Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. ISR CoderSpace with Paul Schulz (October 15, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849190@events.umich.edu Event Begins: Tuesday, October 15, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-10-15T10:00:00-04:00 2019-10-15T11:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (October 16, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849204@events.umich.edu Event Begins: Wednesday, October 16, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-10-16T09:30:00-04:00 2019-10-16T10:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Jule Krüger (October 17, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849219@events.umich.edu Event Begins: Thursday, October 17, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-10-17T14:30:00-04:00 2019-10-17T16:00:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (October 22, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849191@events.umich.edu Event Begins: Tuesday, October 22, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-10-22T10:00:00-04:00 2019-10-22T11:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
CSE Distinguished Lecture (October 22, 2019 5:00pm) https://events.umich.edu/event/68104 68104-17011785@events.umich.edu Event Begins: Tuesday, October 22, 2019 5:00pm
Location: Electrical Engineering and Computer Science Building
Organized By: Computer Science and Engineering Division

Abstract: After more than 30 years in academia researching in the area of AI, as a student and as a faculty, I joined JPMorgan to create and head an AI research group. In this talk, I will present several concrete examples of the projects we are pursuing in engagement with the lines of business. I will focus on areas related to data, learning from experience, explainability, and ethics. I will conclude with a discussion of my current understanding of the transformational impact that AI can have in the future of financial services.

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Lecture / Discussion Mon, 07 Oct 2019 12:01:43 -0400 2019-10-22T17:00:00-04:00 2019-10-22T18:00:00-04:00 Electrical Engineering and Computer Science Building Computer Science and Engineering Division Lecture / Discussion Manuela Veloso
ISR CoderSpace with Erin Ware (October 23, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849205@events.umich.edu Event Begins: Wednesday, October 23, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-10-23T09:30:00-04:00 2019-10-23T10:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Jule Krüger (October 24, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849220@events.umich.edu Event Begins: Thursday, October 24, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-10-24T14:30:00-04:00 2019-10-24T16:00:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (October 29, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849192@events.umich.edu Event Begins: Tuesday, October 29, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-10-29T10:00:00-04:00 2019-10-29T11:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (October 30, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849206@events.umich.edu Event Begins: Wednesday, October 30, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-10-30T09:30:00-04:00 2019-10-30T10:30:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Jule Krüger (October 31, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849221@events.umich.edu Event Begins: Thursday, October 31, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-10-31T14:30:00-04:00 2019-10-31T16:00:00-04:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (November 5, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849193@events.umich.edu Event Begins: Tuesday, November 5, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-11-05T10:00:00-05:00 2019-11-05T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (November 6, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849207@events.umich.edu Event Begins: Wednesday, November 6, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-11-06T09:30:00-05:00 2019-11-06T10:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Jule Krüger (November 7, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849222@events.umich.edu Event Begins: Thursday, November 7, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-11-07T14:30:00-05:00 2019-11-07T16:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (November 12, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849194@events.umich.edu Event Begins: Tuesday, November 12, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-11-12T10:00:00-05:00 2019-11-12T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
MIDAS Annual Symposium (November 14, 2019 8:30am) https://events.umich.edu/event/60625 60625-14928166@events.umich.edu Event Begins: Thursday, November 14, 2019 8:30am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Please register to attend the 2019 U-M Data Science Symposium, with main events on Nov. 14 and 15:

Three external speakers;
18 U-M research talks;
90 posters by U-M research teams, and students and postdocs from >20 universities;
Three Panels: Political Science; Industry Data Science; Data Science for Music;
Student poster competition; Industry-sponsored Data Challenge.
Connect with other attendees by downloading 10Times in the App store and find "MIDAS Annual Symposium".

MIDAS Data Science Annual Symposium livestream.

Day 1
https://media.rackham.umich.edu/rossmedia/Play/0b4a5ccba66b4ad1bd059d2b4a0718e31d

Day 2
https://media.rackham.umich.edu/rossmedia/Play/0881f9d6005a4cc0ac01e7e8ba7cde981d

midas.umich.edu/2019-symposium/

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Workshop / Seminar Thu, 07 Nov 2019 09:35:59 -0500 2019-11-14T08:30:00-05:00 2019-11-14T18:30:00-05:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Workshop / Seminar MIDAS annual symposium
MIDAS Annual Symposium (November 15, 2019 8:30am) https://events.umich.edu/event/60625 60625-14928167@events.umich.edu Event Begins: Friday, November 15, 2019 8:30am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Please register to attend the 2019 U-M Data Science Symposium, with main events on Nov. 14 and 15:

Three external speakers;
18 U-M research talks;
90 posters by U-M research teams, and students and postdocs from >20 universities;
Three Panels: Political Science; Industry Data Science; Data Science for Music;
Student poster competition; Industry-sponsored Data Challenge.
Connect with other attendees by downloading 10Times in the App store and find "MIDAS Annual Symposium".

