色花堂

Texas Methods Meeting 2025

The 2025 Texas Methods Meeting (TexMeth) is hosted by the 色花堂's Department of Political Science and the Hobby School of Public Affairs. It will take place on February 21 and 22, 2025 at the 色花堂.    

This conference aims to bring together scholars (faculty and graduate students) from Texas and beyond who are doing research in political methodology, broadly defined.

 

Program

 

Friday, Feb. 21

 

11:00 AM 鈥 12:00 PM Set-up and Early Arrival
Student Room (Bates 105)
12:00 鈥 12:55 PM Regular Arrival, Lunch & Opening Comments
Student Room (Bates 105)

1:00 PM 鈥 2:10 PM

Paper session 1: Large Language Models
Heritage Room (Bates 201)

Patrick Brandt, UT Dallas,

Connor Jerzak, UT Austin,  (See the slides )

Discussant: Sunny Yang, Northeastern University

2:15 PM 鈥 3:25 PM

Paper session 2: Election Applications
Heritage Room (Bates 201)

Mitchell Linegar, CalTech, 鈥淧rebunking  Election Rumors: Artificial Intelligence Assisted Interventions Increase Confidence in American Elections鈥

Juan-Pablo Micozzi, ITAM, 鈥淧arty Monitors and Election Integrity Evidence from Argentina鈥 

Discussant: Jae-Hee Jung, 色花堂

3:30 鈥 4:40 PM

Poster session
Student Room (Bates 105)

Amanda Austin, 色花堂, 鈥淎n Experimental Comparison of AI-Enabled Semi-Structured Interviews and Fixed Surveys: Response Patterns, Quality, and Representation鈥

Ransi Clark, 鈥淪olutions to the temporal sparsity of electoral data: Applications in destruction鈥

Andr茅s Cruz, University of Texas Austin, 鈥淭oward more informative robustness checks鈥

Shiladitya Kumar, 色花堂, 鈥淭he Effect of Political Competition on Candidate Nomination Strategies: Evidence from India鈥

Songeun Emily Lee, 鈥淢easuring Voter Preferences for Female Candidates Using Machine Learning鈥

Mitchell Linegar, CalTech, 鈥淯sing Compositions of LLM Functions to Extract Data from Unstructured Corpuses鈥

Yu-hsien Sung, University of North Texas, 鈥淎nalyzing Campaign Messages of U.S. District Attorneys鈥

Agustin Vallejo and Maria Perez Arguelles, 鈥淏racing for the Storm: Ideal and Actual Natural Disaster Preparedness in Texas鈥

Amanda Weiss, Yale University, 鈥淪ensitive Content Causes Resentment Not Attrition in Survey Experiments鈥

4:45 PM 鈥 5:55 PM

Paper session 3: Legislative Applications
Heritage Room (Bates 201)

Seo Eun Yang, Northeastern University, 鈥淯nveiling Policy Preferences: Leveraging Knowledge Graph Embeddings for Insights into International and Legislative Co-Sponsorship Networks鈥

Michael Kistner, 色花堂, 鈥淢easuring Partisanship and Representation in Online Congressional Communication鈥

Discussant: Boris Shor, 色花堂

6:30 PM Dinner & Reception
Eugene鈥檚: 1985 Welch Street, Houston, TX 77019

 

Saturday, Feb. 22

 

8:00 鈥 8:45 AM Early arrival and Breakfast
Heritage Room (Bates 201)

8:50 鈥 10:00 AM

Paper session 4: Experimental Methods 
Heritage Room (Bates 201)

Gustavo Diaz, Northwestern University,

Trent Ollerenshaw, 色花堂, 鈥淩epeated Measure Designs are Superior for (Most) Experimental Survey Research Applications鈥

Discussant: Yuki Atsusaka, 色花堂 (See the slides here)

10:05 鈥 11:15 AM

Paper session 5: Measuring and Estimating 
Heritage Room (Bates 201)

Matthew Tyler, Rice University, 鈥淏ounding causal effects in survey experiments with noncompliance or inattention鈥 (See the slides here)

Max Goplerud, UT Austin,

Discussant: Scott Cook, Texas A&M University

11:20 AM - 12:30 PM

Paper session 6: More Electoral Applications
Heritage Room (Bates 201)

William O鈥橞rochta, Texas Lutheran University, 鈥淒etermining Politicians鈥 Electorally-Relevant Caste Membership鈥

Yuki Atsusaka, 色花堂,  (See the slides here)

Discussant: Gustavo Diaz, Northwestern University

 

 

Location

The meeting will take place at Bates Building (Heritage Room & Student Room) in 色花堂 main campus.

Parking

We will arrange parking permits for the .

Travel

Just a reminder we are not covering travel for this meeting.  As in past TexMeth鈥檚 you are expected to make your own arrangements and cover your own costs.

We will be starting around 11am on Friday and conclude around noon on Saturday.

Lodging Recommendations

  1.  (on campus)
  2.  (5.3 miles from campus)
  3.  (5.3 miles from campus)
  4. (5.4 miles from campus)
  5.  (5.3 miles from campus)
  6.  (5.3 miles from campus)
There are a few options in Downtown Houston area, especially around Discovery Green, which are not too far either.

 

For additional information, please contact  Scott Basinger at sjbasing@central.uh.edu or Pablo Pinto at ppinto@central.uh.edu