board games, and the second part is how data science techniques were applied in real life to support games on the Facebook platform.  This presentation is about 1.5 hours, with a target audience probably suited to CS/software engineering.  It’s light-hearted and fun.

Nick Berry, a native of the UK, has lived in Seattle for the last 25 years. He was educated as a rocket scientist and aircraft designer, graduating with a Masters Degree in Aeronautical and Astronautical Engineering.

Upon graduation, he joined a group of friends to form a software company, specializing in electronic mapping and route planning. This company was grown organically, and earned an unprecedented number of awards and accolades, including the British Design Award and The Queen’s Award for Technology, presented by Her Majesty in 1991. In 1994 Nick was recognized by the Sunday Times Magazine as “One of the top 50 entrepreneurs of the decade”. In 1994, after the company had grown to 50 people worldwide, it was sold to Microsoft.

Nick moved to America with the sale and spent 14 years working for Microsoft, the last ten of which were in the Microsoft Casual Game team. During his tenure, he filed a variety of patents for Microsoft, and represented Microsoft at various conferences and speaking engagements.

After leaving Microsoft, he joined RealNetworks to work as the GM of customer analytics for their games division, GameHouse.

After GameHouse, Nick spent five years as a Data Scientist, working for Facebook in their Seattle office.

In addition to his engineering expertise, Nick is passionate about data privacy and holds a CIPP qualification from the International Association of Privacy Professionals. He is an active member of the privacy community and speaks at various events about the legal and ethical aspects of data collection, use, and destruction.

In July 2013, Nick gave a TEDx talk about Passwords and the Internet, and in 2015 was nominated by GeekWire as Geek-of-the-week. In 2019 he was recognized as one of the 50 over 50 in the video games industry.

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Workshop / Seminar Mon, 06 Apr 2020 11:11:49 -0400 2020-04-03T15:00:00-04:00 2020-04-03T16:00:00-04:00 Michigan Institute for Data Science Workshop / Seminar Nick Berry
A Data Scientist Plays Games (April 3, 2020 3:00pm) https://events.umich.edu/event/74087 74087-18518838@events.umich.edu Event Begins: Friday, April 3, 2020 3:00pm
Location:
Organized By: Michigan Institute for Data Science

This event will be hosted online via Zoom

A Data Scientist Plays Games:  This is a presentation broken down into two parts.  The first is how to use mathematical techniques to analyze classic card and board games, and the second part is how data science techniques were applied in real life to support games on the Facebook platform.  This presentation is about 1.5 hours, with a target audience probably suited to CS/software engineering.  It’s light-hearted and fun.

Nick Berry, a native of the UK, has lived in Seattle for the last 25 years. He was educated as a rocket scientist and aircraft designer, graduating with a Masters Degree in Aeronautical and Astronautical Engineering.

Upon graduation, he joined a group of friends to form a software company, specializing in electronic mapping and route planning. This company was grown organically, and earned an unprecedented number of awards and accolades, including the British Design Award and The Queen’s Award for Technology, presented by Her Majesty in 1991. In 1994 Nick was recognized by the Sunday Times Magazine as “One of the top 50 entrepreneurs of the decade”. In 1994, after the company had grown to 50 people worldwide, it was sold to Microsoft.

Nick moved to America with the sale and spent 14 years working for Microsoft, the last ten of which were in the Microsoft Casual Game team. During his tenure, he filed a variety of patents for Microsoft, and represented Microsoft at various conferences and speaking engagements.

After leaving Microsoft, he joined RealNetworks to work as the GM of customer analytics for their games division, GameHouse.

After GameHouse, Nick spent five years as a Data Scientist, working for Facebook in their Seattle office.

In addition to his engineering expertise, Nick is passionate about data privacy and holds a CIPP qualification from the International Association of Privacy Professionals. He is an active member of the privacy community and speaks at various events about the legal and ethical aspects of data collection, use, and destruction.

In July 2013, Nick gave a TEDx talk about Passwords and the Internet, and in 2015 was nominated by GeekWire as Geek-of-the-week. In 2019 he was recognized as one of the 50 over 50 in the video games industry.

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Workshop / Seminar Mon, 06 Apr 2020 11:11:49 -0400 2020-04-03T15:00:00-04:00 2020-04-03T16:00:00-04:00 Michigan Institute for Data Science Workshop / Seminar Nick Berry
Census 2020: Opportunities and Challenges - Virtual Event (April 6, 2020 12:00pm) https://events.umich.edu/event/71194 71194-17785608@events.umich.edu Event Begins: Monday, April 6, 2020 12:00pm
Location: Institute For Social Research
Organized By: Institute for Social Research

Virtual Event - https://bluejeans.com/693473684

The Michigan Population Studies Center presents a panel discussion on Census 2020: Opportunities and Challenges, with Barbara A. Anderson, William Frey, David Johnson.

PSC Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

BIOS:

Dr. Anderson studies the relationship between social change and demographic change. Her research focuses on the former Soviet Union, China and South Africa. Her teaching centers on the relationship between social and demographic change and on technical demography.

Dr. Frey specializes in migration, population redistribution, and the demography of metropolitan areas. He is currently studying the dynamics of race and status-selective immigration and internal migration dynamics in U.S. metropolitan areas with the 1980-2000 Censuses. He also studies the migration and distribution of the elderly population in the U.S. as well as poverty migration determinants. Frey directs the Social Science Data Analysis Network (www.SSDAN.net) that creates demographic media for educators and policy-makers.

Dr. Johnson's research interests include the measurement of inequality and mobility (using income, consumption and wealth), the effects of tax rebates, equivalence scale estimation, poverty measurement, and price indexes.

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Presentation Tue, 07 Apr 2020 11:53:39 -0400 2020-04-06T12:00:00-04:00 2020-04-06T13:30:00-04:00 Institute For Social Research Institute for Social Research Presentation U.S. Map
A Data Scientist Plays Games (April 16, 2020 12:00pm) https://events.umich.edu/event/74087 74087-18510444@events.umich.edu Event Begins: Thursday, April 16, 2020 12:00pm
Location:
Organized By: Michigan Institute for Data Science

This event will be hosted online via Zoom

A Data Scientist Plays Games:  This is a presentation broken down into two parts.  The first is how to use mathematical techniques to analyze classic card and board games, and the second part is how data science techniques were applied in real life to support games on the Facebook platform.  This presentation is about 1.5 hours, with a target audience probably suited to CS/software engineering.  It’s light-hearted and fun.

Nick Berry, a native of the UK, has lived in Seattle for the last 25 years. He was educated as a rocket scientist and aircraft designer, graduating with a Masters Degree in Aeronautical and Astronautical Engineering.

Upon graduation, he joined a group of friends to form a software company, specializing in electronic mapping and route planning. This company was grown organically, and earned an unprecedented number of awards and accolades, including the British Design Award and The Queen’s Award for Technology, presented by Her Majesty in 1991. In 1994 Nick was recognized by the Sunday Times Magazine as “One of the top 50 entrepreneurs of the decade”. In 1994, after the company had grown to 50 people worldwide, it was sold to Microsoft.

Nick moved to America with the sale and spent 14 years working for Microsoft, the last ten of which were in the Microsoft Casual Game team. During his tenure, he filed a variety of patents for Microsoft, and represented Microsoft at various conferences and speaking engagements.

