Graduate Student Posters

Measuring Political Polarization in Mass Publics: The Cluster-Polarization Coefficient

Isaac Mehlhaff (University of North Carolina, Chapel Hill)

Abstract: Political polarization has become a key concern in many important topics within comparative politics, yet past research has reached little consensus as to its substantive causes and effects. Much of this disagreement, I argue, stems from the use...

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The Heuristic Issue Voter: Issue Preferences and Candidate Choice

Gabriel Madson (Duke University)

Abstract: Issue voting, where citizens select candidates primarily for their positions on political issues, is a normatively appealing theory of voting. A public whose political behavior is driven by...

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Contrastive Multiple Component Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups

Tzu-Ping Liu and Takanori Fujiwara (University of California, Davis)

Abstract: Ideal point estimation and dimensionality reduction have long been utilized to simplify and cluster complex, high-dimensional political data (e.g., roll-call votes, surveys, and texts) for use in (preliminary) analysis and...

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Beyond Topics: Semi-Supervised Learning for Texts From a Measurement Perspective

Shiyao Liu (Massachusetts Institute of Technology)

Abstract: This project proposes a new methodological framework to use text data as a measurement in political science. Despite the abundance of text data available nowadays, conversion of text data into a measurement for a political concept remains a challenge that prevents...

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Latent Factor Approach to Missing Not at Random

Naijia Liu (Princeton University)

Abstract: Social scientists rely heavily on survey datasets to study important questions, such as policy preferences and voting intentions. However, it is common that respondents choose not to answer a certain question due to some unobserved confounders, thus causing ’missing not at random (MNAR)’...

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Causal Inference in Difference-in-Differences Designs under Uncertainty in Counterfactual Trends

Thomas Leavitt (Columbia University)

Abstract: Difference-in-Differences (DID) is a popular method for design-based causal inference. Design-based methods typically quantify uncertainty in inferences from a sample to a population via a sampling mechanism and from observed to counterfactual outcomes via an assignment mechanism. The...

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Value Shift: Immigration Attitudes and the Sociocultural Divide

Caroline Lancaster (University of North Carolina, Chapel Hill)

Abstract: Socially-liberal attitudes towards cultural issues, such as women's rights, enjoy broad acceptance in Western Europe, particularly among younger generations. Yet, despite theoretical claims that immigration and multiculturalism would likewise become broadly...

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The Puzzling Politics of R&d: Signaling Competence Through Risky Projects

Natalia Lamberova (University of California, Los Angeles)

Abstract: Why do some leaders devote significant funds to research and development (R&D) even though such investments are risky, less visible to the public...

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Clustering Large-Scale Ballot Data With Varying Choice Sets

Shiro Kuriwaki (Harvard University)

Abstract: Election scholars increasingly analyze large cast vote records (ballot image logs) to measure ticket splitting and ideological coherence in actual voter behavior. Election administrators also store cast vote records to detect election fraud and audit results. Although clustering methods...

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Diffusion of Cybersecurity Policies

Nadiya Kostyuk (University of Michigan, Ann Arbor)

Abstract: One of the most important developments of the last two decades has been the spread of national cybersecurity policies that affect millions of people globally. Yet, researchers know relatively little about this phenomenon. I study cybersecurity policy diffusion...

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The Spread of Promotion of Political Violence on Twitter

Taegyoon Kim (Pennsylvania State University)

Abstract: Although social media contribute to political participation by enabling citizens to freely express and exchange political opinions, increasing concerns are raised about the...

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Donation Dynamics: Do Critical Campaign Events Influence Contributions?

Seo-young Silvia Kim (California Institute of Technology)

Abstract: What events motivate individual campaign contributions? Using the 2016 campaign finance data from the Federal Election Commission as a daily time-series, I test the hypothesis that if presidential donors are either instrumental or momentum-driven, they...

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Paragraph-Citation Topic Models for Corpora With Citation Networks

ByungKoo Kim, Yuki Shiraito and Saki Kuzushima (University of Michigan)

Abstract: Social scientists often analyze a corpus with a citation network among its documents, such as the corpus of the U.S. Supreme Court decisions. Existing topic models for document networks assume that the topic of a citation is...

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Non-Parametric Bridging of Non-Parametric Ideological Scales: Application to Mapping Voters on Politicians’ Ideological Space

Tzu-Ping Liu, Gento Kato and Samuel Fuller (University of California, Davis)

Abstract: Bridging ideological estimates of various groups and polities is an important, but relatively troubled branch of...

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LAPD Community Safety Partnership: Impact Evaluation on Violent Crime Using Augmented Synthetic Control Models

Sydney Kahmann, Erin Hartman, P. Jeffrey Brantingham and Jorja Leap (University of California, Los Angeles)

Abstract: In 2011, the Los Angeles Police Department (LAPD), in conjunction with other governmental and nonprofit groups, launched the Community Safety Partnership (CSP)....

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