MIDAS Data Science Annual Symposium livestream.

Day 1
https://media.rackham.umich.edu/rossmedia/Play/0b4a5ccba66b4ad1bd059d2b4a0718e31d

Day 2
https://media.rackham.umich.edu/rossmedia/Play/0881f9d6005a4cc0ac01e7e8ba7cde981d

midas.umich.edu/2019-symposium/

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Workshop / Seminar Thu, 07 Nov 2019 09:35:59 -0500 2019-11-15T08:30:00-05:00 2019-11-15T16:30:00-05:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Workshop / Seminar MIDAS annual symposium
ISR CoderSpace with Paul Schulz (November 19, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849195@events.umich.edu Event Begins: Tuesday, November 19, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-11-19T10:00:00-05:00 2019-11-19T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (November 20, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849209@events.umich.edu Event Begins: Wednesday, November 20, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-11-20T09:30:00-05:00 2019-11-20T10:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Jule Krüger (November 21, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849224@events.umich.edu Event Begins: Thursday, November 21, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-11-21T14:30:00-05:00 2019-11-21T16:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (November 26, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849196@events.umich.edu Event Begins: Tuesday, November 26, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-11-26T10:00:00-05:00 2019-11-26T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (November 27, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849210@events.umich.edu Event Begins: Wednesday, November 27, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-11-27T09:30:00-05:00 2019-11-27T10:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (December 3, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849197@events.umich.edu Event Begins: Tuesday, December 3, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-12-03T10:00:00-05:00 2019-12-03T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Erin Ware (December 4, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849211@events.umich.edu Event Begins: Wednesday, December 4, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-12-04T09:30:00-05:00 2019-12-04T10:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
CivicLEADS: The resource you didn’t know your research needed (webinar) (December 4, 2019 1:00pm) https://events.umich.edu/event/69188 69188-17261063@events.umich.edu Event Begins: Wednesday, December 4, 2019 1:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Civic engagement, civic discourse, and civic education have become increasingly popular research topics in recent years. Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. For the past several years, Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) at ICPSR has been helping researchers share and access high-quality datasets to study civic education and involvement. This free webinar provides information on the collection of publicly-available data archived at CivicLEADS.org as well as use cases of how other researchers are using our resources. As a webinar participant, you will:

• Learn about CivicLEADS and how to access the data and tools the project provides;
• See clear examples of how the tools and resources of CivicLEADS can facilitate and further your own research; and
• Provide feedback to CivicLEADS’s staff on how the project can better support your work.

While CivicLEADS is a resource for all civic education, engagement, and action researchers, early career researchers and graduate students may find this webinar particularly useful.

Did you miss this event? Find it on YouTube: https://youtu.be/g3WSpzntjXw

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Presentation Thu, 05 Dec 2019 12:26:35 -0500 2019-12-04T13:00:00-05:00 2019-12-04T14:00:00-05:00 Off Campus Location Institute for Social Research Presentation Civic Learning, Engagement, and Action Data Sharing (CivicLEADS)
ISR CoderSpace with Jule Krüger (December 5, 2019 2:30pm) https://events.umich.edu/event/67432 67432-16849226@events.umich.edu Event Begins: Thursday, December 5, 2019 2:30pm
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.

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Workshop / Seminar Thu, 19 Dec 2019 11:46:34 -0500 2019-12-05T14:30:00-05:00 2019-12-05T16:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
ISR CoderSpace with Paul Schulz (December 10, 2019 10:00am) https://events.umich.edu/event/67427 67427-16849198@events.umich.edu Event Begins: Tuesday, December 10, 2019 10:00am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

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 modelling, 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.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:55 -0400 2019-12-10T10:00:00-05:00 2019-12-10T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
Webinar: Resources for Gerontological and Social Science Researchers from NACDA (December 11, 2019 2:00pm) https://events.umich.edu/event/69706 69706-17384713@events.umich.edu Event Begins: Wednesday, December 11, 2019 2:00pm
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR will host a webinar Wednesday, December 11, 2019 from 2:00PM - 3:00PM EST discussing the National Archive of Computerized Data on Aging (NACDA) and our resources available to the social science and gerontological research communities.

