Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. MPSDS JPSM Seminar Series - The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD (January 20, 2023 2:00pm) https://events.umich.edu/event/103756 103756-21807773@events.umich.edu Event Begins: Friday, January 20, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
February 1, 2023
12:00 - 1:00 EST

The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD

Abstract

Recently nationwide consortiums of multiple research sites have conducted multi-modal, longitudinal cohort studies and provided unprecedented data sources for population science research. For example, the Adolescent Brain Cognitive Development (ABCD) Study has collected data from 11,880 children ages 9-10 across 21 U.S. research sites, as the largest long-term study of brain development and child health; and the Healthy Brain and Child Development (HBCD) Study will enroll 7,500 pregnant women across 25 research sites and follow them from pregnancy through early childhood, as the largest long-term study of early brain and child development in the U.S. Both studies aim to reflect the sociodemographic diversity of the target population to enable characterization of natural variability and trajectories. Without probability sampling as the touchstone for randomization-based inferences, the data quality and analysis validity require rigorous evaluations and potentially rely on untestable assumptions. The data collection process also presents various challenges during practical operation.

In this talk, I look into both inference and design schemes to study the impact of data collection on population science. First, using the ABCD study as an example of secondary data analysis, I discuss inference approaches focusing on multilevel regression and poststratification for population generalizability and latent subgroup detection for population heterogeneity in brain activity and association studies. Second, I introduce the HBCD study design. HBCD also aims to include individuals demographically and behaviorally similar to those in the substance exposure group, but without exposure, to enable valid causal inference in a non-experimental study design. I discuss our proposed weighting, matching, and modeling strategies to leverage analysis goals to inform the design and dashboard monitoring for adaptive sample enrollment.

Bio

Yajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Fri, 20 Jan 2023 14:51:50 -0500 2023-01-20T14:00:00-05:00 2023-01-20T15:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD (January 20, 2023 2:00pm) https://events.umich.edu/event/103756 103756-21807774@events.umich.edu Event Begins: Friday, January 20, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
February 1, 2023
12:00 - 1:00 EST

The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD

Abstract

Recently nationwide consortiums of multiple research sites have conducted multi-modal, longitudinal cohort studies and provided unprecedented data sources for population science research. For example, the Adolescent Brain Cognitive Development (ABCD) Study has collected data from 11,880 children ages 9-10 across 21 U.S. research sites, as the largest long-term study of brain development and child health; and the Healthy Brain and Child Development (HBCD) Study will enroll 7,500 pregnant women across 25 research sites and follow them from pregnancy through early childhood, as the largest long-term study of early brain and child development in the U.S. Both studies aim to reflect the sociodemographic diversity of the target population to enable characterization of natural variability and trajectories. Without probability sampling as the touchstone for randomization-based inferences, the data quality and analysis validity require rigorous evaluations and potentially rely on untestable assumptions. The data collection process also presents various challenges during practical operation.

In this talk, I look into both inference and design schemes to study the impact of data collection on population science. First, using the ABCD study as an example of secondary data analysis, I discuss inference approaches focusing on multilevel regression and poststratification for population generalizability and latent subgroup detection for population heterogeneity in brain activity and association studies. Second, I introduce the HBCD study design. HBCD also aims to include individuals demographically and behaviorally similar to those in the substance exposure group, but without exposure, to enable valid causal inference in a non-experimental study design. I discuss our proposed weighting, matching, and modeling strategies to leverage analysis goals to inform the design and dashboard monitoring for adaptive sample enrollment.

Bio

Yajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

]]>
Lecture / Discussion Fri, 20 Jan 2023 14:51:50 -0500 2023-01-20T14:00:00-05:00 2023-01-20T15:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
Privacy@Michigan: Child Safety in the Smart Home (February 8, 2023 12:00pm) https://events.umich.edu/event/104342 104342-21808844@events.umich.edu Event Begins: Wednesday, February 8, 2023 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The adoption of home devices connected to the internet is growing and so are concerns about child physical and digital safety and privacy in the smart home. The U-M community is invited to join us on Zoom for a presentation and Q&A with Kaiwen Sun, U-M School of Information Ph.D. student, as she explores the discrepancies between marketing depictions and device features, and discusses considerations for keeping children safe in the smart home.

Kaiwen Sun’s research focuses on the intersection of children’s privacy and safety and understanding parents’ perceptions and behaviors around privacy and safety in the context of smart home technologies.

This event is open to the U-M community (umich login required) and will be especially relevant to parents, grandparents, guardians, and others who interact with children in their homes.

Zoom link: https://umich.zoom.us/j/99704278354?pwd=ejJzL2NDNDhPVHkwM3pobHUxVXREdz09

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Livestream / Virtual Wed, 08 Feb 2023 10:08:51 -0500 2023-02-08T12:00:00-05:00 2023-02-08T13:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Livestream / Virtual Privacy at Michigan - Child Safety in the Smart Home Presentation and Q and A
Love Data Week 2023 (February 13, 2023 8:00am) https://events.umich.edu/event/92579 92579-21692650@events.umich.edu Event Begins: Monday, February 13, 2023 8:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Save the date! Love Data Week takes place February 13-17, 2023. Sign up for email announcements and more: https://myumi.ch/ICPSRlovedata23

Join the conversation on social media! Use #LoveData23

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Other Fri, 18 Feb 2022 13:55:54 -0500 2023-02-13T08:00:00-05:00 2023-02-13T18:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Other Love Data Week 2023 save the date
Love Data Week 2023 (February 14, 2023 8:00am) https://events.umich.edu/event/92579 92579-21692651@events.umich.edu Event Begins: Tuesday, February 14, 2023 8:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Save the date! Love Data Week takes place February 13-17, 2023. Sign up for email announcements and more: https://myumi.ch/ICPSRlovedata23

