Sponsors
- Microsoft Research (platinum sponsor)
- National Science Foundation Political Science and Robust Intelligence programs (via award 1830158)
- University of Washington eScience Institute
- University of Washington Center for Statistics and the Social Sciences
- Insight Data Science
Notes
- Everything except Friday's party will take place in Kane Hall room 225; use this map to find it.
- Remember that by registering for this event, you agreed to abide by the Student Conduct Code for the University of Washington, in particular the prohibition on sexual harrassment.
Friday, September 21
8:00am - 9:00am: Breakfast
9:00am - 9:15am: Welcome
9:15am - 10:30am: Topics
- Toward Practical and Locally Private Inference of Topic Models
Alexandra Schofield, Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, and Hanna Wallach - Finding Meaning in Text: Fitting and Validating Anchored Topic Models
Patrick van Kessel and Adam Hughes - A Robust Latent Dirichlet Allocation Approach for the Study of Political Text
Andreu Casas, Tianyi Bi, and John Wilkerson - Discussants: Burt Monroe and Margaret Roberts
10:30am - 10:45am: Coffee break
10:45am - 12:00pm: Uncertainty
- Text Analysis of Text Analysis Syllabi
Fréchet Nadjim and Yannick Dufresne - Measuring Uncertainty in Social Science Texts
Sarah Bouchat - The Least Unclear Language: How Avoiding Negatives Produces Positive Understanding
Christian Mueller and Tom Paskhalis - Discussants: Amber Boydstun and Graeme Hirst
12:00pm - 1:30pm: Lunch, courtesy of our platinum sponsor Microsoft Research, and doctoral consortium mentoring conversations
1:30pm - 2:45pm: Well, Actually
- Mansplaining the Law: The Effect of Gender, Ideology and Seniority at Congressional Hearings
Michael Miller and Joseph Sutherland - Implicit Bias in Judicial Language
Elliott Ash, Daniel Chen, and Arianna Ornaghi - Is Your Representative a Grandstander? Measuring Message Politics in Committee Hearings
Ju Yeon (Julia) Park - Discussants: David Mimno and Cheryl Schonhardt-Bailey
2:45pm - 3:15pm: Break (please exit the room)
3:15pm - 3:30pm: Poster setup for doctoral consortium presenters
3:30pm - 5:30pm: Doctoral consortium poster session (including food and drinks)
6:00pm - 9:00pm: Party at the Agua Verde Waterfront Garden Pavilion (more food and drinks)
Saturday, September 22
8:00am - 9:15am: Breakfast
9:15am - 10:30am: Decisions
- Deep Voting: Measuring Ideology and Predicting Votes from Bill Texts using Neural Networks
Nick Beauchamp and Alex Herzog - Mining Human Decision Making
Margaret Roberts and Luke Sanford - Topic Selection in Conversation
Michael Yeomans and Alison Wood Brooks - Discussants: Cecilia Aragon and Bryce Dietrich
10:30am - 10:45am: Coffee break
10:45am - 12:00pm: Quotidian Text as Data
- Political-ish: Comparing Political and Everyday Language on Social Media for Turnout and Election Forecasting
William Hobbs, Lisa Friedland, Kenneth Joseph, Stefan Wojcik, and David Lazer - Boring in a New Way: Estimation and Inference for Political Style at Westminster, 1935–2018
Arthur Spirling, Leslie Huang, and Patrick Perry - Pronoun Usage as a Measure of Power Personalization: A General Theory with Evidence from the Chinese-Speaking World
Amy H. Liu - Discussants: Jacob Eisenstein and Jacob Montgomery
12:00pm: Lunch, courtesy of our platinum sponsor Microsoft Research
12:30pm - 1:15pm: Roundtable conversation on diversity in text-as-data research
1:30pm - 2:45pm: New Directions in Comparing Text as Data
- Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
Reagan Mozer, Luke Miratrix, Aaron Russell Kaufman, and L. Jason Anastasopoulos - Word Shift: A General Method for Visualizing and Explaining Pairwise Comparisons Between Texts
Ryan J. Gallagher, Andrew J. Reagan, Morgan R. Frank, Christopher M. Danforth, Peter Sheridan Dodds - Analysis of Political Texts in Multiple Languages
Mitchell L. Goist and Burt L. Monroe - Discussants: Amy Liu and Brandon Stewart
3:00pm - 4:00pm: Closing discussion