Andrew Lugg and Jared Oestman (both Political Science) published their paper "Costs or Benefits? Competing Frames and Public Support for Multilateral Peace Operations" in International Studies Perspectives, a peer-reviewed quarterly journal of the International Studies Association. Using a preregistered survey experiment, their study shows that U.…

Austin Horng-En Wang (Political Science) published an op-ed, "Volume Manipulation has become a Bigger Problem of Influence Operations than Fake News", in The Real Clear Defense. Volume manipulation means a country uses mass and social media to influence the issue salience of the targeted country and its population, which undermines its…

Andrew Lugg and Jared Oestman (both Political Science) published their paper “Reciprocity in International Law: Evidence from Investor-State Dispute Settlement” in the World Trade Review, a leading journal in international trade and investment law. Lugg and Oestman use a survey experiment (n = 2,227) on US attitudes towards Investor-State Dispute…

Austin Horng-En Wang's (Political Science) research on cognitive warfare and espionage was quoted by a  testimony submitted to the German Bundestag. In this report, Wang documents how Chinese content firms may be used to influence the public opinion and electoral process in Taiwan through volume manipulation and disinformation. 

Austin Horng-En Wang (Political Science) published an op-ed, "Beyond a ‘Non-Red’ Supply Chain, Taiwan Should Export a Drone Ecosystem," in The Diplomat. This article analyzes the recent development of the drone industry in Taiwan, and suggests that Taiwan should further advance its drone ecosystem including the logistics, legal framework…

Andrew Lugg (Political Science) and co-authors Manfred Elsig, Kirthana Ganeson, and Marine Roux have published an article, "Trade Agreements and the design of democracy-related provisions (TRADEM): The creation of a new data set," in The Review of International Organizations. The article combines manual coding and machine learning to measure…

Austin Horng-En Wang (Political Science) published an article, "Unconditional cash transfer and polarized support," in International Political Science Review. The article examines a unique "unconditional" COVID-19 relief voucher lottery in Taiwan in 2021, in which vouchers were randomly assigned based on the last two digits of citizens’…

Jacob Cox and Austin Horng-En Wang (both Political Science) published an article, "Asymmetric blame-shifting in the era of globalization," in European Political Science. The article analyzes two survey experiments on whether the leader's blame-shifting strategy works in the eye of voters, and whether such blame-shifting may lower people's trust on…

Austin Horng-En Wang (Political Science) and others published an article, "The People's Liberation Army's Perspectives on Artificial Intelligence Highlighting Integration as Key to "Intelligentization" Goals", with RAND Corporation. This article analyzes how China's PLA introduced and integrate AI into its equipment and operation through an…

Rebecca Gill (Political Science) and coauthors Christopher Zorn (Penn State University) and Jennie Sweet-Cushman (Chatham University) won the 2026 Jewell Limar Prestage Best Paper Award from the Southwestern Political Science Association for their paper “Gender and the Misperception of Women’s Representation in State Legislatures and Congress…

Austin Horng-En Wang's (Political Science) research on cognitive warfare and espionage was cited in a legislative proposal introduced by a Member of the Legislative Yuan in Taiwan. In the proposal, the legislator referenced Wang’s research to urge Taiwan’s Ministry of National Defense to develop more comprehensive preventive measures aimed at…

Austin Horng-En Wang (Political Science) published an article, "U.S.-China Competition for Artificial Intelligence Markets", with RAND Corporation. This article analyzes the global LLM traffic and show that (1) US-based LLM dominance, 93% of global traffic, (2) DeepSeek increased China-based LLM global share from 3% to 13% within one month,…