Heiko Rauhut is Full Professor of Social Theory and Quantitative Methods at the Institute of Sociology. He has recently been awarded an SNSF Starting Grant (equivalent to ERC Starting Grant). Rauhut is also private lecturer (“Privatdozent”) at the ETH Zurich. Previously, Rauhut has been appointed as SNSF Professor at the Institute of Sociology. Before, Rauhut has worked at the Chair of Sociology, in particular of modeling and simulation at the ETH Zurich, where he did his “Habilitation”. He has done his doctorate at the Institute of Sociology at the University of Leipzig and his Master at the London School of Economics and Political Science.
Heiko Rauhut publishes his work in international journals including Social Forces, PNAS, and Rationality and Society. His research focuses on the emergence, change and decay of social norms and their effects on cooperation and conflicts. His research topics include normative conflicts, spreading of lies, signaling, social value orientation, reciprocity, punishment, wisdom of crowds, network analysis, and quantitative sociology of science. Rauhut’s work is characterized by theory-guided empirical social research, combing analytical social theory, game theory or agent-based models with empirical research methods such as laboratory and field experiments, surveys, social network analyses and big data analyses.
SNSF Starting Grant
Heiko Rauhut has recently been awarded an SNSF Starting Grant on social norms, cooperation and conflict in scientific collaborations. This project reflects his general research strategy. The project is rooted in a game theoretical framework explaining when social norms promote cooperation and when conflicts. It is further based on laboratory experiments on the mechanisms of normative conflicts between equality and equity norms. From these basic insights, predictions are derived about the emergence, change and decay of cooperation norms in work teams. The Starting Grant aims to test this framework in the field of scientific collaborations. The research design specifies a triangulation of three different quantitative methods: large scale bibliometric data, surveys and meta-analyses.