Finn Müller-Hansen


 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

Peer-Reviewed Articles

F. Müller-Hansen, M. Schlüter, M. Mäs, J. F. Donges, J. J. Kolb, K. Thonicke, and J. Heitzig: 

Towards representing human behavior and decision making in Earth system models – an overview of techniques and approaches 
Earth System Dynamics 8, pp. 977-1007, doi:10.5194/esd-8-977-2017, 2017.

J. F. Donges, W. Lucht, F. Müller-Hansen, and W. Steffen: 
The technosphere in Earth System analysis: A coevolutionary perspective 
The Anthropocene Review 4(1), pp. 23-33, doi:10.1177/2053019616676608, 2017.

F. Müller-Hansen, M. F. Cardoso, E. L. Dalla-Nora, J. F. Donges, J. Heitzig, J. Kurths, and K. Thonicke: 
A matrix clustering method to explore patterns of land-cover transitions in satellite-derived maps of the Brazilian Amazon 
Nonlinear Processes in Geophysics, 24, pp. 113-123, doi:10.5194/npg-24-113-2017, 2017.

H. Fauser, F. Kersting, F. Müller-Hansen, and A. Sacharow:
Missing bridges: a pluralist analysis of the debate on Capital in the Twenty-First Century 
International Journal of Pluralism and Economics Education, 7(3), pp. 300 - 322, doi:10.1504/IJPEE.2016.079693, 2016.

F. Müller-Hansen, F. Droste, and B. Lindner:
Statistics of a neuron model driven by asymmetric colored noise 
Physical Review E 91, 022718, doi:10.1103/PhysRevE.91.022718, 2015.

Sign up for the MCC newsletter.