After leaving Microsoft, he joined RealNetworks to work as the GM of customer analytics for their games division, GameHouse.

After GameHouse, Nick spent five years as a Data Scientist, working for Facebook in their Seattle office.

In addition to his engineering expertise, Nick is passionate about data privacy and holds a CIPP qualification from the International Association of Privacy Professionals. He is an active member of the privacy community and speaks at various events about the legal and ethical aspects of data collection, use, and destruction.

In July 2013, Nick gave a TEDx talk about Passwords and the Internet, and in 2015 was nominated by GeekWire as Geek-of-the-week. In 2019 he was recognized as one of the 50 over 50 in the video games industry.

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Workshop / Seminar Mon, 06 Apr 2020 11:11:49 -0400 2020-04-16T12:00:00-04:00 2020-04-16T13:30:00-04:00 Michigan Institute for Data Science Workshop / Seminar Nick Berry
DANG! Meeting [Virtual] (April 27, 2020 4:00pm) https://events.umich.edu/event/73878 73878-18633863@events.umich.edu Event Begins: Monday, April 27, 2020 4:00pm
Location: Off Campus Location
Organized By: Data Analysis Networking Group

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

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-04-27T16:00:00-04:00 2020-04-27T17:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
DANG! Meeting [Virtual] (May 18, 2020 4:00pm) https://events.umich.edu/event/73878 73878-18738465@events.umich.edu Event Begins: Monday, May 18, 2020 4:00pm
Location: Off Campus Location
Organized By: Data Analysis Networking Group

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

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-05-18T16:00:00-04:00 2020-05-18T17:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
The Kids are Not All Right: Educational Inequalities in the Time of COVID-19 (May 20, 2020 11:00am) https://events.umich.edu/event/74605 74605-18851154@events.umich.edu Event Begins: Wednesday, May 20, 2020 11:00am
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Insights Speaker Series:
The Kids are Not All Right: Educational Inequalities in the Time of COVID-19

Presenter: Pamela Davis-Kean, Professor of Psychology and Research Professor at ISR

Wednesday, May 20
11am
https://umich.zoom.us/j/97584475822

With schools closed due to the COVID19 virus, the teaching and learning environments for children have now merged into one place--the home. With schools being the "great equalizer" for education opportunities, what does it mean for families to provide assistance and much of the teaching during the quarantine and what challenges will schools face if they are able to open in the fall? Dr. Davis-Kean will discuss her research on the inequalities in educational opportunities and what that means for families, schools, and children as this unprecedented crisis is potentially increasing achievement gaps across the country.

This webinar is the first in 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.

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Lecture / Discussion Thu, 14 May 2020 14:42:52 -0400 2020-05-20T11:00:00-04:00 2020-05-20T12:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
NIA Data Management Plans - Help and Resources for Researchers (May 28, 2020 2:00pm) https://events.umich.edu/event/74592 74592-18845183@events.umich.edu Event Begins: Thursday, May 28, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Need help creating a data management plan as part of NIH requirements? We are here to help!

For the first time since 2003, NIH is implementing new data sharing requirements for funded researchers. These changes are sweeping and can vary across NIH centers. NACDA, the ICPSR repository for data on aging, is funded by NIH’s National Institute on Aging (NIA) to provide research support to the gerontological community. NACDA is hosting this free webinar to help researchers understand new NIH and NIA guidelines in preparing their data management plans related to gerontological funding applications. The webinar will provide an overview of data sharing requirements, how the NACDA repository can serve as a resource for your project, and feature examples and tools available from NACDA and ICPSR. Our guest speaker, Dr. Partha Bhattacharyya, will provide NIA’s perspective and expectations in relation to these new data sharing requirements.

Dr. Partha Bhattacharyya is the Director of The Office of Research Resources (ORR) and also serves as a Program Director in the Population and Social Processes (PSP) Branch within the Division of Behavioral and Social Research (BSR). As the Director for ORR, Dr. Bhattacharyya coordinates, directs, and implements initiatives related to research data and resources supported by BSR and the National Institute on Aging (NIA). He advises NIA leadership on new developments in data collection, analysis, and data sharing, supporting the NIA mission.


This webinar will feature:
- Tips on how to prepare your data for sharing
- Resources available from NACDA and ICPSR
- Guidance from Dr. Partha Bhattacharyya - Director of The Office of Research Resources (ORR) and Program Director in the Population and Social Processes (PSP) Branch within the Division of Behavioral and Social Research (BSR)

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

This webinar is free and open to the public.

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Presentation Wed, 13 May 2020 18:26:25 -0400 2020-05-28T14:00:00-04:00 2020-05-28T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement of NIA data management plans webinar
Hidden Gems of ICPSR - A Peek Into the Data Vault (June 3, 2020 1:00pm) https://events.umich.edu/event/74694 74694-18910813@events.umich.edu Event Begins: Wednesday, June 3, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us to learn about data from the ICPSR vault!

We'll look deep into the ICPSR archive for hidden data gems you didn't know existed.

This webinar will demonstrate data available for free to ICPSR members (the University of Michigan is a member institution).

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Presentation Fri, 22 May 2020 01:58:19 -0400 2020-06-03T13:00:00-04:00 2020-06-03T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Announcement for Hidden Gems of ICPSR data webinar
Webinar: Moving beyond the title: Evaluating the data you find (June 17, 2020 1:00pm) https://events.umich.edu/event/74859 74859-19018185@events.umich.edu Event Begins: Wednesday, June 17, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

You've searched the catalog and found 4 studies that look promising for your project. How do you choose? The one that comes up first in the search results? The one with the most publications? Oops, one is restricted, now you're down to 3... This presentation will demonstrate how to use the information provided about each study to help choose the one that best fits your research needs. We will talk about some of the important metadata fields, the difference between restricted and public-use files, and how to use the codebook and online analysis tools to help evaluate what you've found in the context of your project.

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Presentation Thu, 04 Jun 2020 16:28:16 -0400 2020-06-17T13:00:00-04:00 2020-06-17T17:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Webinar announcement for Evaluating the Data You Find from ICPSR June 2020
DANG! Meeting [Virtual] (June 22, 2020 4:00pm) https://events.umich.edu/event/73878 73878-19120396@events.umich.edu Event Begins: Monday, June 22, 2020 4:00pm
Location: Off Campus Location
Organized By: Data Analysis Networking Group

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

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-06-22T16:00:00-04:00 2020-06-22T17:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
Using Precision Health resources to empower your COVID-19 research (June 25, 2020 10:30am) https://events.umich.edu/event/74897 74897-19065439@events.umich.edu Event Begins: Thursday, June 25, 2020 10:30am
Location: Off Campus Location
Organized By: Precision Health

How to use Precision Health resources (MGI and more) to empower your COVID-19 research


COVID-19 is the most urgent health crisis of our generation, and we will be studying it for decades to come. Join us for a one-hour workshop to explore:
• Data available on coronavirus testing and diagnoses
• Data available on demographics, comorbidities, medications, and other clinical information related to health outcomes
• Data available on genotypes for >70,000-participant MGI cohort
• Tools and services available to you for accessing and analyzing data

The workshop will be led by Erin O’Brien Kaleba, MPH, Director, Data Office for Clinical & Translational Research.

