Dr. Finn Müller-Hansen

Researcher

Dr. Finn Müller-Hansen

Finn Müller-Hansen works in the group “Applied Sustainability Science” (APSIS) on applications of machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions. He is interested in methods from complex systems theory to investigate the interplay of social, economic, and ecological factors in transformations towards a sustainable economy.

In his PhD at Potsdam Institute for Climate Impact Research and Humboldt University of Berlin, he  used network theory and agent-based modeling to study deforestation and land-use change in the Brazilian Amazon.

Research Interests

  • Machine learning and bibliometry applied to sustainability literature and science-policy discourse
  • Political economy of energy transitions and coal
  • Complex systems and network theory, social-ecological modeling

 

 

Latest Publications

Müller-Hansen, F., Lee, Y.T., Callaghan, M., Jankin, S., Minx, J.C., 2022

The German coal debate on Twitter: Reactions to a corporate policy process

Energy Policy
Type
Peer Review
Diluiso, F., Walk, P., Manych, N., Cerutti, N., Chipiga, V., Workman, A., Ayas, C., Yiyun, R., Cui, D., Song, K., Banisch, L., Morettik N., Callaghan, M., Clarke, L., Creutzig, F., Hilaire, J., Jotzo, F., Kalkuhl, M., Lamb, W., Löschel, A., Müller-Hansen, F., Nemet, G., Oel, P., Sovacool, B., Steckel, J., Thomas, S., Wiseman, J., Minx, J., 2021

Coal transitions—part 1: a systematic map and review of case study learnings from regional, national, and local coal phase-out experiences

Environmental Research Letters
Type
Peer Review
Levi, S., Müller-Hansen, F., Lamb, W. F., Mattioli, G., Roberts, J. T., Capstick, S., Creutzig, F., Minx, J. C., Culhane, T. and Steinberger, J. K. , 2021

Klimaschutz-Ausreden

Buch "Climate Action - Psychologie der Klimakrise"
Type
Sonstige
Kittel, T., Müller-Hansen, F., Koch, R., Heitzig, J., Deffuant, G., Mathias, J.D., Kurths, J. , 2021

From lakes and glades to viability algorithms: Automatic classification of system states according to the Topology of Sustainable Management

European Physical Journal
Type
Peer Review
Callaghan, M., Müller-Hansen, F., 2020

Statistical stopping criteria for automated screening in systematic reviews

Systematic Review
Type
Peer Review