معرفی
Konstantin Bogatyrev is an LSE Fellow in Political Behaviour at the London School of Economics and Political Science Department of Government and a PhD candidate in Political Science at Bocconi University, expected to complete his doctorate in 2025. His research focuses on voter accountability mechanisms in response to socially conservative and illiberal political agendas, with regional expertise in Europe and the European Neighborhood. He works under Prof. Catherine De Vries as part of the ERC project 'LOSS Narratives of Loss: Unravelling the Origins of Support for Socially Conservative Political Agendas.'
Born in Moscow, Bogatyrev completed his bachelor's degree with honors in economics and management from Lomonosov Moscow State University before earning a double master's from the Higher School of Economics in Moscow and Humboldt University in Berlin, where he also participated in the International Parliamentary Scholarship program at the German Bundestag. His multilingual abilities (English, German, Italian, Russian, plus reading comprehension of Belarusian and Ukrainian) significantly enhance his research across the European region.
Bogatyrev's research employs quantitative methods to investigate how citizens respond to illiberal political actors, with notable work on the electoral consequences of state-sponsored homophobia and the impact of 'LGBT-free zones' on migration intentions in Poland. His work bridges theoretical political science with real-world policy implications, particularly regarding accountability mechanisms in democratic systems facing authoritarian challenges.
Beyond his research, Bogatyrev demonstrates strong commitment to academic community building, having served as Vice-president of the Association for Gender Equality and Diversity in Academia (AGEDA) at Bocconi University and as an Ambassador of the CIVICA alliance during 2022-23. He actively participates in academic initiatives promoting more equitable scholarly communication, including support for non-profit publishing alternatives through EPSS.
