This project has enlisted scholars across disciplines already using social media data in their research in focused methodological discussions to develop a robust framework that can be used by data science and SBE scholars.
Study Design Attendees
John Abowd
U.S. Census Bureau and Cornell University
Economics, Statistics & Information Science
Tanya Berger-Wolf
Ohio State University
Computer Science & Population Biology
Guangqing Chi
Pennsylvania State University
Sociology/Demography
Lise Getoor
University of California, Santa Cruz
Computer Science/Machine Learning
Andrew Guess
Princeton University
Political Communication & Public Opinion
Jennifer Hill
New York University
Applied Statistics/Causal Inference
Adam Hughes
Pew Research Center
Applied Statistics/Causal Inference
Frauke Kreuter
University of Maryland
Statistics/Survey Methodology
Margaret Little
Georgetown University
Philosophy/Ethics
Kevin Munger
Pennsylvania State University
Political Science & Social Data Analytics
Sampling Attendees
Pablo Barberá
Facebook and University of Southern California
Political Science
Rachel Best
University of Michigan
Sociology
Elizabeth Bruch
University of Michigan
Sociology
Katharine Donato
Georgetown University
Migration Studies
Nicole Ellison
University of Michigan
Information Studies
Andrew Gelman
Columbia University
Statistics and Political Science
Erica Groshen
Cornell University
Economics
Libby Hemphill
University of Michigan
Information Studies
Will Hobbs
Cornell University
Government
George Karypis
University of Minnesota
Computer Science
Amy O’Hara
Georgetown University
Economics
Philip Resnik
University of Maryland Computational Linguistics
Brady West
University of Michigan
Survey Methodology
Stefan Wojcik
Twitter
Computational Social Science
Measurement Attendees
Elizabeth Cooksey
Ohio State University
Sociology
Frederick Conrad
University of Michigan
Survey Methodology & Psychology
Keenan Dworak-Fisher
Bureau of Labor Statistics
Survey Methodology
Deen Freelon
University of North Carolina, Chapel Hill
Journalism and Media
Daniel Hopkins
University of Pennsylvania
Political Science
Ken Kelley
University of Notre Dame
Psychology
Renée Miller
Northeastern University
Computer Science
Kobbi Nissim
Georgetown University
Computer Science
Carole Roan
Gresenz
Georgetown University
Economics & Public Health
Sudeepa Roy
Duke University
Computer Science
Model Construction Attendees
Michael Bailey
Georgetown University
Government & Public Policy
Shweta Bansal
Georgetown University
Biology
Nitesh Chawla
University of Notre Dame Computer Science
Munmun De Choudhury
Georgia Tech
Computational Social Science
Dick De Veaux
Williams College
Statistics
Ulrike Hahn
University of London
Psychological Sciences
Thomas Leeper
Facebook & London School of Economics
Methodology
Noah Smith
University of Washington
Computer Science
Karen Stohr
Georgetown University
Philosophy
Analysis & Visualization Attendees
Katharine Abraham
University of Maryland
Economics and Survey Methodology
Paul Beatty
U.S. Census Bureau
Behavioral Science
Duen Horng (Polo) Chau
Georgia Tech
Computing
Tina Elliassi-Rad
Northeastern University
Computer Science
Richard Gonzalez
University of Michigan
Psychology and Statistics
Rebecca Hamilton
Georgetown University
Marketing
In Song Kim
MIT
Political Science
Theresa Kuchler
New York University
Finance
Kristina Lerman
University of Southern California
Computer Science
Margaret Levenstein
University of Michigan
Business Economics and Public Policy
Quynh Nguyen
University of Maryland
Epidemiology and Biostatistics
Mahlet Tadesse
Georgetown University
Mathematics and Statistics