Fabio Angiolillo is a political scientist whose research focuses on political parties, democratic resilience, regime change, and East Asian politics.
His Kellogg project, "Authoritarian Political Parties: Attacking Democracies and Defending Autocracies," utilizes a new spatial dataset of party offices to define and measure authoritarian parties globally, analyzing their impact on governance and democratic stability at national and subnational levels.
Angiolillo developed the One Party Membership Dataset (OPAMED) and contributed 12 variables on party systems to the V-Dem dataset. His work is published in the British Journal of Political Science, Journal of Peace Research, and Democratization. He also has advised several European and Asian governments and published reports with the International Affairs Institute.
Most recently, Angiolillo was a Jemolo Research Fellow at Nuffield College, University of Oxford, and a postdoctoral researcher at the V-Dem Institute, University of Gothenburg. He also has held visiting positions at Cornell and Freiburg Universities. He is the co-founder of the Authoritarian Political Systems Group (APSG) and co-convenor of the PSA Autocracies and Regime Change section.
His honors include the 2022 Virginia Gray Graduate Student Award (APSA) and the Outstanding Research Award from the University of Hong Kong, where he earned his PhD in political science.