Tom Paskhalis

I am a computational political scientist and data scientist. Currently, I am an Assistant Professor in Political Science and Data Science at Trinity College Dublin, Department of Political Science. Previously, I was a Postdoctoral Fellow at New York University, Center for Social Media and Politics.

I received my PhD from London School of Economics and Political Science, Department of Methodology. My methodological research interests include machine learning, Bayesian modelling, text analysis, record linkage and data visualisation. Substantively, I’m interested in comparative and British politics, political communication, lobbying and social media. In my current research I analyse how organisations get access to government and what other strategies they employ to affect policy.

Apart from academic research, I am an open source enthusiast and a member of the rOpenSci initiative. Check Software page or my Github profile for the list of packages I have contributed to.

I received my BA in Political Psychology from St Petersburg State University, Department of Psychology and my MSc in Social Research Methods from LSE. Apart from social science training, I also have a diploma in Software Engineering from SPbU, Faculty of Mathematics and Mechanics.

Research

Publications

“Gender, Justice and Deliberation: Why Women Don’t Influence Peace-making” with Denisa Kostovicova, International Studies Quarterly, 2021, 65 (2), 263-276

Working papers

“The Limited Impact of Russia’s Election Interference on Twitter in the 2016 US Election.”, R&R (with Gregory Eady, Jan Zilinsky, Denis Stukal, Richard Bonneau, Jonathan Nagler and Joshua Tucker)

“Independent Media Under Pressure: Evidence from Russia.”, under review (with Bryn Rosenfeld and Katerina Tertytchnaya)

“Parliament Strikes Back: Agenda-setting and Power Voids in Early Representative Assemblies”, under review (with Toni Rodon)

“Path to Fake: Who Goes and How Did They Get There?”, under review (with Richard Bonneau, Joshua Tucker and Jonathan Nagler)

“Emotion Shift and Transitional Justice in the Balkans”, (with Denisa Kostovicova and Ivor Sokolic)

Selected work in progress

“Interest Group Access and Campaign Spending Limits: Evidence from Brexit”

“Record Linkage with Text: Merging Data Sets When Information is Limited”

“Learning Media Quality from Facebook Data” (with Kevin Aslett, Cody Buntain, Zhanna Terechshenko, Joshua Tucker, Jonathan Nagler and Richard Bonneau)