
Ph.D Candidate @UHouston @UHPoliticalSci Methods | American Politics | AI/ML https://xitter.cf/t.co/9syDAcYfhV
Houston, TX
Joined March 2022
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Songeun Emily Lee retweeted
I'm excited to share the dataset behind my book project: the Japanese Municipal Elections Dataset (JMED)!
👤 223,561 candidates
🗳️ 21,111 elections
🗾 2,027 municipalities
🗓️ 2005–2025
Explore the map or download the data: charlesmcclean.com/jmed/
Songeun Emily Lee retweeted
New in @PNASNews:
In two large experiments (~18k obs from ~14.8k people), we find that brief conversations with AI can get people to take real political action - incl. signing real petitions and giving money to charity.
Surprisingly, the persuasion strategy that worked best for changing people's attitudes - packing convos with info - was the least effective at changing behavior!
🧵
Songeun Emily Lee retweeted
1/3 🌟 UH Political Science Job Market Spotlight: Meet Songeun Emily Lee (@SongeunEmily), a Ph.D. candidate in methodology and American politics. Her dissertation studies how race and gender shape entry into local elections, voter evaluations, and careers in Congress.
Songeun Emily Lee retweeted
宇賀先生の講演「研究生活の魅力」を拝聴。先生のお話を伺うのは学生時代以来30年ぶりだが、話し方は全くお変わりない。実に痛快な内容で、なんだか聞いているこちらまで碩学の泰斗であるかのような錯覚に陥ってしまった。 j.u-tokyo.ac.jp/news/2069/
Open sourcing my regression lectures 🍻
AI is changing how we teach. Here’s one way I’m adapting: I’ve open-sourced my regression course, POLI 450A, built on Jens Hainmueller’s original class.
The course is suitable for first-year political science PhDs, as well as advanced undergraduate students in economics, political science, and other social sciences.
The materials include slides, R code, data, worksheets, and a short video for every lecture.
github.com/xuyiqing/regressi…
Songeun Emily Lee retweeted
Forecasting the 2026 US Midterms
In a forecasting special issue of @ps_polisci for the U.S. midterm elections, all forecasters predict that Democrats will capture the House, but most anticipate a narrow Republican victory in the Senate.
buff.ly/LySzgap
New 2026 US House & Senate election forecasts, using all political science knowledge we could systematize, & our statistical methods from “If a Statistical Model Predicts That Common Events Should Occur Only Once in 10,000 Elections, Maybe It’s the Wrong Model” with @DannyCEbanks and @Jonathan_N_Katz. GaryKing.org/electit
We make these forecasts available (including all the input data, methods, and procedures), not only for their possible public interest, but because academics learn by making themselves vulnerable to being proven wrong. We will make no changes to our post-primary forecasts (which do not use polls) but will update two other sets on this site incorporating poll results as new ones appear. Comments on the paper or forecasts are welcome!
Songeun Emily Lee retweeted
From our FirstView: "The Representation Trap: How Minority Power Shapes Electoral Politics in India" by @FeyaadAllie. buff.ly/sEa2MlQ

ALT APSR abstract for "The Representation Trap: How Minority Power Shapes Electoral Politics in India," by Feyaad Allie, Studying Muslim representation in India, the author shows electing a Muslim representative divides Muslim votes while consolidating Hindu votes for the majoritarian party, driven by sub-identity and super-ordinate identity mobilization. Full abstract is available in linked article.
causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation
cran.r-project.org/web/packa…
Songeun Emily Lee retweeted
One month left to apply! The Rapoport Family Foundation Dissertation #Grants provide up to $15,000 for US-based PhD candidates conducting American politics survey research. Apply Now! Application Deadline: 10/21/26,11:59PM PT
buff.ly/HfkdGGX
Songeun Emily Lee retweeted
We hope you can join us for the Political Science Undergraduate Association Graduate School Workshop!
September 24, 2026
4-5:30p
MH 113
Thinking about graduate school? Join PSUA to learn about applications, choosing the right program, funding opportunities, and how to prepare!
Songeun Emily Lee retweeted
I’m really excited to have been quoted in a recent news story about the behavior of Latino voters based on my recent research, particularly on the importance of economic considerations. We’ll see how this manifests in the upcoming midterms! cnhi.com/rss_feed/latinos-vi…
Happy to share slides for six lectures on "causal panel analysis" based on my recent short course at Waseda.
github.com/xuyiqing/panel-le…
Written for applied researchers.
A little late, but I had to share some photos from my third APSA in Boston! :) I was so happy to present “Political Geography and Congressional Campaign Rhetoric” with Jennifer. Rob Oldham gave us really helpful comments and even shared his written notes afterward. So grateful!
Songeun Emily Lee retweeted
Meet Lucia Lopez, 2026 Advancing Research Grants for Early Career Scholars Recipient buff.ly/tzEowvP
Songeun Emily Lee retweeted
We are excited to announce that we will be hiring in American politics for two positions open as to specialty. One can be at the associate level. Stay tuned for the application link, which will be posted next week!
Songeun Emily Lee retweeted
I shared some evidence of models doing motivated reasoning in this paper: arxiv.org/abs/2608.00339. Never thought it’d manifest with such severity.
We’re sharing our alignment assessment of incidents in which Claude models gained unauthorized access to real systems during third-party cybersecurity evaluations mistakenly connected to the internet.
METR will also conduct an independent investigation, with wide-ranging access, including to transcripts beyond the window in which the incidents occurred, and to Anthropic employees permitted to share confidential information. Our initial agreement runs for eight weeks, and we intend to give METR as much time as it deems necessary to complete a thorough investigation. anthropic.com/research/align…
Songeun Emily Lee retweeted
How has Congressional rhetoric evolved in the social media age? To answer that, we collected over 7 million Facebook & Twitter posts from 2009 on, scaled them by text partisanship (far-left to far-right), and classified them by purpose.
Three findings are worth emphasizing:
From our FirstView: Measuring Partisanship and Representation in Online Congressional Communications by @MichaelRKistner, @MJHeseltine, @RobertAlvarez05, Maya Fitch, @Lucas_Lothamer, and @beth_simas. doi.org/10.1017/S00030554261…
Songeun Emily Lee retweeted
So excited this out
From our FirstView: Measuring Partisanship and Representation in Online Congressional Communications by @MichaelRKistner, @MJHeseltine, @RobertAlvarez05, Maya Fitch, @Lucas_Lothamer, and @beth_simas. doi.org/10.1017/S00030554261…





















