introduction
Many of the research questions that interest me are interdisciplinary and I am connected to several interdisciplinary environments, including CEC.
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My research is about the relation between science and politics. Firstly, I study the role of ideas and scientific knowledge (and uncertainty) in how political problems are defined and decisions are made. I am involved in several research projects on this theme, including on carbon pricing, green infrastructure, and biodiversity offsetting. Secondly, I study decision-making under risk and uncertainty from a more conceptual perspective, including a focus on robust decision-making. Thirdly, I do research on the scientific side of the relation, more specifically on how scientists understand and approach the relation. My research also concerns environmental and climate politics more broadly. For example, I am involved in a project on the division of responsibility over climate adaptation in a Swedish context, dealing with issues about public/private and the state/local level.
My research is partly interdisciplinary and is conducted together with researchers from different disciplines, at the moment Ecology, Philosophy and Engineering.
I teach courses at the Department of Political Science, including a master course on Policy processes, and give a course on Environmental Politics and Administration to environmental science students. I am at the moment involved in two PhD courses: one on Risk, uncertainty and decisionmaking, and one on Science communication. Both are interdisciplinary.
Displaying of publications. Sorted by year, then title.
Many of the research questions that interest me are interdisciplinary and I am connected to several interdisciplinary environments, including CEC.
Sustainable distribution of responsibility for climate change adaptation
A price on carbon emissions: what makes states adopt carbon pricing policies?
The making of green infrastructure as a policy tool for biodiversity conservation
Biodiversity offsetting – what does it mean?
Dynamic modelling as a basis for policy decisions