Lecturer in Politics
Department of Political Economy
King’s College London
Bush House (North East Wing)
London WC2B 4BG
Telephone: +44 207 848 7870
Room number: 9.14 Bush House (North East Wing)
Monday: 14.00 - 15.00
Tuesday: 14.00 - 15.00
or by appointment (by email)
Dr Florian Foos joined the Department of Political Economy at King's College London in January 2017 as a Lecturer in Politics. Previously, he was a post-doctoral researcher in Public Policy at the Department of Political Science at the University of Zurich. Florian holds a D.Phil (2015) from Nuffield College, University of Oxford.
Florian is a behavioural political scientist. He studies partisan election campaigns, predominantly in the UK and in Continental Europe, to identify the causal effects of formal and informal interactions between citizens, politicians and campaign workers on electoral mobilization, opinion change and political activism. He also has a research interest in party competition, and in behavioural public policy. His methodological expertise is in causal inference, and particularly in the design and conduct of randomized field experiments in co-operation with candidates and political parties, as well as governmental and non-governmental organizations.
Foos, Florian, and Eline A. de Rooij. 2017. "All in the Family: Partisan Disagreement and Electoral Mobilization in Intimate Networks—A Spillover Experiment." American Journal of Political Science 61(2): 289-304.
Foos, Florian, and Eline A. de Rooij. 2017. "The role of partisan cues in voter mobilization campaigns: Evidence from a randomized field experiment." Electoral Studies 45(1): 63-74.
Dinas, Elias and Florian Foos. 2017. “The National Effects of Subnational Representation: Access to Regional Parliaments and National Electoral Performance.” Quarterly Journal of Political Science 12(1): 1-35.
Foos, Florian, and Peter John. 2016. "Parties are No Civic Charities: Voter Contact and the Changing Partisan Composition of the Electorate." Political Science Research and Methods, forthcoming.