Members of the Team

The team for the project "Database on Political Responsiveness" consists of three Co-PIs (Christine Arnold, Mark Franklin and Christopher Wlezien), two Post Docs (Christopher Williams and Hossein Rahmani), and three student assistants.

Christine Arnold

Christine Arnold is an associate professor at the University of Maastricht, in the Netherlands. Her research and teaching interests are in comparative politics, public opinion, political representation and quantitative research methods. She specializes in large-scale data harmonization and analysis. She has special exertise in web-harvesting of government-produced data ofall kinds. Some of her work has been published in European Union Politics, West European Politics, Political Studies, International Studies Quarterly, Journal of Contemporary European Research and several edited volumes. Previously she was a Marie Curie Fellow at the European University Institute in Florence, a Visiting Scholar at the Freeman Spogli Institute for International Studies at Stanford University and at UC Berkeley, and an Affiliate at the Minda de Gunzburg Center for European Studies at Harvard University.

Mark Franklin

Mark Franklin was the Inaugural Stein Rokkan Professor of Comparative Politics at the European University Institute. He is an emeritus professor of Trinity College Connecticut, currently visiting the Massachusetts Institute of Technology. Dr. Franklin's main research interests lie in British, European and American government and political economy, political methodology, and the attitudes and behavior of elites and mass publics. His books include Electoral Change (1992 co-authored), Choosing Europe (1996 co-authored), Voter Turnout (2004) and The Economy and the Vote (2007 co-authored). He also has experience of managing and harmonizing massive data collections such as that produced by the EU's FP7 project on 'Providing an Infrastructure for Research on Electoral Democracy in the European Union' (PIREDEU) which collected individual-level, party-level, candidate-level and media data regarding the 2009 European Parliament Elections. He has over 40 years of experience in theory construction and data analysis in electoral and legislative behaviour, public opinion, and political economy.

Christopher Wlezien

Christopher Wlezien is professor of Political Science at the University of Texas at Austin and an Associate Member of Nuffield College Oxford. He has published widely in the areas of elections, public opinion, and public policy, and his books include Degrees of Democracy (Cambridge University Press), Who Gets Represented? (Russell Sage Foundation), and The Timeline of Presidential Elections (University of Chicago Press). He was founding co-editor of the Journal of Elections, Public Opinion and Parties and is co-editor of "Poll-Reviews" for Public Opinion Quarterly. Professor Wlezien has over 20 years of experience collecting, managing, analyzing and archiving data. He has special expertise with respect to measures of public opinion and public policy, both in North America and Europe. He has developed models relating public opinion and policy over time and across contexts. He also has created methods for assessing opinion and policy change and analyzing their dynamic inter relationships.

Christopher Williams

Christopher Williams is a post-doctoral research fellow at Maastricht University. He received his Ph.D. in Comparative Politics from the University of North Texas in 2012. His research focuses on representative governance with particular interests European politics, comparative democracy and democratization, and political methodology broadly defined. Specifically, his research examines the linkages between public opinion and political behavior, political parties, and governmental policy outputs.

Hossein Rahmani

Hossein Rahmani is a Post-Doctoral researcher at the University of Maastricht. His research interests are in "Annotated Graph Mining". He has strong technical skills in data mining, web mining, machine learning and pattern recognition. He has extensively published on Protein-Protein Interaction Networks, and webpage classification.