Join the conversation on social media! Use #LoveData23

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Other Fri, 18 Feb 2022 13:55:54 -0500 2023-02-14T08:00:00-05:00 2023-02-14T18:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Other Love Data Week 2023 save the date
Love Data Week 2023 (February 15, 2023 8:00am) https://events.umich.edu/event/92579 92579-21692652@events.umich.edu Event Begins: Wednesday, February 15, 2023 8:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Save the date! Love Data Week takes place February 13-17, 2023. Sign up for email announcements and more: https://myumi.ch/ICPSRlovedata23

Join the conversation on social media! Use #LoveData23

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Other Fri, 18 Feb 2022 13:55:54 -0500 2023-02-15T08:00:00-05:00 2023-02-15T18:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Other Love Data Week 2023 save the date
Love Data Week 2023 (February 16, 2023 8:00am) https://events.umich.edu/event/92579 92579-21692653@events.umich.edu Event Begins: Thursday, February 16, 2023 8:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Save the date! Love Data Week takes place February 13-17, 2023. Sign up for email announcements and more: https://myumi.ch/ICPSRlovedata23

Join the conversation on social media! Use #LoveData23

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Other Fri, 18 Feb 2022 13:55:54 -0500 2023-02-16T08:00:00-05:00 2023-02-16T18:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Other Love Data Week 2023 save the date
Love Data Week 2023 (February 17, 2023 8:00am) https://events.umich.edu/event/92579 92579-21692654@events.umich.edu Event Begins: Friday, February 17, 2023 8:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

Save the date! Love Data Week takes place February 13-17, 2023. Sign up for email announcements and more: https://myumi.ch/ICPSRlovedata23

Join the conversation on social media! Use #LoveData23

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Other Fri, 18 Feb 2022 13:55:54 -0500 2023-02-17T08:00:00-05:00 2023-02-17T18:00:00-05:00 Off Campus Location Inter-university Consortium for Political and Social Research Other Love Data Week 2023 save the date
TikTok, Boom Virtual Film Screening (March 6, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813016@events.umich.edu Event Begins: Monday, March 6, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

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Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-06T00:00:00-05:00 2023-03-06T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 7, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813017@events.umich.edu Event Begins: Tuesday, March 7, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

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Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-07T00:00:00-05:00 2023-03-07T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 8, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813018@events.umich.edu Event Begins: Wednesday, March 8, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

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Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-08T00:00:00-05:00 2023-03-08T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
MPSDS JPSM Seminar Series - Network Size: Measurement and Errors (March 8, 2023 12:00pm) https://events.umich.edu/event/104021 104021-21808283@events.umich.edu Event Begins: Wednesday, March 8, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
March 8, 2023
12:00 - 1:00 EST

Abstract
Respondent driven sampling (RDS) is a sampling method that leverages the respondents' networks to reach more members of the target population. In RDS, the size of the respondents' social network (also known as personal network size (PNS), or respondent's degree) is important in both the study operations and in estimation. A commonly used estimation of degree is the self-reported data from the interview, which typically has substantial measurement error, and, specifically, is found to be frequently rounded to a multiple of five. Measurement error in the PNS can introduce biased estimates for RDS, especially if the misreporting of the degree is associated with the outcome to be estimated.

This brown bag will present two related studies on the measurement of PNS. The first study uses two sets of data; 1) semi-structured in-depth interviews conducted over Zoom with 19 adult respondents of various ages, gender identities (transgender, nonbinary, cisgender), race, and sexual orientations (gay, lesbian, bi), 2) an RDS web survey targeting the adult LGBT population (n = 394). Thematic analysis conducted on the semi-structured interview transcripts showed a large variation in how respondents define "knowing" someone; for some respondents, it covers a larger network than the "recruitable" network (the network of people respondents are likely to think of recruiting to an RDS study). Meanwhile, the web-RDS shows that the more restrictive PNS questions yielded more realistic ranges for a "recruitable" network, with less proportion of rounded responses on the more restrictive PNS questions.

Motivated by the desire to improve the degree estimation in RDS, the second study presents a latent variable model to make inferences about participants’ actual degrees and potential reporting behaviors. Specifically, individual-level degree estimation will be obtained by revealing the association between the actual degree and relevant personal characteristics and blending their response to “How many [a particular sub-population] do you know in the target population?” Simulation studies demonstrate that the proposed method delivers sensible estimations about the individual degree.

Bios
Ai Rene Ong works at American Institutes for Research (AIR) as a Researcher/Survey Methodologist in the area of Education Statistics. She graduated with a PhD in Survey Methodology from the University of Michigan in 2022. Her dissertation research was on the measurement of network size and the mechanism of peer recruitment in Respondent Driven Sampling — a sampling method typically used for hard-to-sample populations.

