#UMTweetCon2019 A conference on the use of twitter data for research and analytics

When and Where

Thursday, May 23, 2019

8:30 a.m. - 5 p.m.

Room 1430, Institute for Social Research

426 Thompson Street

Ann Arbor, MI 48104

Preliminary Program

8:30 a.m. Registration and Morning Coffee

8:45 a.m. Welcome and Opening Remarks

Opening Remarks: Jule Krüger, #UMTweetCon2019 Organizer (Center for Political Studies, Institute for Social Research)

9:00 a.m. Panel 1: Issue Framing, Journalist Networks, and Twitter in the Classroom

“Framing Athlete Activism: Difference between Traditional Media and Social Media” Wenche Wang (School of Kinesiology), Stacy-Lynn Sant (School of Kinesiology)

“Professional Networks among Political Journalists” Michael Traugott (Center for Political Studies, ISR)

“Using Twitter to Teach Dental Treatment Planning” Vidya Ramaswamy (School of Dentistry), Dr. Romesh Nalliah (School of Dentistry), Dr. Mark Fitzgerald (School of Dentistry), Celia Alcumbrack-McDaniel, (School of Dentistry)

Discussant: Walter Mebane, Jr. (Department of Political Science, and Statistics)

10:30 a.m. Coffee Break

11:00 a.m. Panel 2: Neighborhood Health, Commuters in DC, and Consumer Experiences

“Using Twitter to Study Neighborhood Characteristics Related to Health Behaviors” V.G.Vinod Vydiswaran (Department of Learning Health Sciences), Tiffany Veinot (School of Information), Daniel Romero (School of Information), Deahan Yu (School of Information), Bradley E. Iott (School of Information), Veronica J. Berrocal (School of Public Health), Philippa J. Clarke (Survey Research Center, ISR), Robert Goodspeed (Taubman College of Architecture and Urban Planning)

“Coupling Twitter with GIS operations: The Benefits and Costs of Extending Sentiment Analysis to Travel Mode and Geography” Greg Rybarczyk (Department of Geography, Planning, and Environment), Syagnik Banerjee (School of Management, Flint)

“Developing Ambient Retail Insights from Ongoing Service Encounters with Geo-Social Data” Syagnik Banerjee (School of Management, Flint), Karthik Sridhar (The City University of New York), Amit Poddar (Salisbury University), Nanda Kumar (The City University of New York)

Discussant: Margaret Hicken (Survey Research Center/Population Studies Center, ISR)

12:30 p.m. Lunch

1:00 p.m. Poster Session

Discussants: Syagnik Banerjee (School of Management, Flint), Veronica J. Berrocal (School of Public Health), Robert Goodspeed (Taubman College of Architecture and Urban Planning), Daniel Romero (School of Information), Michael Traugott (Center for Political Studies, ISR), V.G.Vinod Vydiswaran (Department of Learning Health Sciences)

2:00 p.m. Panel 3: Election Experiences, Social Movements, and the Prediction of Human Activities

“What You Say You See is Who You Are: Observing Election Incidents in the United States via Twitter” Walter Mebane Jr. (Department of Political Science, and Statistics), Patrick Wu (Department of Political Science), Logan Woods (Department of Political Science), Alejandro Pineda (Department of Political Science), Blake Miller (Dartmouth College), Joseph Klaver (Department of Political Science), Preston Due (Computer Science and Engineering), Adam Rauh (Massachusetts Institute of Technology)

“The Role of Social Movement Organizations in the Age of #MeToo” Patrick Park (Ross School of Business), Jose Uribe (Ross School of Business)

“Predicting Human Activities from User-Generated Content” Steve Wilson (College of Engineering), Rada Mihalcea (Electrical Engineering and Computer Science)

Discussant: Mike Cafarella (Computer Science and Engineering)

3:30 p.m. Keynote Address, Award Ceremony, Coffee Break

Keynote Speaker: Mike Cafarella (Computer Science and Engineering)

4:00 p.m. Concurrent Sessions

Participatory & Networking Session: “Developing Twitter data research at U-M”

This 60-minute session is for U-M scholars currently engaged in Twitter data research to meet, network, and explore opportunities for research, collaboration, grants, and future events on #UMTwitterResearch.

Workshop: “Introduction to the Twitter API”, Alex Cao (CSCAR), 1450 ISR Thompson

This 60-minute workshop is designed for #UMTweetCon2019 attendees interested in getting started with their own Twitter data research. It introduces workflows for using the Twitter API for programmers and non-programmers alike. For non-programmers, we'll be using the Postman software. For programmers, we'll demonstrate the same process in Python. We will also discuss some of the limitations of the Twitter API and cover how to parse the JSON data retrieved from it.

5:00 p.m. Reception

Thank you to our sponsors

The Institute for Social Research (ISR) is the world’s largest academic social science survey and research organization. The ISR is a leader in developing and applying new social science methods, and committed to educating the next generation of social scientists. It consists of five separate but interdependent research centers that span more than 20 academic disciplines in the social sciences. In addition to world-leading survey studies, ISR research scientists develop and test survey methodologies; conduct experimental studies; maintain and distribute the world’s largest archive of computerized social science data; and train and educate researchers and students from around the world.

The Center for Political Studies (CPS) at the Institute for Social Research is recognized around the world as a leader in the quantitative study of politics and an innovator in research methods and training. Its scholars investigate the interactions among public opinion, political action, political processes, elections, institutions, political parties, and individuals – themes united by a concern for democratic process. CPS produces datasets used around the world, infrastructure for the social sciences, and offers training programs for students who go on to work in academia and throughout the private sector and government.

The Michigan Institute for Data Science (MIDAS) is a highly reputed center of excellence in a range of areas related to Data Science and Artificial Intelligence. It serves as the focal point of Data Science at the University of Michigan (U-M), and serves a community of more than 260 data science faculty members interested in collaboration. Their expertise encompasses theoretical foundations of data science, a wide range of data science methodology, and its applications in almost all research domains at U-M.

The Social Science and Social Media Collaborative (S3MC) incorporates three parallel projects in survey methodology, political communication, and parenting research to identify opportunities for blending social science and social media data to improve social science inference.

#Parenting is a Rackham Interdisciplinary Workshop (RIW) that provides a forum for faculty and graduate students to address issues related to parenting research. The workshop aims to provide an intellectually stimulating environment that promotes cross disciplinary dialogue, information sharing, and collaboration between faculty and graduate students studying parenting. The workshop also aims to discover and apply various methodologies to the study of parenting.

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