Karin Ingold is professor at the Institute of Political Science at the University of Bern since August 2011 and is also affiliated to the Oeschger Centre for Climate Change research. She leads the research group of Policy Analysis and Environmental Governance (PEGO) affiliated to the Institute of Political Science at the University of Bern and the Department of Environmental Social Sciences at EAWAG.
Karin Ingold is Associate Editor for Continental Europe for the Journal of Policy & Politics and in the editorial board of the Policy Studies Journal, Swiss Political Science Review, Connections, and European Policy Analysis Journal. In her research, she is interested in the analysis and design of policy processes and instruments. Through her PhD and recent research, she became a scholar of the Advocacy Coalition Framework and other policy process theories. Methodologically, she mainly developed her skills in the conceptual development and application of social network analysis. Since 2008, she has been a co-organizer of the International Conference on the Application of Social Network Analysis (ASNA), and since 2013 she is in the Scientific Board of the European Conference on Social Network Analysis.
Karin Ingold was born 1978 in Solothurn. She is a political scientist and finished her PhD in political and economic sciences at the University of Geneva in 2007. Her PhD thesis is about the analysis of decision-making mechanisms in the Swiss Climate Policy. From 2008 until 2011, Karin Ingold was a senior researcher and lecturer at the Chair for Environmental Policy and Economics at the ETH Zurich. She was mainly involved in research projects dealing with climate change adaptation in Swiss mountain regions, with the diffusion of innovation in forestry, and moreover with the liberalization of utility sectors in Europe. In Spring 2011, Karin Ingold was a visiting scholar at the Center for Environmental Policy and Behavior at UC Davis, California, USA. During this short international visit, she developed her skills in the application of social network analysis, regression analysis, and research design of natural resource policy further.
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