Yibo Wang is a 3rd year Ph.D. candidate from the department of Biostatistics. She is now working with Dr. Sunghee Lee and Dr. Michael Elliott on measurement estimation in Respondent Driven Sampling

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Wed, 25 Jan 2023 14:08:47 -0500 2023-03-08T12:00:00-05:00 2023-03-08T13:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
TikTok, Boom Virtual Film Screening (March 9, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813019@events.umich.edu Event Begins: Thursday, March 9, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-09T00:00:00-05:00 2023-03-09T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 10, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813020@events.umich.edu Event Begins: Friday, March 10, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-10T00:00:00-05:00 2023-03-10T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 11, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813021@events.umich.edu Event Begins: Saturday, March 11, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-11T00:00:00-05:00 2023-03-11T23:59:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 12, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813022@events.umich.edu Event Begins: Sunday, March 12, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-12T00:00:00-05:00 2023-03-12T23:59:00-04:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 13, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813023@events.umich.edu Event Begins: Monday, March 13, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-13T00:00:00-04:00 2023-03-13T23:59:00-04:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 14, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813024@events.umich.edu Event Begins: Tuesday, March 14, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

]]>
Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-14T00:00:00-04:00 2023-03-14T23:59:00-04:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
TikTok, Boom Virtual Film Screening (March 15, 2023 12:00am) https://events.umich.edu/event/105817 105817-21813025@events.umich.edu Event Begins: Wednesday, March 15, 2023 12:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Dissonance Event Series is proud to present viewing and discussion of TikTok, Boom, another film from Women Make Movies. Directed by Shalini Kantayya and nominated for the Grand Jury Prize at the 2022 Sundance Film Festival, TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

Dissonance will host a conversation with filmmaker Shalini Kantayya and a panel of U-M faculty and students on March 16 at 11 a.m. (https://events.umich.edu/event/104991)

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ
Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com/

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Film Screening Mon, 06 Mar 2023 18:18:22 -0500 2023-03-15T00:00:00-04:00 2023-03-15T23:59:00-04:00 Off Campus Location Information and Technology Services (ITS) Film Screening TikTok, Boom logo on black background with Sundance festival 2022 selection logo
MPSDS JPSM Seminar Series - How to ask for consent to data linkage: Things we’ve learnt (March 15, 2023 12:00pm) https://events.umich.edu/event/104312 104312-21808815@events.umich.edu Event Begins: Wednesday, March 15, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
March 15, 2023
12:00 - 1:00 EST

The Zoom call will be locked 10 minutes after the start of the presentation.

Annette Jäckle is Professor of Survey Methodology at the Institute for Social and Economic Research at the University of Essex, UK and Associate Director of Innovations and Co-Investigator of the UK Household Longitudinal Study: Understanding Society. Her research interests are in methodology of data collection for longitudinal studies, mixed mode data collection, questionnaire design, respondent consent to data linkage, and new ways of using mobile devices for survey data collection.

Abstract
Data linkage usually requires informed consent of respondents, whether for legal or ethical reasons. A common problem is that when consent questions are asked in self-completion surveys, respondents are much less likely to consent than when they are asked for consent in interviewer administered surveys. In the existing literature, predictors of consent are mostly inconsistent, between studies, but also between different consents asked within one study. In addition, experiments with the wording of consent questions have often had no or inconsistent effects. Why is this? And what can be done to increase informed consent to data linkage? This presentation provides an overview of what we have learnt from qualitative in-depth interviews and a series of experiments implemented in two UK probability household panels (the Understanding Society Innovation Panel and COVID-19 study) and in the UK PopulusLive online access panel. We address the following questions. (1) How do respondents decide whether to consent to data linkage? (2) Why are respondents less likely to consent in web than CAPI surveys? (3) How best to ask for multiple consents within a survey? (4) Which wording and formats affect informed consent and why? We end the overview with a summary of the practical implications for how best to ask for consent to data linkage.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Wed, 15 Mar 2023 08:14:34 -0400 2023-03-15T12:00:00-04:00 2023-03-15T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - Assessing Cross-Cultural Comparability of Self-Rated Health and Its Conceptualization through Web Probing (April 5, 2023 12:00pm) https://events.umich.edu/event/103497 103497-21807352@events.umich.edu Event Begins: Wednesday, April 5, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
April 5, 2022
12:00 - 1:00 EST

Stephanie Morales is a second-year Ph.D. student at the University of Michigan's Program in Survey and Data Science. She holds a BA in Psychology and an MA in Sociology. She is interested in cross-cultural surveys, measurement error in data collection with racial/ethnic minorities, and adaptive survey design.

Assessing Cross-Cultural Comparability of Self-Rated Health and Its Conceptualization through Web Probing

Self-rated health (SRH) is a widely used question across different fields, as it is simple to administer yet has been shown to predict mortality. SRH asks respondents to rate their overall health typically using Likert-type response scales (i.e., excellent, very good, good, fair, poor). Although SRH is commonly used, few studies have examined its conceptualization from the respondents’ point of view and even less so for differences in its conceptualization across diverse populations. We aim to assess the comparability of SRH across different cultural groups by investigating the factors that respondents consider when responding to the SRH question. We included an open-ended probe asking what respondents thought when responding to SRH in web surveys conducted in five countries: Great Britain, Germany, the U.S., Spain, and Mexico. In the U.S., we targeted six racial/ethnic and linguistic groups: English-dominant Koreans, Korean-dominant Koreans, English-dominant Latinos, Spanish-dominant Latinos, non-Latino Black Americans, and non-Latino White Americans. One novelty of our study is allowing multiple attribute codes (e.g., health behaviors, illness) per respondent and tone (e.g., in the direction of positive or negative health or neutral) of the probing responses for each attribute, allowing us 1) to assess respondents’ thinking process holistically and 2) to examine whether and how respondents mix attributes. Our study compares the number of reported attributes and tone by cultural groups and integrates SRH responses in the analysis. This study aims to provide a deeper understanding of SRH by revealing the cognitive processes among diverse populations and is expected to shed light on its cross-cultural comparability.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Mon, 16 Jan 2023 17:00:12 -0500 2023-04-05T12:00:00-04:00 2023-04-05T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - Everything You Need to Know When Utilizing Probability Panels: Best Practices in Planning, Fielding, and Analysis (September 27, 2023 12:00pm) https://events.umich.edu/event/112696 112696-21829462@events.umich.edu Event Begins: Wednesday, September 27, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS SEMINAR SERIES
September 27, 2023
12:00 - 1:00 pm

IN PERSON AND VIA ZOOM
- In person, room 1070 Institute for Social Research.
- Via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.

