Dr. Sarah Wolf

Senior Researcher
Green Growth



Tel. +49 30-2060738-11
Fax. +49 30-2060738-33


Global Climate Forum e.V. (GCF)
Neue Promenade 6
10178 Berlin, Germany


Sarah Wolf contributes to the Green Growth research process since 2012. Her background is in mathematics, with a focus on probability. She has worked at the Potsdam Institute for Climate Impact Research (PIK), using mathematics as a language to clarify concepts, and has obtained a PhD in mathematics from Freie Universität Berlin (Thesis: From Vulnerability Formalization to Finitely Additive Probability Monads). Since 2009, she works on agent-based modelling – first at PIK in the Lagom modelling group, now at GCF, where she is currently workpackage leader for the pilot studies in the Centre of Excellence for Global Systems Science (CoeGSS).

Her research interest in terms of methods is a better understanding of the dynamics of agent-based models. Content-wise, she is most interested in understanding green growth mechanics, that is, in finding a parsimonious economic model about how a recoordination of agents' expectations can lead to win-win situations for climate and the economy.




Wolf, S., Schütze, F., and Jaeger, C., 2016. Balance or Synergies between Environment and Economy — A Note on Model Structures. Sustainability, 8(8), 761

Wolf, S., Schütze, F., and Jaeger, C., 2016. The Possibility of Green Growth in Climate Policy Analysis Models – a Survey. GCF Working Paper 1/2016

Wolf, S., Fürst, S., Mandel, A., Lass, W., Lincke, D., Pablo-Martì, F., and Jaeger, C., 2013. A multi-agent model of several economic regions. Environmental Modeling and Software, 44, pp. 25-43.

Wolf, S., Bouchaud, J.-P., Cecconi, F., Cincotti, S., Dawid, H., Gintis, H., van der Hoog, S., Jaeger, C. C., Kovalevsky, D. V., Mandel, A., and Paroussos, L., 2013. Describing economic agent-based models – Dahlem ABM documentation guidelines.  Complexity Economics, 2, pp. 63-74.
A first version of the guidelines can be found here for reference.

Wolf, S., Hinkel, J., Hofmann, M., Bisaro, A., Lincke, D., Ionescu, C., and Klein, R. J. T., 2012. Clarifying vulnerability definitions and assessments using formalisation. International Journal for Climate Change Strategies and Management, 5(1),pp. 54-70.

Wolf, S. and Jaeger, C., 2013. Summary and Major Findings, Part IV People. Regional Assessment of Climate Change in the Mediterranean, Volume 2: Agriculture, Forests and Ecosystem Services and People. Navarra, A. and Tubiana, L. (Eds.), Springer.

Wolf, S., 2012. Vulnerability and Risk – Comparing Assessment Approaches. Natural Hazards, 61(3). DOI:10.1007/s11069-011-9968-4.

Wolf, S., Fürst, S., Mandel, A., Knell, S., Lass, W., Lincke, D., Teitge, J., and Jaeger, C., 2012. Two modes of scheduling in a simple economic agent-based model. SIMULTECH 2012 – Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Rome, Italy, 28 - 31 July, 2012.

Bisaro, A., Wolf, S., and Hinkel, J., 2010. Framing climate vulnerability and adaptation at multiple levels: addressing climate risks or institutional barriers in Lesotho? Climate and Development, 2(2).

Wolf, S., 2009. Vulnerability to Climate Change – Mathematics as a Language to Clarify Concepts. In: M. Emmer and A. Quarteroni (eds.), MATHKNOW2008, pp. 253–263. Springer, Milano.

Wolf, S., 2010. From Vulnerability Formalization to Finitely Additive Probability Monads. PhD thesis, Freie Universität Berlin.

Wolf, S., Lincke, D., Hinkel, J., Ionescu, C., and Bisaro, S., 2008. Concept Clarification and Computational Tools – A Formal Framework of Vulnerability. FAVAIA Working Paper 8, Potsdam Institute for Climate Impact Research.

Wolf, S., Ionescu, C., Lincke, D., Bisaro, S., Hinkel, J., and Reckien, D., 2007. A Formal Framework of Vulnerability. Deliverable to the ADAM Project. FAVAIA Working Paper 6, Potsdam Institute for Climate Impact Research.

Wolf, S. 2006. Eine italienische Reise in die Mathematik und Kultur. DMV-Mitteilungen, 14(1):49–50.





A climate stress-test of the financial system

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GREEN-WIN Project Website Launched

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