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Livestream / Virtual Wed, 10 Jun 2020 13:32:07 -0400 2020-06-25T10:30:00-04:00 2020-06-25T11:30:00-04:00 Off Campus Location Precision Health Livestream / Virtual Empower your research with PH resources
Webinar: How to Access and Use the Migrant and Seasonal Head Start Study Restricted-use Data Sets (June 30, 2020 1:00pm) https://events.umich.edu/event/74901 74901-19067404@events.umich.edu Event Begins: Tuesday, June 30, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

The Migrant and Seasonal Head Start (MSHS) Study provides a national picture of MSHS programs, centers, families, and children. The MSHS Study was designed through extensive engagement and input from the MSHS community to better understand:
- characteristics of MSHS programs, centers, staff, families, and children;
- services that MSHS provides;
- instructional practices in MSHS classrooms; and
- MSHS supports for child, parent, and family well-being.

The webinar will provide researchers and analysts with:
- An overview of MSHS and the MSHS Study;
- Study design, sample, and measures;
- Primary datasets and documentation;
- Representativeness and weights;
- Illustration of MSHS analyses and findings; and
- Guidance on accessing the dataset, including ICPSR’s standard application process and the submission of the signed data use agreement.

Click here (https://www.acf.hhs.gov/opre/resource/migrant-and-seasonal-head-start-study-2017-data-tables) for more information about the MSHS Study methodology, sample, measures, and findings.

Hosts: Child & Family Data Archive at ICPSR, Abt Associates, and the Office of Planning, Research, and Evaluation

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Presentation Wed, 10 Jun 2020 18:19:48 -0400 2020-06-30T13:00:00-04:00 2020-06-30T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Migrant and Seasonal Head Start Study webinar announcement
Surveying Voters on Election Day: Methodological Issues in Exit Polling (July 16, 2020 7:30pm) https://events.umich.edu/event/75222 75222-19340151@events.umich.edu Event Begins: Thursday, July 16, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. The lecture series is held in honor of Tad Blalock (https://sociology.unc.edu/hubert-morse-blalock-jr/), a distinguished statistician and sociologist who was an Official Representative to the Consortium and a member of its Executive Council.

These lectures are all free to join and open to the public.

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Presentation Wed, 15 Jul 2020 13:39:27 -0400 2020-07-16T19:30:00-04:00 2020-07-16T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Choices and Challenges in Pre-election Polling (July 21, 2020 7:30pm) https://events.umich.edu/event/75223 75223-19340153@events.umich.edu Event Begins: Tuesday, July 21, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:04:35 -0400 2020-07-21T19:30:00-04:00 2020-07-21T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Research Developments in the Study of Racialized Resentment (July 22, 2020 7:30pm) https://events.umich.edu/event/75224 75224-19340154@events.umich.edu Event Begins: Wednesday, July 22, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 13:48:58 -0400 2020-07-22T19:30:00-04:00 2020-07-22T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
The American National Election Study and Archived Data at ICPSR (July 28, 2020 7:30pm) https://events.umich.edu/event/75225 75225-19340157@events.umich.edu Event Begins: Tuesday, July 28, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:03:49 -0400 2020-07-28T19:30:00-04:00 2020-07-28T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Citizen Forecasting: The Formation of Voter Expectations and Their Aggregate Accuracy (July 29, 2020 7:30pm) https://events.umich.edu/event/75228 75228-19340158@events.umich.edu Event Begins: Wednesday, July 29, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:07:53 -0400 2020-07-29T19:30:00-04:00 2020-07-29T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Preparing to Teach for the First (or Second) Time (July 30, 2020 7:30pm) https://events.umich.edu/event/75229 75229-19340159@events.umich.edu Event Begins: Thursday, July 30, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:11:31 -0400 2020-07-30T19:30:00-04:00 2020-07-30T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Statistical Models of Election Outcomes (August 4, 2020 7:30pm) https://events.umich.edu/event/75230 75230-19340160@events.umich.edu Event Begins: Tuesday, August 4, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:14:55 -0400 2020-08-04T19:30:00-04:00 2020-08-04T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Health Disparities across the Life Cycle (August 5, 2020 7:30pm) https://events.umich.edu/event/75231 75231-19340161@events.umich.edu Event Begins: Wednesday, August 5, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:17:59 -0400 2020-08-05T19:30:00-04:00 2020-08-05T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Detroit Metropolitan Area Community Study and Archived Data at ICPSR (August 6, 2020 7:30pm) https://events.umich.edu/event/75232 75232-19340162@events.umich.edu Event Begins: Thursday, August 6, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:20:23 -0400 2020-08-06T19:30:00-04:00 2020-08-06T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
The Chitwan Valley Family Study and Archived Data at ICPSR (August 11, 2020 7:30pm) https://events.umich.edu/event/75233 75233-19340163@events.umich.edu Event Begins: Tuesday, August 11, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:22:36 -0400 2020-08-11T19:30:00-04:00 2020-08-11T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Identity Development among Young Black Men (August 12, 2020 7:30pm) https://events.umich.edu/event/75234 75234-19340164@events.umich.edu Event Begins: Wednesday, August 12, 2020 7:30pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. These lectures are all free to join and open to the public. For more information, visit https://www.icpsr.umich.edu/icpsrweb/sumprog/.

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Presentation Wed, 15 Jul 2020 17:25:17 -0400 2020-08-12T19:30:00-04:00 2020-08-12T21:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation 2020 ICPSR Blalock Lecture schedule
Navigating Longitudinal Collections with Colectica Portals (August 20, 2020 1:00pm) https://events.umich.edu/event/75428 75428-19489352@events.umich.edu Event Begins: Thursday, August 20, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Do you love exploring longitudinal data collections? For more than 30 years, NACDA, the aging archive within ICPSR, has been sharing data on aging populations - most of which is longitudinal data.. In this webinar, we will highlight our most widely used longitudinal collections, and demonstrate the online portal tool from Colectica.

The Colectica Portal is a web application which enables data and metadata publication and discovery and has a foundation in DDI-Lifecycle.

This tool is particularly great for longitudinal data, since it is built to search and display data documentation for longitudinal and repeated data collections. Users can view variables included in collections across time, side by side. The founders of Colectica, Jeremy Iverson and Dan Smith, will be joining us to talk about key features and use.

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

This webinar is free and open to the public.

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Presentation Mon, 03 Aug 2020 13:02:57 -0400 2020-08-20T13:00:00-04:00 2020-08-20T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation NACDA ICPSR webinar August 2020
DANG! Meeting [Virtual] (August 24, 2020 9:00am) https://events.umich.edu/event/73878 73878-19338188@events.umich.edu Event Begins: Monday, August 24, 2020 9:00am
Location: Off Campus Location
Organized By: Data Analysis Networking Group

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

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Livestream / Virtual Wed, 07 Oct 2020 11:22:54 -0400 2020-08-24T09:00:00-04:00 2020-08-24T10:00:00-04:00 Off Campus Location Data Analysis Networking Group Livestream / Virtual DANG!
MIDAS Faculty Research Pitch (September 9, 2020 1:30pm) https://events.umich.edu/event/75915 75915-19623831@events.umich.edu Event Begins: Wednesday, September 9, 2020 1:30pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Please join us for the very first MIDAS faculty research pitch session. Find out about exciting data science research that is happening at U-M, explore collaboration opportunities and student research opportunities. Faculty members will each give a 3-minute lightning talk, and there will be a 30-minute networking session. All U-M faculty, staff and students are welcome to attend.