EVERYTHING YOU NEED TO KNOW WHEN UTILIZING PROBABILITY PANELS: BEST PRACTICES IN PLANNING, FIELDING, AND ANALYSIS

Speakers: David Dutwin & Ipek Bilgen

Probability-based panel survey research is more widespread than ever, as the continuing decline in survey response rates makes cross-sectional sample surveys less and less accessible both in terms of fit for purpose data quality and cost. The attraction of probability panels for surveys is their ability to attain, dependent upon their recruiting methods, comparable response rates to cross-section polls, but at a lower cost and more expeditious execution. Panels are a unique type of survey research platform: Unlike cross-sections, panels recruit respondents specifically for future participation in surveys. In return, panelists are financially compensated, typically to join the panel in the first place, and then secondarily for each survey in which they participate.

These differences to cross-sectional surveys have a range of potential implications. How does the method and effort of recruiting impact who joins, and as a consequence what is best practice? What do panels do to retain panelists over time and which strategies are more successful than others? How much of a concern is panel conditioning, that is, the impact of persons repetitively taking surveys over time, and what are the implications for how frequently panelists should take surveys? How do panels, which exclusively request that panelists take surveys on the Internet, deal with people who do not have or are not comfortable using the Internet? What is the impact of panelist attrition and what are best efforts to replenish retired panelists? How successful are panels are executing true longitudinal surveys? And, given the additional layers of complexity, how are panel surveys properly weighted and estimated?

This seminar is meant to serve two purposes. First, it will serve as a guide for consumers of probability-based panels to understand what, in short, they are working with: What questions to ask and what features to understand about probability panels in evaluating their use for data collections, and how to best use probability-based panel data. Second, it will serve as an exploration of best practices for the practitioners of surveys: Raising issues of data quality, cost, and execution.

Learning Objectives:

1. For consumers of panel data: Understanding the features of panels with which to be knowledgeable; to know the important questions to ask panel vendors when assessing their fit for purpose of your research.
2. For researchers and practitioners: To understand the many dimensions and decision points in the building, maintenance, deployment, and delivery of multi-client panels and panel data.

Bios:

David Dutwin, PhD, is Senior Vice President for Strategic Initiatives, Business Ventures and Initiatives and Chief Scientist of AmeriSpeak at NORC at the University of Chicago. David provides scientific and programmatic thought leadership in support of NORC’s ongoing innovations. In addition to identifying new business opportunities, he lends expertise on research design conceptualization, methodological innovation, and product development. He leads the panel operations and the statistics and methods divisions of AmeriSpeak. David assists in NORC strategic vision and strategy, project acquisition and management of advance research methods. Prior research has focused on election methodology, surveying of low-incidence populations, the use of big data in survey research, and data quality in survey panels. He is a senior fellow of the Program for Opinion Research and Election Studies at the University of Pennsylvania. An avid member of the AAPOR community, David served as president from 2018-2019. He previously served on AAPOR’s Executive Council as conference chair and has served full terms on several committees. For over twenty years, he has taught courses in survey research and design, political polling, research methods, rhetorical theory, media effects, and other courses as an adjunct professor at the University of Pennsylvania, the University of Arizona, and West Chester University.

Ipek Bilgen, PhD, is a Principal Research Methodologist in the Methodology and Quantitative Social Sciences Department at NORC at the University of Chicago. Ipek is the Deputy Director of NORC’s Center for Panel Survey Sciences. Additionally, she oversees AmeriSpeak’s methodological research and innovations. As part of her role within AmeriSpeak, she also provides survey design expertise, questionnaire development and review support, and leads cognitive interview and usability testing efforts for client studies. Ipek received both her Ph.D. and M.S. from the Survey Research and Methodology (SRAM) Program at the University of Nebraska-Lincoln. She has published and co-authored articles in Journal of Official Statistics, Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Survey Practice, Social Currents, Social Science Computer Review, Field Methods, Journal of Quantitative Methods, SAGE Research Methods, and Quality and Quantity on issues related to interviewing methodology, web surveys, online panels, internet sampling and recruitment approaches, nonresponse and measurement issues in surveys. In the past, she has served on AAPOR’s and MAPOR’s Executive Councils. Ipek is currently teaching at the Irving B. Harris Graduate School of Public Policy Studies at the University of Chicago and serving as Associate Editor of Public Opinion Quarterly (POQ).

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Lecture / Discussion Tue, 19 Sep 2023 15:29:30 -0400 2023-09-27T12:00:00-04:00 2023-09-27T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
ICPSR Biennial Meeting: Next Gen ICPSR (October 4, 2023 9:00am) https://events.umich.edu/event/103800 103800-21807860@events.umich.edu Event Begins: Wednesday, October 4, 2023 9:00am
Location:
Organized By: Inter-university Consortium for Political and Social Research

We host this Biennial Meeting as part of the Consortium's collective mission to advance science. This event will support that mission via training and information-sharing in the areas of data curation and data management, research and classroom data resources, and data education opportunities to help data-driven individuals.

This event serves as an opportunity for researchers, teaching faculty, librarians, policymakers, students, data professionals, journalists, and more to virtually gather and share ideas that will aid us as a data community to deliver greater research impact.

There are no registration fees for this event.