NACDA, funded by the National Institute on Aging and part of ICPSR, acquires and preserves data relevant to gerontological research, processing as needed to promote effective research use, disseminates them to researchers, and facilitates their use. By preserving and making available the largest library of electronic data on aging in the United States, NACDA offers opportunities for secondary analysis on major issues of scientific and policy relevance. This free webinar provides an overview of the data we have archived within NACDA and will guide users on how to navigate our site, as well as highlight the potential of our longitudinal collections.

As a webinar participant, you will:
- Become familiar with NACDA resources
- Learn how to access the data, deposit data, and about the restricted data application process
- Gain insights into our efforts to enhance access to longitudinal data
- Have the opportunity to provide feedback and ask questions

This webinar is free and open to the public.

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Workshop / Seminar Thu, 21 Nov 2019 15:41:10 -0500 2019-12-11T14:00:00-05:00 2019-12-11T15:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Workshop / Seminar Webinar announcement for Resources for Gerontological and Social Science Researchers from ICPSR featuring a woman eating ice cream at the beach
Air Quality Monitoring Workshop (December 12, 2019 8:00am) https://events.umich.edu/event/69713 69713-17388800@events.umich.edu Event Begins: Thursday, December 12, 2019 8:00am
Location: Lurie Robert H. Engin. Ctr
Organized By: Electrical and Computer Engineering

Emerging Sensor Technologies and Data Analytics for Air Quality Monitoring: A Workshop

Today, poor air quality is linked to over 3 million deaths per year, mostly in large urban areas. The Organization for Economic Co-operation and Development estimates that by 2050, poor air quality may become the largest cause of premature mortality in the world. This workshop will explore current research and practice in order to identify the gaps and limitations, and to prioritize future activities needed to address this challenge of growing global concern.

The workshop features outstanding individuals from industry; the Environmental Protection Agency; the Michigan Department of Environment, Great Lakes, and Energy; University of Cambridge; and University of Michigan, Ann Arbor.

Sponsored by the Center for Wireless Integrated MicroSensing & Systems and the College of Engineering at the University of Michigan, and the Department of Engineering at the University of Cambridge.

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Workshop / Seminar Fri, 22 Nov 2019 11:12:36 -0500 2019-12-12T08:00:00-05:00 2019-12-12T17:15:00-05:00 Lurie Robert H. Engin. Ctr Electrical and Computer Engineering Workshop / Seminar Workshop flyer
ISR CoderSpace with Erin Ware (December 18, 2019 9:30am) https://events.umich.edu/event/67429 67429-16849213@events.umich.edu Event Begins: Wednesday, December 18, 2019 9:30am
Location: Institute For Social Research
Organized By: Center for Political Studies - Institute for Social Research

Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master’s of data science degree program through the School of Information.

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Workshop / Seminar Fri, 01 Nov 2019 10:06:37 -0400 2019-12-18T09:30:00-05:00 2019-12-18T10:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar CoderSpaces at ISR
The Bit Player (January 14, 2020 7:30pm) https://events.umich.edu/event/71071 71071-17774936@events.umich.edu Event Begins: Tuesday, January 14, 2020 7:30pm
Location: Off Campus Location
Organized By: Electrical Engineering and Computer Science

The EECS Department has partnered with the Michigan Theater to screen “The Bit Player,” a film which highlights the contributions of U-M alumnus Claude Shannon (BSE EE and Math, 1936), who introduced the notion of a “bit” and laid the foundation for the information age. Shannon’s ideas continue to ripple through nearly every aspect of modern life, influencing such diverse fields as communication, computing, cryptography, neuroscience, artificial intelligence, cosmology, linguistics, and genetics.

The film is a part of the Michigan Theater's "Science on Screen" series and is sponsored by the EECS Department. The film will be introduced by director Mark A. Levinson and will be followed by a Q&A panel with EECS faculty, Professors Alfred Hero, David Neuhoff, and Chris Peikert.

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Film Screening Wed, 08 Jan 2020 08:51:20 -0500 2020-01-14T19:30:00-05:00 2020-01-14T22:00:00-05:00 Off Campus Location Electrical Engineering and Computer Science Film Screening John Hutton stars as Claude Shannon
University Library Resources Open House (January 16, 2020 12:00pm) https://events.umich.edu/event/70416 70416-17594469@events.umich.edu Event Begins: Thursday, January 16, 2020 12:00pm
Location: Institute For Social Research
Organized By: Institute for Social Research

Explore information services, research tools, and resources offered by the University of Michigan library.