Faculty Presenters:

Peter Adriaens, Professor, Civil & Environmental Eng/Business/SeAS
Syagnik Banerjee, Professor, Department of Management and Marketing, School of Management, University of Michigan Flint
Shan Bao, Associate Professor, UMTRI; UM-Dearborn
Albert Berahas, Assistant Professor, Industrial and Operations Engineering
Lei Chen, Assistant Professor, Mechanical Engineering at UM-Dearborn
Keyvn Collins-Thompson, Associate Professor, School of Information
Paramveer Dhillon, Assistant Professor, School of Information
Ivo Dinov, Professor, Nursing/Medicine
Salar Fattahi, Assistant Professor, Industrial and Operations Engineering
Fred Feng, Assistant Professor, Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn
Jaerock Kwan, Assistant Professor, Electrical and Computer Engineering, EECS
Robert Manduca, Assistant Professor, Sociology, LSA
Murali Mani, Associate Professor, Computer Science, University of Michigan, Flint
Charles Mayo, Professor, Radiation Oncology
Mark Van Oyen, Professor, IOE, College of Engineering
Atul Prakash, Professor, Computer Science and Engineering
Greg Rybarczyk, Associate Professor, University of Michigan-Flint
Perry Samson, Professor, Climate and Space Sciences and Engineering, Engineering
Yulia Sevryugina, Senior Associate Librarian, Library

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Lecture / Discussion Thu, 20 Aug 2020 15:38:16 -0400 2020-09-09T13:30:00-04:00 2020-09-09T15:00:00-04:00 Off Campus Location Michigan Institute for Data Science Lecture / Discussion MIDAS Faculty Research Pitch
Data Science, Time Complexity, and Spacekime Analytics (September 11, 2020 12:00pm) https://events.umich.edu/event/76500 76500-19719162@events.umich.edu Event Begins: Friday, September 11, 2020 12:00pm
Location: Off Campus Location
Organized By: LSA Biophysics

Digital information flows impact all human experiences. The proliferation of large, heterogeneous, and spatio-temporal data requires novel approaches for managing, modeling, analyzing, interpreting, and visualizing complex information. The scientific community is developing, validating, productizing, and supporting novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.

Spacekime analytics is a new technique for modeling high-dimensional longitudinal data. This approach relies on extending the notions of time, events, particles, and wavefunctions to complex-time (kime), complex-events (kevents), data, and inference-functions. We will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus reveals interesting statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes (e.g., time-series) from the classical 4D Minkowski spacetime to a 5D spacekime manifold (e.g., kime-surfaces), where a number of mathematical problems remain to be solved.

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Livestream / Virtual Tue, 01 Sep 2020 14:53:10 -0400 2020-09-11T12:00:00-04:00 2020-09-11T13:00:00-04:00 Off Campus Location LSA Biophysics Livestream / Virtual Ivo D. Dinov
Attendee Orientation: ICPSR Data Fair (September 18, 2020 11:00am) https://events.umich.edu/event/77135 77135-19798503@events.umich.edu Event Begins: Friday, September 18, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

In preparation for the conference, the Data Fair committee will host an optional orientation session open to all attendees.

During this session, we will:

- discuss the history of the ICPSR Data Fair,

- answer final questions about attending, and

- allow space for attendees to meet one another!



The first 20 minutes will include a brief history of the Data Fair and time for Q&A. The remaining time will be dedicated to informal socializing and networking. Attendance is optional, but encouraged.

For security purposes, the password to this session will be emailed separately. Attendees will enter the session in a "waiting room" and will be automatically entered into the meeting after being verified as Data Fair attendees.

Please note that this is the only Data Fair session where, if you choose, other attendees will be able to see and hear you. When you enter the Zoom meeting, your microphone will be muted and your camera will be off. Attendees may turn on cameras at any time. The hosts will individually invite attendees to unmute microphones for Q&A following the presentation. If you'd like to review what a Zoom session is like before joining this event, visit https://zoom.us/test

This event is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Fri, 11 Sep 2020 12:54:16 -0400 2020-09-18T11:00:00-04:00 2020-09-18T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Attendee Orientation: ICPSR Data Fair
Rebuild and Empower: The Public Value of Data-Driven Social Science (September 21, 2020 11:00am) https://events.umich.edu/event/76009 76009-19649447@events.umich.edu Event Begins: Monday, September 21, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Our world faces important challenges at the same time that it has important opportunities for innovation. The social and behavioral sciences offer insights that are not just relevant to these challenges, but are also irreplaceable. This talk will focus on important contributions that data-driven social science is making today. It will also describe new opportunities for social scientists to provide great service to society for years to come.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Sun, 23 Aug 2020 23:57:58 -0400 2020-09-21T11:00:00-04:00 2020-09-21T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Rebuild and Empower: The Public Value of Data-Driven Social Science
IRIS: Five Years of Creating Trusted Independent Data About the Impact of Research (September 21, 2020 12:00pm) https://events.umich.edu/event/76377 76377-19711143@events.umich.edu Event Begins: Monday, September 21, 2020 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

The Institute for Research on Innovation and Science (IRIS) is a member consortium of universities anchored by an IRB-approved data repository hosted at the University of Michigan’s Institute for Social Research. IRIS was founded in 2015 with support from the Alfred P. Sloan and Ewing Marion Kauffman foundations.

IRIS collects record level administrative data from its members to produce a de-identified dataset for research and reporting that will improve our ability to understand, explain and improve the public value of research. Its mission is to be a trusted resource for high quality data that supports independent, frontier research on science and innovation in the service of the public interest.

This year, IRIS created a new tool called the Impact Finder, which allows for easy browsing of our uniquely powerful dataset based on geographic area, subject matter, funding agency, and time period.

The Impact Finder allows non-data-trained users to search our unique database to find story leads that align with your institution's communications priorities.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Mon, 31 Aug 2020 12:48:13 -0400 2020-09-21T12:00:00-04:00 2020-09-21T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation IRIS: Five Years of Creating Trusted Independent Data About the Impact of Research
The 2020 Presidential Race Mid-Campaign (September 21, 2020 1:00pm) https://events.umich.edu/event/76116 76116-19663538@events.umich.edu Event Begins: Monday, September 21, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

A month after the conventions and with six weeks to go, this talk will focus on the state of the contest between Donald Trump and Joe Biden. The background will be the state of public opinion about the state of the country and the impact of Covid 19 on evaluations of the candidates.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 13:53:04 -0400 2020-09-21T13:00:00-04:00 2020-09-21T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation The 2020 Presidential Race Mid-Campaign
Redistricting Math: Using Computers to Stop Gerrymandering (September 21, 2020 2:00pm) https://events.umich.edu/event/76355 76355-19709153@events.umich.edu Event Begins: Monday, September 21, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