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Conference / Symposium Sat, 21 Jan 2023 13:15:15 -0500 2023-10-04T09:00:00-04:00 2023-10-04T17:00:00-04:00 Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Biennial Meeting 2023 Save the Date
MPSDS JPSM Seminar Series - Using Partially Synthetic Frames to Evaluate Alternative Sample Designs for Estimating a Rare Business Characteristic (October 4, 2023 1:00pm) https://events.umich.edu/event/113114 113114-21830116@events.umich.edu Event Begins: Wednesday, October 4, 2023 1:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 4, 2023
12:00 - 1:00 pm EDT

In person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.

Using Partially Synthetic Frames to Evaluate Alternative Sample Designs for Estimating a Rare Business Characteristic

Katherine Jenny Thompson, U.S. Census Bureau
Hang Joon Kim (University of Cincinnati)
Stephen Kaputa (U.S. Census Bureau)

In the “traditional'” finite population sampling framework, the sample designer has a complete list (frame) of eligible units with classification information and auxiliary variables related to surveyed characteristics. In our setting, the frame auxiliary variables are weakly related to the survey characteristic, which is not present for most units. Hence, using frame auxiliary variables to assess survey design efficacy can be misleading. Instead, we propose generating multiple partially synthetic frames, modeling characteristic values for each unit on the frame, then drawing repeated samples from each synthetic frame using the candidate sample design(s) to assess finite sample performance for each design within and between the synthetic frames. Focusing on establishment survey data, we illustrate our proposed approach on a subset of industries surveyed annually by the Business Enterprise Research and Development Survey.

Katherine Jenny Thompson is the Senior Mathematical Statistician in the Economic Directorate of the Census Bureau. Jenny holds a masters of science degree in Applied Statistics from the George Washington University and an bachelor or arts degree in Mathematics from Oberlin College. She is an American Statistical Association (ASA) Fellow, an elected member of the International Statistics Institute, and the Vice President Elect of the ASA. She is the Survey Statistics Editor-in-Chief of the Journal of Survey Statistics and Methodology and an Associate Editor for the Journal of Official Statistics. She has published papers on a variety of topics related to complex surveys in several journals, including the Journal of Official Statistics, Journal of the Royal Statistical Society (Series A), Survey Methodology, Annals of Applied Statistics, International Statistical Review, Journal of Survey Sampling and Methodology, and Public Opinion Quarterly.

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Lecture / Discussion Tue, 26 Sep 2023 13:43:03 -0400 2023-10-04T13:00:00-04:00 2023-10-04T14:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
ICPSR Biennial Meeting: Next Gen ICPSR (October 5, 2023 9:00am) https://events.umich.edu/event/103800 103800-21807861@events.umich.edu Event Begins: Thursday, October 5, 2023 9:00am
Location:
Organized By: Inter-university Consortium for Political and Social Research

We host this Biennial Meeting as part of the Consortium's collective mission to advance science. This event will support that mission via training and information-sharing in the areas of data curation and data management, research and classroom data resources, and data education opportunities to help data-driven individuals.

This event serves as an opportunity for researchers, teaching faculty, librarians, policymakers, students, data professionals, journalists, and more to virtually gather and share ideas that will aid us as a data community to deliver greater research impact.

There are no registration fees for this event.

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Conference / Symposium Sat, 21 Jan 2023 13:15:15 -0500 2023-10-05T09:00:00-04:00 2023-10-05T17:00:00-04:00 Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Biennial Meeting 2023 Save the Date
ICPSR Biennial Meeting: Next Gen ICPSR (October 6, 2023 9:00am) https://events.umich.edu/event/103800 103800-21807862@events.umich.edu Event Begins: Friday, October 6, 2023 9:00am
Location:
Organized By: Inter-university Consortium for Political and Social Research

We host this Biennial Meeting as part of the Consortium's collective mission to advance science. This event will support that mission via training and information-sharing in the areas of data curation and data management, research and classroom data resources, and data education opportunities to help data-driven individuals.

This event serves as an opportunity for researchers, teaching faculty, librarians, policymakers, students, data professionals, journalists, and more to virtually gather and share ideas that will aid us as a data community to deliver greater research impact.

There are no registration fees for this event.

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Conference / Symposium Sat, 21 Jan 2023 13:15:15 -0500 2023-10-06T09:00:00-04:00 2023-10-06T17:00:00-04:00 Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Biennial Meeting 2023 Save the Date
MPSDS JPSM Seminar Series - New data, new questions, old problems? Online behavioral data in social science research (October 11, 2023 12:00pm) https://events.umich.edu/event/113445 113445-21831024@events.umich.edu Event Begins: Wednesday, October 11, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 11, 2023
12:00 - 1:00 pm EDT

In person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.

New data, new questions, old problems? Online behavioral data in social science research

Records of individuals’ online activities obtained from devices like personal computers and smartphones have received a lot of interest in the social sciences in recent years. Many have praised such data for allowing fine-grained observations of individuals’ online activities which would be impossible with more traditional data sources such as surveys. Recent work, however, warns that many data quality aspects of these novel data are so far poorly under- stood. As the number of observations can quickly reach several millions, researchers seem tempted to treat online behavioral data as gold standard, ignore what their data may be missing, and which other systematic biases may be present. In this talk, I present both applied and methodological work using online behavioral data in a typical social science setting. First, using within-between random effects models, I show how online behavioral data combined with a panel survey allows us to understand the effects of news media consumption from populist alternative news platforms on individuals’ political attitudes. Second, I show that online behavioral data, although containing detailed records of individuals’ social media use, are far from being complete. Using hidden Markov models, combined online behavioral data, survey records, and donated social media data, I show that the online behavioral data seem to completely fail in capturing social media use for about one third of the sample. I emphasize the need for researchers to navigate the complexities of online behavioral data, highlighting potentials and limitations.

