Parameterized Algorithmics for Computational Social Choice: Nine   Research Challenges
  Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other side. Typical computational problems studied in this field include the vulnerability of voting procedures against attacks, or preference aggregation in multi-agent systems. Parameterized Algorithmics is a subfield of Theoretical Computer Science seeking to exploit meaningful problem-specific parameters in order to identify tractable special cases of in general computationally hard problems. In this paper, we propose nine of our favorite research challenges concerning the parameterized complexity of problems appearing in this context. 
Robert Bredereck and Jiehua Chen and Piotr Faliszewski and Jiong Guo   and Rolf Niedermeier and Gerhard J. Woeginger
cs.MA cs.GT