In the last several years, mathematicians and computer scientists have become increasingly involved in the fight against gerrymandering. In particular, they have been using sampling algorithms to generate large collections of district maps, against which to compare a challenged map. If the challenged map is an outlier across several metrics that may be evidence of an unconstitutional gerrymander. These methods have been used in gerrymandering litigation and are expected to play an even bigger part in redistricting lawsuits after the release of the decennial census data next year. In this talk we will look at the basics of some map-sampling techniques as well as the data required for the analysis. We'll also discuss the biggest challenges to data collection and processing in redistricting work.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair

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Presentation Tue, 01 Sep 2020 14:00:39 -0400 2020-09-21T14:00:00-04:00 2020-09-21T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Redistricting Math: Using Computers to Stop Gerrymandering
Methods and Analytic Approaches for Physically Disabled Persons Using Administrative Claims Dataset (September 21, 2020 3:00pm) https://events.umich.edu/event/76387 76387-19711155@events.umich.edu Event Begins: Monday, September 21, 2020 3:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Administrative claims datasets present both challenges and benefits in the analysis of outcomes, cost, and comorbidity burden facing physically disabled individuals. The increasing use of administrative claims represents one of many plausible answers to concerns related to small sample and single institution studies. Longitudinal data analysis as well as outcomes and cost (insurance reimbursement and patient out-of-pocket cost as a form of financial burden) can be carefully studied using administrative claims datasets. In this webinar, we will highlight the strengths and analytic approaches in current work from the IDEAL RRTC. We will also carefully consider potential limitations in using these analytic approaches. Two different case studies will be considered with a cursory treatment of analytic approaches and population identification with inclusion and exclusion criteria with justification and rationale for these decisions. Applications of survival analysis, propensity score matching, and generalized linear models with respect to dichotomous and continuous and skewed outcomes will be discussed within the contexts of these case studies. The webinar will culminate with a summarization of the value of these studies, why they should continue to be pursued, and next steps in the evolution of claims-based research for the disabled population. The presenters, Dr. Elham Mahmoudi and Mr. Neil Kamdar, are both health services researchers with extensive experience working with administrative claims as well as other secondary data sources with a focus on applied econometric and statistical methods.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 14:11:58 -0400 2020-09-21T15:00:00-04:00 2020-09-21T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Methods and Analytic Approaches for Physically Disabled Persons Using Administrative Claims Dataset
A Quantitative Intersectional Approach to Examining Risk and Resilience Among Young Black Men (September 21, 2020 4:00pm) https://events.umich.edu/event/76481 76481-19719149@events.umich.edu Event Begins: Monday, September 21, 2020 4:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

This talk focuses on the identity development of young boys and men of color focusing on Blacks in particular. It also focuses on the linkage of identity formation to multiple outcomes throughout their life course.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 12:38:18 -0400 2020-09-21T16:00:00-04:00 2020-09-21T17:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation A Quantitative Intersectional Approach to Examining Risk and Resilience Among Young Black Men
Analyst, Creator, Consultant: Models of Undergraduate Experiential Data Learning (September 22, 2020 11:00am) https://events.umich.edu/event/76388 76388-19711156@events.umich.edu Event Begins: Tuesday, September 22, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Presenters will describe three successful models for engaging undergraduate students in experiential learning with data at Virginia Tech. Nathaniel Porter will discuss Introduction to Data in Social Context, a general education course that integrates critical data studies with applied data analysis. Tom Ewing will describe Topics in Data in Social Context, an upper-division course where students collaborated with the National Library of Medicine to collect and study alternative data on the 1918 Influenza Epidemic. Anne M. Brown will share the model of DataBridge, a student data consulting program based in the University Libraries that provides research credits for new students interested in working with real-life data and potential employment assisting faculty, students and community members with data. Presentations will focus on the process and challenges of implementing and scaling the models, and time will be reserved for discussion of audience questions.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Wed, 02 Sep 2020 08:38:14 -0400 2020-09-22T11:00:00-04:00 2020-09-22T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Analyst, Creator, Consultant: Models of Undergraduate Experiential Data Learning
Damned Lies and Coronavirus Statistics (September 22, 2020 12:00pm) https://events.umich.edu/event/76390 76390-19711158@events.umich.edu Event Begins: Tuesday, September 22, 2020 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

A key skill in thinking critically involves understanding that statistics are socially constructed. That is, it is important to ask questions such as: Who counted?; What did they count?; Why did they count?; and How did they go about counting? Interpreting the COVID-19 pandemic illustrates the importance of a constructionist approach, as people continue to struggle with measuring and interpreting the disease's effects.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Mon, 31 Aug 2020 14:41:35 -0400 2020-09-22T12:00:00-04:00 2020-09-22T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Damned Lies and Coronavirus Statistics
Capturing the Lived Experience of Subgroups in the US (September 22, 2020 1:00pm) https://events.umich.edu/event/76394 76394-19711167@events.umich.edu Event Begins: Tuesday, September 22, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join David Thomas, Senior Data Project Manager at ICPSR, for a tour of available data regarding the experience of subgroups in the US including race, gender, income level, and more.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Thu, 10 Sep 2020 11:20:05 -0400 2020-09-22T13:00:00-04:00 2020-09-22T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Capturing the Lived Experience of Subgroups in the US
Quantifying Gender Identities and Behaviors (September 22, 2020 2:00pm) https://events.umich.edu/event/76395 76395-19711168@events.umich.edu Event Begins: Tuesday, September 22, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

In this session we will review some of the challenges in creating gender inclusive categories in surveys using real world examples. Key issues include:1) identifying correlations with non-binary gender data (what if your sample has 1 trans person and everyone else is cis male/female, for example?) and 2) challenges related to time order with transgender populations (what it means to be visibly transgender in relation to discrimination can vary so much over the life course, for example). We will also discuss how researchers, particularly grad students and undergrads, are using social media to target distribution of surveys to transgender populations. The methodological implications of these transparent dialogues between researcher and researched populations are fascinating. This topic may actually be the most controversial between positivist-leaning and cultural sociologist attendees. We look forward to audience participation on this one!

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Fri, 11 Sep 2020 14:49:17 -0400 2020-09-22T14:00:00-04:00 2020-09-22T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Quantifying Gender Identities and Behaviors
Data in Social Media (September 22, 2020 3:00pm) https://events.umich.edu/event/76399 76399-19711171@events.umich.edu Event Begins: Tuesday, September 22, 2020 3:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Hansen will share some insights having taught the use of data and computation to journalists for the last eight years. He will focus on computation-heavy projects, casting data as a kind of source for journalists.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Mon, 31 Aug 2020 15:07:07 -0400 2020-09-22T15:00:00-04:00 2020-09-22T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Data in Social Media
Topic Data Quality Challenges for Census 2020: How will we know and what can we do? (September 22, 2020 4:00pm) https://events.umich.edu/event/77193 77193-19820177@events.umich.edu Event Begins: Tuesday, September 22, 2020 4:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

What are the challenges around data quality of the census in 2020? Join us for a conversation with:

John H. Thompson, former Director of the U.S. Census Bureau

D'Vera Cohn, senior writer, and editor at Pew Research Center

Dr. Joseph Hotz, Distinguished Professor of Economics at Duke University

Moderated by Dr. Mark Hansen, Director of the Brown Institute of Media Innovation at Columbia University

Presented by:

D’Vera Cohn
Senior Writer and Editor at Pew Research Center

D’Vera Cohn is a senior writer and editor at Pew Research Center. She studies and writes about demographics in the United States, especially the census. Cohn was a Washington Post reporter for 21 years, mainly writing about demographics, and was the newspaper’s lead reporter for the 2000 census. Before joining Pew Research Center, she served as a consultant and freelance writer for the Brookings Institution and Population Reference Bureau. Cohn is a graduate of Bryn Mawr College and is a former Nieman Fellow. She is an author of studies on the marriage and birth rates in the United States, migration between the U.S. and Mexico, and U.S. population projections. Cohn manages Pew Research Center’s @allthingscensus Twitter account. She has spoken at national journalism conferences about how reporters can make use of demographic data in stories and often talks about the Center’s findings in print and broadcast media.