Ruben Bach is a Research Fellow at the Mannheim Centre for European Social Research, University of Mannheim, Germany. His research is concerned with data quality in social science data products and applied computational social science (media consumption, political attitudes, socially responsible AI). In the fall of 2023, he is a visitor with the Department of Statistics and Actuarial Science, University of Waterloo, Ontario.

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Lecture / Discussion Tue, 10 Oct 2023 12:29:09 -0400 2023-10-11T12:00:00-04:00 2023-10-11T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - Implementing and Adjusting a Non-probability Web Survey: Experiences of EVENs (Survey on the Impact of COVID19 on Ethnic Minorities in the United Kingdom) (October 18, 2023 12:00pm) https://events.umich.edu/event/113847 113847-21831814@events.umich.edu Event Begins: Wednesday, October 18, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 11, 2023
12:00 - 1:00 pm EDT

In person, room 1070 Institute for Social Research and via Zoom.
The Zoom call will be locked 10 minutes after the start of the presentation.

Implementing and Adjusting a Non-probability Web Survey: Experiences of EVENs (Survey on the Impact of COVID19 on Ethnic Minorities in the United Kingdom)

Natalie Shlomo
Professor of Social Statistics, University of Manchester

This is joint work with Andrea Aparcio-Castro, Daniel Ellingworth, Angelo Moretti, Harry Taylor, Nissa Finney and James Nazroo

We discuss the challenges of implementing and adjusting a large-scale non-probability web survey. For the application, we focus on the 2021 Evidence for Equality National Survey (EVENS) which was led by the Centre on Dynamics of Ethnicity (CoDE) at the University of Manchester in the United Kingdom, in partnership with Ipsos-MORI. The aim was to understand the impact of the COVID19 pandemic on ethnic and religious minority groups in the UK. Standard probability-based surveys, even with ethnic minority group boosts, do not have the sample sizes required to obtain reliable estimates for small group statistics. We therefore designed a non-probability web survey of ethnic minority groups to overcome these limitations. We formed partnerships with community organizations and used innovative recruitment strategies, including digital and social media. Daily monitoring of the data collection against desired sample sizes and R-indicator calculations allowed the team to focus attention on the recruitment of specific groups in a responsive data collection mode. We also supplemented the sample with existing members in both established non-probability and probability-based panels in the UK. We describe the measures applied to improve the quality of the collected data and the statistical adjustments to correct for selection and coverage biases based on estimating the probability of participation in the non-probability sample using combined probability reference samples followed by calibration to auxiliary information from the UK Census 2021. We demonstrate how a pseudo-population bootstrap approach can be designed to obtain bootstrap weights to allow for statistical analyses and inference.

Natalie Shlomo is Professor of Social Statistics at the University of Manchester and publishes widely in the area of survey statistics, including small area estimation, adaptive survey designs, non-probability sampling, confidentiality and privacy, data linkage and integration. She has over 70 publications and refereed book chapters and a track record of generating external funding for her research. She is an elected member of the International Statistical Institute (ISI), a fellow of the Royal Statistical Society, a fellow of the Academy of Social Sciences and President 2023-2025 of the International Association of Survey Statisticians. She also serves on national and international Methodology Advisory Boards at National Statistical Institutes.

Homepage: https://www.research.manchester.ac.uk/portal/natalie.shlomo.html

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Lecture / Discussion Wed, 11 Oct 2023 14:15:21 -0400 2023-10-18T12:00:00-04:00 2023-10-18T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
STS Speaker Series. Count me in: how quantification shapes knowledge politics in contemporary higher education (October 23, 2023 4:00pm) https://events.umich.edu/event/113036 113036-21829950@events.umich.edu Event Begins: Monday, October 23, 2023 4:00pm
Location: Tisch Hall
Organized By: Science, Technology & Society

How is knowledge organized in higher education? In recent decades, the adoption of market-oriented logics within institutions of research and higher education had notable implications on how the pursuit of knowledge is shaped and rewarded. As documented by a number of authors, for example, the "commercialization of science" had consequences on the quality of knowledge produced in particular research setting. Backed by distinct cultures of quantification and tied to concrete devices measurement and commensuration, the broader audit cultures that embed modern research effectively shape what we know and can know. In this talk, I explore instances of these cultures by looking into the role of research assessments and budget models as mechanisms for shaping and regulating how universities structure their instructional and research operations. Focusing on recent models of research evaluation and budgeting, this talk shows how several techniques of quantification become important for implementing change in higher education with long-lasting consequences for the distribution of knowledge, the organization of the sciences, and the structure of the public sphere.

Juan Pablo Pardo-Guerra is an Associate Professor in Sociology at the University of California, San Diego and Director of the Latin American Studies Program. He is author of Automating Finance: Infrastructures, Engineers, and the Making of Electronic Markets (2019), and The Quantified Scholar: How Research Evaluations Transformed the British Social Sciences (2022).

Cosponsors: Center for Ethics, Society & Computing, ISR, Department of Sociology

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Lecture / Discussion Tue, 17 Oct 2023 16:09:21 -0400 2023-10-23T16:00:00-04:00 2023-10-23T17:30:00-04:00 Tisch Hall Science, Technology & Society Lecture / Discussion Prof. Pardo-Guerra
MPSDS JPSM Seminar Series - Investigating the quality of digital trace and data donation (October 25, 2023 12:00pm) https://events.umich.edu/event/114041 114041-21832242@events.umich.edu Event Begins: Wednesday, October 25, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 25, 2023
12:00 - 1:00 pm EDT

In person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.