There will be 2 presentations and a variety of other resources available.

PRESENTATIONS:

12:00 - 12:45: Measuring Research Impact
Presenters: Becky Welzenbach, Research Impact Librarian
Judy Smith, Informationist
Tyler Nix, Informationist

1:00 - 1:45: Data Visualization
Presenter: Justin Joque, Visualization Librarian

Resource booths include:

Deep Blue/RDM: Rachel Woodbrook, Data Curation Librarian and Martha Stuit, Repository Assistant
Mapping and GIS: Caroline Kayko, Map & Geospatial Data Librarian
Systematic Reviews: Whitney Townsend, Informationist
NIH Compliance and Open Access: Merle Rosenzweig, Informationist
ISR Information Resources: Yan Fun, Information Resources Manager


Lunch is provided during the presentations for attendees and library participants who RSVP to the presentations.

RSVP is required for this event: https://forms.gle/iC41v4ygK9UNmcTaA

If you require accommodations to attend this event or have any questions please contact Anna Massey at abeattie@umich.edu.

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Other Thu, 09 Jan 2020 16:00:53 -0500 2020-01-16T12:00:00-05:00 2020-01-16T15:00:00-05:00 Institute For Social Research Institute for Social Research Other flyer
CoderSpace with Paul Schulz and Chen Chen (January 21, 2020 10:00am) https://events.umich.edu/event/71672 71672-17853481@events.umich.edu Event Begins: Tuesday, January 21, 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 2020-01-21T10:00:00-05:00 2020-01-21T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
CoderSpace with Armand Burks and Erin Ware (January 22, 2020 10:00am) https://events.umich.edu/event/71673 71673-17853495@events.umich.edu Event Begins: Wednesday, January 22, 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 2020-01-22T10:00:00-05:00 2020-01-22T11:30:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
On Black Technoculture (January 23, 2020 12:00pm) https://events.umich.edu/event/71326 71326-17817094@events.umich.edu Event Begins: Thursday, January 23, 2020 12:00pm
Location: North Quad
Organized By: Digital Studies Institute

Where does Blackness manifest In the ideology of Western technoculture? Technoculture is the American mythos (Dinerstein 2006) and ideology; a belief system powering the coercive, political, and carceral relations between culture and technology. Once enslaved, historically disenfranchised, never deemed literate, Blackness is understood as the object of Western technical and civilizational practices. This presentation is a critical intervention for internet research and science and technology studies (STS), reorienting Western technoculture’s practices of “race-as-technology” (Chun 2009) to visualize Blackness as technological subjects rather than as “things”. Hence, Black technoculture. Utilizing critical technocultural discourse analysis (Brock 2018), Afro-optimism, and libidinal economic theory, this presentation employs Black Twitter as an exemplar of Black cyberculture: digital practice and artifacts informed by a Black aesthetic.

André Brock is an associate professor of media studies at Georgia Tech. His scholarship examines racial representations in videogames, black women and weblogs, whiteness, blackness, and digital technoculture, as well as innovative and groundbreaking research on Black Twitter. His forthcoming book titled Distributed Blackness: African American Cybercultures will be published with NYU Press in February 2020, offering an innovative approach to understanding Black everyday lives mediated by digital technologies.

Free and open to the public, no RSVP required.

FOR REMOTE PARTICIPANTS: Video from this talk will be streamed live. For video, during the event visit this URL: http://umsi.info/black

Hosted by ESC: The Center for Ethics, Society, and Computing.
This event is co-sponsored by the Digital Studies Institute.

This lecture is generously supported by the School of Information; the Center for Political Studies at the Institute for Social Research; and the Department of Communication & Media in the College of Literature, Science, and the Arts at the University of Michigan.

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Lecture / Discussion Mon, 13 Jan 2020 09:45:44 -0500 2020-01-23T12:00:00-05:00 2020-01-23T13:00:00-05:00 North Quad Digital Studies Institute Lecture / Discussion andre
CoderSpace with Yuki Shiraito and Jule Krüger (January 23, 2020 4:30pm) https://events.umich.edu/event/71674 71674-17853509@events.umich.edu Event Begins: Thursday, January 23, 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 2020-01-23T16:30:00-05:00 2020-01-23T18:00:00-05:00 Institute For Social Research Center for Political Studies - Institute for Social Research Workshop / Seminar Winter 2020 CoderSpaces
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/

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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!

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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/

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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/

]]>
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/

]]>
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.

]]>
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