Dr. Joseph Hotz
Distinguished Professor of Economics at Duke University

Professor Hotz specializes in the subjects of applied econometrics, labor economics, economic demography, and economics of the family. His studies have investigated the impacts of social programs, such as welfare-to-work training; the relationship between childbearing patterns and labor force participation of U.S. women; the effects of teenage pregnancy; the child care market; the Earned Income Tax Credit; and other such subjects. He began conducting his studies in 1977 and has since published his work extensively in books and leading academic journals. Many of his projects have been funded by grants awarded by the National Institute of Health and the National Science Foundation. He is currently completing a project with Duncan Thomas on, “Preference and Economic Decision-Making” under a grant from the National Institute of Child Health and Human Development. His recent works also include, “Tax Policy and Low-Wage Labor Markets: New Work on Employment, Effectiveness, and Administration” with John Karl Scholz and Charles Mullin; and “Designing New Models to Explain Family Change and Variation” with S. Philip Morgan. Along with his duties as an independent researcher, Professor Hotz has also held positions as a research associate of the National Bureau of Economic Research, the National Poverty Center, the Institute for the Study of Labor, and the Institute for Research on Poverty. He is presently a member of the Committee on National Statistics for the National Academy of Sciences’ Research Council.

John H. Thompson
Distinguished Institute Fellow at the University of Virginia and former Director of the U.S. Census Bureau
John H. Thompson is a Distinguished Institute Fellow with the Biocomplexity Institute and Initiative at the University of Virginia. He also is currently an independent consultant with a focus on survey methodology, executive leadership, the Federal Statistical System, and decennial census. Thompson was director of the U.S. Census Bureau, and most recently, the Executive Director of the Council of Professional Associations on Federal Statistics, an organization whose focus is to advocate for the production and use of high-quality statistics to support good governance and economic growth. Thompson is nationally recognized for his innovative leadership, significant impact on government and academic research, and vision to advance excellence in federal statistics and modernize the federal statistical system.

Thompson spent close to 10 years in two separate, distinctive executive leadership positions with the U.S. Census Bureau. From 1997 to 2002, he was the senior career executive responsible for all aspects of the 2000 Decennial Census and spearheaded the transformation of large-scale complex surveys through innovation. As the executive leader of the 2000 Decennial Census, the U.S. government’s largest peacetime mobilization, he managed a budget of $6.5 billion and a workforce of more than 500,000 people. He received accolades for his outstanding work from the National Academy of Sciences Panel evaluating the census, among others. From 2013 to 2017, Thompson was the director of the Census Bureau where he successfully worked with the executive and legislative branches of the federal government, including the White House and Congress, to transform the Bureau into a forward-looking 21st century statistical agency. His accomplishments include a redesign of the 2020 Decennial Census to achieve great efficiencies through the use of modern geospatial tools, the Internet, and mobile technology; and implementation of a research program to support mission critical activities – both of which have had a profound impact on the federal statistical system.

Thompson was President and Executive Vice President of the (National Opinion Research Center) NORC at the University of Chicago, a national nonprofit organization that conducts high-quality social science research in the public interest. Between 2002 and 2012, he led the organization to nearly 50 percent growth in revenue, implemented new initiatives to improve and advance federal statistics, and oversaw major research projects, including the National Immunization Survey conducted on behalf of the Centers for Disease Control and Prevention.

Thompson is a fellow of the American Statistical Association, a member of the 2013 Virginia Tech College of Science Hall of Distinction inaugural class, and received the Presidential Rank Award for Meritorious Executive in 2001. The Department of Commerce recognized his cumulative impact on federal statistics with the bronze medal in 1988, silver medal in 1998, and gold medal in 2000.

Mark Hanson (Moderator)

Director of the David and Helen Gurley Brown Institute for Media Innovation @Columbia University Graduate School of Journalism

Mark Hansen is a professor at the Columbia University Graduate School of Journalism and Director of the David and Helen Gurley Brown Institute for Media Innovation. His special interest is the intersection of data, art, and technology. He adopts an interdisciplinary approach to data science, drawing on various branches of applied mathematics, information theory, and new media arts. Hansen is also a current member of the ICPSR Council. Within the field of journalism, Hansen has promoted coding literacy for journalists.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Mon, 14 Sep 2020 10:22:51 -0400 2020-09-22T16:00:00-04:00 2020-09-22T17:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Topic Data Quality Challenges for Census 2020: How will we know and what can we do?
2020 Precision Health Virtual Symposium (September 23, 2020 8:45am) https://events.umich.edu/event/75090 75090-19216540@events.umich.edu Event Begins: Wednesday, September 23, 2020 8:45am
Location: Off Campus Location
Organized By: Precision Health

Join us for a full-day virtual event celebrating and exploring the latest research in the fast-moving, multidisciplinary field of precision health.

This year's event focuses on the engagement of community participants to do research and the positive impact research can have on communities. Featuring national and local experts from engineering, medicine, nursing, pharmacy, public health, and many other areas, this event will provide thought-provoking sessions from multiple perspectives.

The morning session is geared toward researchers, with speakers sharing best practices and the importance of engaging a community. The afternoon session will be appropriate for both research participants and researchers, as we focus on the impact of research on community. You may attend either or both sessions. All are welcome.

A virtual poster session will feature work by funded Precision Health Investigators and other invited research groups.

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Livestream / Virtual Mon, 24 Aug 2020 14:37:59 -0400 2020-09-23T08:45:00-04:00 2020-09-23T15:15:00-04:00 Off Campus Location Precision Health Livestream / Virtual 2020 Precision Health Virtual Symposium
State of the Consortium (September 23, 2020 11:00am) https://events.umich.edu/event/76439 76439-19717136@events.umich.edu Event Begins: Wednesday, September 23, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR reached a new high of 791 member institutions in June 2020. It’s been a productive year for ICPSR, even amidst the turbulence caused by COVID-19, and another active year is on deck. Join ICPSR Director Maggie Levenstein for a conversation covering the state of ICPSR. We’ll talk about our membership, our challenges, our evolving technological infrastructure, new data projects, and more!