Investigating the quality of digital trace and data donation

Challenges to traditional survey data collection such as increased costs and decreasing non-response are leading survey researchers to explore new forms of data. Recently, two types of data have received increased focus as a possible replacements or enhancements of surveys: digital trace data and data donation. Digital trace data refers to data produced while individuals interact with digital platforms, such as apps and websites. Data donation, on the other hand, refers to the acquisition of data from online platforms, such as Facebook or Google, directly from users. In a recent study we use an experimental design in a non-probability panel in Germany to explore non-response bias in data donated from Facebook as well measurement error in digital trace data from PCs and mobile phones.

Alexandru Cernat is an associate professor in the social statistics department at the University of Manchester. He has a PhD in survey methodology from the University of Essex and was a post-doc at the National Centre for Research Methods and the Cathie Marsh Institute. His research and teaching focus on: survey methodology, longitudinal data, measurement error, latent variable modelling, new forms of data and missing data. You can find out more about him and his research at: www.alexcernat.com

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Lecture / Discussion Mon, 16 Oct 2023 14:39:03 -0400 2023-10-25T12:00:00-04:00 2023-10-25T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - Flexible Formal Privacy for Public Data Curation (November 1, 2023 12:00pm) https://events.umich.edu/event/114344 114344-21832762@events.umich.edu Event Begins: Wednesday, November 1, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
November 1, 2023
12;00 - 1:00 pm EDT

In person, room 1070 Institute for Social Research, and via Zoom.
The Zoom call will be locked 10 minutes after the start of the presentation.

Flexible Formal Privacy for Public Data Curation

Researchers rely extensively on public datasets disseminated by official statistics agencies, universities, non-governmental organizations, and other data curators. With the increasing availability of data and computing power comes increased threats to privacy, as published statistics can more easily be used to reconstruct sensitive personal data. Formal privacy (FP) methods, like differential privacy (DP), provably limit such information leakage by injecting carefully chosen randomized noise into published statistics. However, the way DP accounts for privacy degradation requires this noise be injected into every statistic dependent on the confidential dataset. This fails to reflect data curator needs, social, legal or ethical requirements, and complex dependency structures between public and confidential datasets. In this talk, I'll discuss statistical methodology that addresses these problems. We propose a FP framework with novel characterizations of disclosure risk when assessing collections of statistics wherein only some statistics are published with DP guarantees. We demonstrate FP properties maintained by our proposed framework, propose data release mechanisms which satisfy our proposed definition, and prove the optimality properties of downstream statistical estimators based on these mechanism outputs. For this talk, I'll discuss a few end-to-end data analysis examples in public health and surveys, showing how theoretical trade-offs between privacy, utility, and computation time manifest in practice when assessing disclosure risks and statistical utility. I'll conclude with a discussion on the implications of this work for survey researchers, focusing on opportunities to incorporate privacy by design in survey planning, experimental design, and other data collection operations.

Jeremy Seeman is a Michigan Data Science Fellow at the Michigan Institute for Data Science (MIDAS) and MPSDS. He recently graduated with his PhD in statistics from Penn State University. Jeremy's research focuses on statistical data privacy, quantitative methods in the social sciences, and social values in data governance. He is the recipient of the U.S Census Bureau Dissertation Fellowship and the ASA Pride Scholarship. Prior to joining Penn State, Jeremy completed his BS in Physics and MS in Statistics at the University of Chicago, where he was a research fellow at the Center for Data Science and Public Policy.

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Lecture / Discussion Mon, 23 Oct 2023 14:35:41 -0400 2023-11-01T12:00:00-04:00 2023-11-01T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - 2020 California Neighborhoods Count: A validation of U.S. Census Population Counts and Housing Characteristic Estimates within California (November 8, 2023 12:00pm) https://events.umich.edu/event/114648 114648-21833254@events.umich.edu Event Begins: Wednesday, November 8, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
November 8, 2023
12:00 - 1:00 pm EST
The seminar will be locked 10 minutes after the start of the presentation.

2020 California Neighborhoods Count: A validation of U.S. Census Population Counts and Housing Characteristic Estimates within California

In response to long-standing concerns about the accuracy of census data and about a possible undercount, we conducted the California Neighborhoods Count (CNC) study — the first-ever independent, survey-based enumeration to directly evaluate the accuracy of the U.S. Census Bureau's population totals for a subset of California census blocks. This 2020 research was intended to produce parallel estimates of the 2020 Census population and housing unit totals at the census block level, employing the same survey items as the census and using enhanced data collection strategies and exploration of imputation methods. The CNC block-level population estimates were sensitive to the imputation method used to account for non-responding households, likely in part due to limited availability of administrative data to assist the imputations. CNC identified more housing units than Census (23,929 versus 22,668), which may be due to CNC’s in-person address canvassing. Despite advancements in geospatial imaging software, as well as many other approaches used by the U.S. Census Bureau to assess coverage and validate addresses, in-field address verification might yield a more complete accounting of inhabited housing units than partially conducting address canvassing with in-office approaches.

Lane Burgette is a Senior Statistician at the RAND Corporation. Dr. Burgette’s applied research is primarily focused on health policy, especially Medicare’s physician payment policies. Other recent research projects include an evaluation of the 2020 Census in California, gun policy research, and recidivism risk estimation for employer background checks. Dr. Burgette’s methodological research focuses on causal inference, methods for missing data, and Bayesian modeling. Prior to RAND, he earned his Ph.D. in Statistics at the University of Wisconsin, and was a post-doctoral researcher in the Department of Statistical Science at Duke University.

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Lecture / Discussion Mon, 30 Oct 2023 14:38:46 -0400 2023-11-08T12:00:00-05:00 2023-11-08T13:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
U-M Data Science & AI Summit 2023 (November 13, 2023 8:00am) https://events.umich.edu/event/107908 107908-21818384@events.umich.edu Event Begins: Monday, November 13, 2023 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

To view full Summit schedule, please visit the event webpage at https://midas.umich.edu/midas-summit-2023/.

