Sveinung Arnesen is a Senior Researcher at the Uni Research Rokkan Centre, Norway, and Associate Professor II at the Department of Comparative Politics, University of Bergen. Sveinung’s research revolves around democratic theory, public opinion, and electoral behavior, with a main methodological focus on survey experiments. He currently leads the project Can Fair Decision Making Procedures Increase The Legitimacy of Democracies?, and coordinates the research group on Political Behavior and Democracy at the Digital Social Science Core Facilities (DIGSSCORE). His research appears in journals such as the Comparative Political Studies, Electoral Studies, International Journal of Forecasting, Political Studies, and Social Science Computer Review.
Ph.D. in Comparative Politics, 2012
University of Bergen
The European Prediction Market Infrastructure for Political Elections develops and facilitates the use of prediction market software for research purposes in relation to elections and other political events. The software has been employed to Norwegian national elections, German national elections, Spanish national and regional government formations, and to Swiss national elections and popular votes.
The primary scientific objective of the PROLEG project is to better understand how democratic institutions and decision-making bodies should organize decision-making procedures and implementation procedures in order to make them more legitimate in the eyes of the public. We study if and how variations in political decision making procedures can make the outcomes more acceptable to the citizens, and especially to those who disagree with the outcome. Do people share universal perceptions of fair decision makingn procedures? In a nutshell, the PROLEG project will address this issue and generate new knowledge that can be used to improve governance in the future. This will be accomplished by conducting experimental and observational studies on the mechanisms of accepting decision-making procedures. The data will mainly be generated within the infrastructure of DIGSSCORE at the University of Bergen, Norway, taking advantage of changes in technology and research methodology that combine to bring computer laboratory research and survey studies closer together.