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 08:52:05 -0400 2020-09-23T11:00:00-04:00 2020-09-23T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation State of the Consortium
Decennial Census Digitization and Linkage Project (September 23, 2020 12:00pm) https://events.umich.edu/event/76441 76441-19717138@events.umich.edu Event Begins: Wednesday, September 23, 2020 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR and the Census Bureau have initiated a joint project to create the largest longitudinal population database in the United States. The Decennial Census Digitization and Linkage project (DCDL) will digitize and link individual records across every census since 1940. The resulting data resource will revolutionize our understanding of human behavior and life in the United States. Staff from ICPSR and the Census Bureau will describe the project's innovative methods of data rescue, record linkage, and restricted data access.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 09:08:33 -0400 2020-09-23T12:00:00-04:00 2020-09-23T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Decennial Census Digitization and Linkage Project
Augmenting Health Research through Secondary Data Use: the National Neighborhood Data Archive (NaNDA) (September 23, 2020 1:00pm) https://events.umich.edu/event/76443 76443-19717140@events.umich.edu Event Begins: Wednesday, September 23, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

The National Neighborhood Data Archive (NaNDA) is a repository of neighborhood contextual measures -- place-based data that quantifies the physical, demographic, economic, and/or social environment -- used to understand the role of neighborhood context and resources for population health. Most NaNDA contextual measures are created using publicly available data, such as from the Census Bureau. So why would a researcher use NaNDA instead of going directly to the primary data to obtain or create their own contextual measures? In this session, we will discuss case studies from the NaNDA repository that augment and recombine publicly available data to create novel measures to study the role of neighborhoods for health and health inequities

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 09:26:20 -0400 2020-09-23T13:00:00-04:00 2020-09-23T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.
Introduction to Research Computing on the Great Lakes Cluster (September 23, 2020 1:00pm) https://events.umich.edu/event/77376 77376-19846054@events.umich.edu Event Begins: Wednesday, September 23, 2020 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-09-23T13:00:00-04:00 2020-09-23T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Introduction to Research Computing on the Great Lakes Cluster (September 23, 2020 1:00pm) https://events.umich.edu/event/77376 77376-19846055@events.umich.edu Event Begins: Wednesday, September 23, 2020 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-09-23T13:00:00-04:00 2020-09-23T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
Introduction to Research Computing on the Great Lakes Cluster (September 23, 2020 1:00pm) https://events.umich.edu/event/77376 77376-19846056@events.umich.edu Event Begins: Wednesday, September 23, 2020 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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Workshop / Seminar Wed, 07 Oct 2020 11:15:54 -0400 2020-09-23T13:00:00-04:00 2020-09-23T16:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar
The Real-Life Story of the Just-Released ICPSR Study: New Immigrants Admitted to the United States, Federal Fiscal Years 1972-2000 (September 23, 2020 2:00pm) https://events.umich.edu/event/76445 76445-19717142@events.umich.edu Event Begins: Wednesday, September 23, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for a unique session that tells the real-life story of how these just-released research data arrived to ICPSR so that they could be shared with our data community! The combined efforts, passion, and funding of a donor, principal investigator (PI), student, and ICPSR leadership came together to gather, curate, and release these important data. Panelists: Andrew Gottesman, Margaret Levenstein, and Sherrie Kossoudji.

And once you have heard the story, you will want to learn all about the data directly from PI, Sherrie Kossoudji, who will describe these data, which include every single person admitted as an immigrant 1972-2000, and give insights into the types of analyses that might be undertaken. Could you be the first to publish using these data?

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 09:33:34 -0400 2020-09-23T14:00:00-04:00 2020-09-23T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation The Real-Life Story of the Just-Released ICPSR Study: New Immigrants Admitted to the United States, Federal Fiscal Years 1972-2000
Case Studies in Communicating Data in Higher Education: From Awareness to Action (September 23, 2020 3:00pm) https://events.umich.edu/event/76447 76447-19717143@events.umich.edu Event Begins: Wednesday, September 23, 2020 3:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Dory and Catherine share a few Case Studies in communicating in complex data- and research-rich environment. They will discuss some ways in which strategic communications planning had an immediate, measurable, and far-reaching impact.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Wed, 02 Sep 2020 09:31:21 -0400 2020-09-23T15:00:00-04:00 2020-09-23T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Case Studies in Communicating Data in Higher Education: From Awareness to Action
A Summer Program Like No Other: A Retrospective on the 2020 ICPSR Summer Program (September 23, 2020 4:00pm) https://events.umich.edu/event/76543 76543-19725090@events.umich.edu Event Begins: Wednesday, September 23, 2020 4:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

For the first time in its history, the ICPSR Summer Program was fully online. How did the program shift so quickly and drastically, and how did it go? What lessons did the staff learn, and what might those lessons mean for future years and possibly keeping an online portion of the program permanently? Mike Traugott, Summer Program Director, looks back on the recently completed 2020 Summer Program.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Wed, 02 Sep 2020 10:04:06 -0400 2020-09-23T16:00:00-04:00 2020-09-23T17:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation A Summer Program Like No Other: A Retrospective on the 2020 ICPSR Summer Program
On Why Race Still Matters: Ontological Commitments and Researching Without Numbers (September 24, 2020 11:00am) https://events.umich.edu/event/76459 76459-19717154@events.umich.edu Event Begins: Thursday, September 24, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Race and racism will continue to be topics investigated by qualitative research but uncritically explored as factors impacting the inquiry process in and of itself resulting in both being largely invisible and normalized. Critical discussions of race and racism at the interstice of the inquiry process are largely absent but race still matters because we exist in an environment rife with anti-Black racism and White privilege and as human beings we maintain ontological commitments that influence what we study and how. This session will explore the notion of ontological commitments, what they are, why we need to be attentive to them when researching without numbers.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 10:43:22 -0400 2020-09-24T11:00:00-04:00 2020-09-24T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation On Why Race Still Matters: Ontological Commitments and Researching Without Numbers
Segregation within Integrated Schools: Racially Disproportionate Student-Teacher Assignments in Middle Schools (September 24, 2020 12:00pm) https://events.umich.edu/event/76463 76463-19717157@events.umich.edu Event Begins: Thursday, September 24, 2020 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Our study examines trends of racially disproportionate assignment of Black and Hispanic students to less experienced teachers than their white counterparts. Specifically, our analysis shows statistically significant trends in the assignment of less experienced teachers to Black and Hispanic students in middle school math over several years. This study is the first in education to measure the cumulative pattern of racially disproportionate student-teacher assignments over time. We introduce the Cumulative Deficit index as a measure of cumulative patterns of racially disproportionate student-teacher assignment. We concluded student race is correlated with exposure to more experienced teachers over time.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 10:52:50 -0400 2020-09-24T12:00:00-04:00 2020-09-24T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Segregation within Integrated Schools: Racially Disproportionate Student-Teacher Assignments in Middle Schools
Data Engagement for the Data-Hesitant Librarian (September 24, 2020 1:00pm) https://events.umich.edu/event/76465 76465-19717158@events.umich.edu Event Begins: Thursday, September 24, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

In our data-driven world, what are the best ways to engage librarians who are hesitant to work with data-related content and questions? Can we? Must we? Should we? Critical data literacy will be the starting place for the presentation, followed by suggestions for how to engage “non-data” librarians with data training and activities in the library setting. We’ll discuss the issue of how feasible it is to expect universal data savvy, and how to empower librarians to choose their own approaches to the issue, both in the workplace and in their career planning. Finally, we’ll discuss training approaches and availability specifically, and attendees will leave with ideas for a plan of action for future data training in their libraries.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 10:57:42 -0400 2020-09-24T13:00:00-04:00 2020-09-24T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Data Engagement for the Data-Hesitant Librarian
Using Cannabis Data to Improve Public Health and Promote Social Equity (September 24, 2020 2:00pm) https://events.umich.edu/event/76468 76468-19717161@events.umich.edu Event Begins: Thursday, September 24, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Despite liberalization of cannabis laws in 47 states, ongoing federal prohibition makes it difficult to obtain data from users and producers in different locales to better understand their experiences. As more states legalize cannabis markets, regulators must have access to actionable data to make informed decisions regarding product labeling and how to provide ownership access for communities disproportionately impacted by the drug war. The COVID-19 pandemic has also generated questions about how use patterns have been impacted by shelter-in-place orders. The purpose of this session is to share highlights from cannabis research using survey primary and secondary data to answer these questions about cannabis use and policy impacts in different contexts.