Keynotes:

Suresh Venkatasubramanian, Director, Center for Technological Responsibility, Reimagination, and Redesign, Data Science Institute at Brown University; Professor of Data Science and Computer Science, Brown University - Key player for the White House Blueprint of an AI Bill of Rights

Julianne Dalcanton, Director, Center for Computational Astrophysics, Flatiron Institute - The origina and evolution of galaxies

Emre Kiciman, Senior Principal Researcher, Microsoft Research - A New Frontier at the Intersection of Causality and LLMs

Summit Sessions:
A panel discussion on: Federal priorities and opportunities in data science and AI
Panelists:
- Laura Biven, Data Science Technical Lead, Office of Data Science Strategy, National Institutes of Health
- Michael Molnar, Director, Advanced Manufacturing National Program Office, National Institute of Standards and Technology
- Hector Muñoz-Avila, Program Director and Cluster Lead, the Information Integration and Informatics Program, National Science Foundation
- Alvaro Velasquez, Program Manager, Information Innovation Office, Defense Advanced Research Projects Agency

Research vision talks by University of Michigan faculty researchers

The Propelling Original Data Science grant awardees showcase

Poster session, lightning talks, and awards

University of Michigan data science and AI organizations showcase

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Conference / Symposium Thu, 19 Oct 2023 14:06:45 -0400 2023-11-13T08:00:00-05:00 2023-11-13T19:00:00-05:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Conference / Symposium Data Science and AI Summit 2023
U-M Data Science & AI Summit 2023 (November 14, 2023 8:00am) https://events.umich.edu/event/107908 107908-21818387@events.umich.edu Event Begins: Tuesday, November 14, 2023 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

To view full Summit schedule, please visit the event webpage at https://midas.umich.edu/midas-summit-2023/.

Keynotes:

Suresh Venkatasubramanian, Director, Center for Technological Responsibility, Reimagination, and Redesign, Data Science Institute at Brown University; Professor of Data Science and Computer Science, Brown University - Key player for the White House Blueprint of an AI Bill of Rights

Julianne Dalcanton, Director, Center for Computational Astrophysics, Flatiron Institute - The origina and evolution of galaxies

Emre Kiciman, Senior Principal Researcher, Microsoft Research - A New Frontier at the Intersection of Causality and LLMs

Summit Sessions:
A panel discussion on: Federal priorities and opportunities in data science and AI
Panelists:
- Laura Biven, Data Science Technical Lead, Office of Data Science Strategy, National Institutes of Health
- Michael Molnar, Director, Advanced Manufacturing National Program Office, National Institute of Standards and Technology
- Hector Muñoz-Avila, Program Director and Cluster Lead, the Information Integration and Informatics Program, National Science Foundation
- Alvaro Velasquez, Program Manager, Information Innovation Office, Defense Advanced Research Projects Agency

Research vision talks by University of Michigan faculty researchers

The Propelling Original Data Science grant awardees showcase

Poster session, lightning talks, and awards

University of Michigan data science and AI organizations showcase

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Conference / Symposium Thu, 19 Oct 2023 14:06:45 -0400 2023-11-14T08:00:00-05:00 2023-11-14T19:00:00-05:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Conference / Symposium Data Science and AI Summit 2023
STS Speaker Series. A History of 'Impairment' (December 4, 2023 4:00pm) https://events.umich.edu/event/102183 102183-21828428@events.umich.edu Event Begins: Monday, December 4, 2023 4:00pm
Location: Tisch Hall
Organized By: Science, Technology & Society

“Impairment” is a key term in Anglophone disability studies and medical discourse, referring to physical difference, limitation, or injury. When disability scholars and activists critique the definition of impairment, they generally place the concept in the genealogy of medicalization and inappropriate pathologization. Yet as this talk will show, the history of impairment is as bureaucratic and actuarial as it is medical.

Popularized by the American life insurance industry in the early twentieth century, "impairment" indicates rating as well as diagnosis—the attachment of value, risk, or financial loss to particular traits. Specifically, impairment emerged as a form of information for corporate surveillance when life insurance companies joined with the Library Bureau in the 1890s to pool data on “impaired risks” among applicants.

This talk is drawn from a forthcoming article by Mara Mills and Dan Bouk, written after years of speculation among the authors that our areas of expertise—the history of disability and technology (Mills) and the history of life insurance (Bouk)—have more than a passing affinity.

Bio: Mara Mills is Associate Professor of Media, Culture, and Communication at New York University and founding co-director of the NYU Center for Disability Studies. She is also a founding editorial board member of Catalyst: Feminism, Theory, Technoscience. She is recently co-editor of Testing Hearing: The Making of Modern Aurality (Oxford 2020), Crip Authorship: Disability as Method (NYU 2023), and a forthcoming special issue of Osiris on "Disability and the History of Science" (2024). Upcoming publications include the NSF-funded edited collection How to be Disabled in a Pandemic (NYU Press), a coauthored book with Jonathan Sterne on time stretching, and an NEH-funded collaborative research project with Michele Friedner on "The Global Cochlear Implant."

Co-sponsors: Departments of American Culture; Communication and Media, Center for Ethics, Society and Computing; UM Initiative in Disability Studies

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Lecture / Discussion Tue, 12 Sep 2023 10:18:51 -0400 2023-12-04T16:00:00-05:00 2023-12-04T17:30:00-05:00 Tisch Hall Science, Technology & Society Lecture / Discussion Hollerith card for general mortality investigation, with columns for registering impairments