This presentation will include:
- Making Sense of Negative Experiences with Cannabis Edibles: Panel Survey Results
- Cannabis Use and Covid-19
- Cannabis Social Equity Programs

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 11:05:02 -0400 2020-09-24T14:00:00-04:00 2020-09-24T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Using Cannabis Data to Improve Public Health and Promote Social Equity
Celebrating 20 Years of Linking You to Publications that Analyze ICPSR Data (September 24, 2020 3:00pm) https://events.umich.edu/event/76469 76469-19717162@events.umich.edu Event Begins: Thursday, September 24, 2020 3:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Need a tool to find and assess data you might want from the huge ICPSR collection? Learn how students, researchers, and instructors/librarians utilize the ICPSR Bibliography of Data-related Literature. Meet the ICPSR staff who find publications and link them to the underlying data. Get an understanding of the importance of data citation and how to cite data according to best practice. Help us celebrate the 20th anniversary of the ICPSR Bibliography of Data-related Literature.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fai

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Presentation Tue, 01 Sep 2020 11:11:42 -0400 2020-09-24T15:00:00-04:00 2020-09-24T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Celebrating 20 Years of Linking You to Publications that Analyze ICPSR Data
Data for Real Life: ICPSR for research, data in the classroom and more (September 24, 2020 4:00pm) https://events.umich.edu/event/77008 77008-19788466@events.umich.edu Event Begins: Thursday, September 24, 2020 4:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

A look at ICPSR's resources including featured data, resources for remote teaching, and a sneak peek at what's coming up from Membership Director Linda Detterman and Membership Experience Manager Annalee Shelton

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Thu, 10 Sep 2020 09:42:10 -0400 2020-09-24T16:00:00-04:00 2020-09-24T17:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Data for Real Life: ICPSR for research, data in the classroom and more
ICPSR's COVID 19 Data Archive (September 25, 2020 11:00am) https://events.umich.edu/event/76472 76472-19717164@events.umich.edu Event Begins: Friday, September 25, 2020 11:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Learn about the new COVID-19 Data Repository, a repository for data examining the social, behavioral, public health, and economic impact of the novel coronavirus global pandemic (https://www.openicpsr.org/openicpsr/covid19). Dr. Amy Pienta, Research Scientist and Director of ICPSR's Business and Collection Development, will discuss ICPSR's role in writing international guidelines for sharing COVID-19 data. Senior Data Project Manager Chelsea Goforth will discuss why this archive is important, what you'll find, some ways this data might be used, and how you can contribute. Screen reader support enabled.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 11:32:24 -0400 2020-09-25T11:00:00-04:00 2020-09-25T12:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation ICPSR's COVID 19 Data Archive
Challenges for Census 2020 The impact on data quality - ICPSR Data Fair 2020 (September 25, 2020 12:00pm) https://events.umich.edu/event/77144 77144-19798545@events.umich.edu Event Begins: Friday, September 25, 2020 12:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join us for a conversation regarding the 2020 Census. Speakers will include two Chief Statisticians of the United States (emeritae), an expert on the development of statistical data systems (particularly the census), and a demographer who has experienced the community impact of the census. Topics will include mail delays at the USPS, political appointees, COVID-19, and other factors affecting the 2020 Census.

Moderated by Katherine Wallman, former Chief Statistician at the United States

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Fri, 18 Sep 2020 08:51:54 -0400 2020-09-25T12:00:00-04:00 2020-09-25T13:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Challenges for Census 2020 The impact on data quality - ICPSR Data Fair 2020
Getting to Know the ISR Summer Institute in Survey Research Techniques (September 25, 2020 1:00pm) https://events.umich.edu/event/76475 76475-19719130@events.umich.edu Event Begins: Friday, September 25, 2020 1:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Summer Institute faculty and staff will first provide a brief history of the Summer Institute, and then turn to a discussion of the program. Topics include many aspects of survey research including the fundamental principles involved in drawing samples, designing questionnaires, data collection, and design-based analysis of survey data. The SRC Summer Institute is unique in comparison to the ICPSR Summer Program in terms of its focus on the process of research design and data collection (as opposed to analyzing data that have already been collected).

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 01 Sep 2020 12:02:58 -0400 2020-09-25T13:00:00-04:00 2020-09-25T14:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Getting to Know the ISR Summer Institute in Survey Research Techniques
Conceptualizing and Visualizing Conflict Data with Shiny (September 25, 2020 2:00pm) https://events.umich.edu/event/76479 76479-19719134@events.umich.edu Event Begins: Friday, September 25, 2020 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Join Drs. Dave Armstrong and Christian Davenport for a real-world example of data visualization using Shiny. They discuss conceptualization and measurement of conflict in quantitative data and demonstrate how to produce graphics to convey their findings.

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.

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Presentation Tue, 15 Sep 2020 11:16:57 -0400 2020-09-25T14:00:00-04:00 2020-09-25T15:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Presentation Conceptualizing and Visualizing Conflict Data with Shiny
Introduction to Research Computing on the Great Lakes Cluster (September 29, 2020 12:00pm) https://events.umich.edu/event/77376 77376-19846062@events.umich.edu Event Begins: Tuesday, September 29, 2020 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli, LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OVERVIEW
Introduction to Research Computing on the Great Lakes Cluster

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

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

INSTRUCTORS
Dr. Charles Antonelli
LSA Technology Services

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

John Thiels
LSA Technology Services

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

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

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

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

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

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

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

Please enroll in Duo before you come to class.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Please note, this session will be recorded.

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

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

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

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

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

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

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

OVERVIEW
This course will cover 4 areas:

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

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

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

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

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

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

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

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

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

Please note, this session will be recorded.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fully virtual. November 10th-11th

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fully virtual. November 10th-11th

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Register: http://myumi.ch/erdzq

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Topics include:

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Introducing the ICPSR Student Data Sandbox!

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

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

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

Register at http://myumi.ch/K43oD

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

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

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

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

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

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

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

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

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

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

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

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

Bio:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Professor, Computer Science, Carnegie Mellon University

Founder, CEO, and Chief Scientist, Petuum Inc.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Abstract:

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

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

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

Bio:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bio:

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

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

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

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bio:

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

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Presentation Mon, 23 Nov 2020 10:00:32 -0500 2021-01-25T16:00:00-05:00 2021-01-25T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Timnit Gebru