Dr Hanna Schenk

Postdoc

Research interests

 

  • Optimal management of biotic natural resources
  • Ecological-evolutionary-economic dynamics
  • Structured populations and (human-induced) evolution
  • Multiple objectives and values e.g. social welfare, biodiversity
  • Uncertainty, stochastic dynamics and stochastic optimisation

Teaching

 

  • Natural Resource use and Conservation Economics (assistant)
  • Environmental and Biodiversity Economics (assistant)
  • Evolutionary Game Theory

Curriculum vitae

 

2021 – present:Postdoc, Biodiversity Economics Group, iDiv. Project: CO2Meso - A first carbon based risk assessment on mesopelagic resources, stressors and protection (BMBF)
2019 – 2021:Postdoc, Biodiversity Economics Group, iDiv. Project: SOMBEE - Scenarios of Marine Biodiversity and Evolution under Exploitation and climate change (DFG)
2016 – 2019:Doctoral student, Evolutionary Theory, Max Planck Institute for Evolutionary Biology
2013 – 2015:M.Sc. Applied Mathematics, University of Lübeck
2009 – 2012:B.Sc. Biochemistry, University of Potsdam

Work in progress

 

 

Publications before iDiv

 

  • Gaëlle Demarre, Victoria Prudent, Hanna Schenk, Emilie Rousseau, Marie-Agnes Bringer, Nicolas Barnich, Guy Tran Van Nhieu, Sylvie Rimsky, Silvia De Monte, Olivier Espéli. The Crohn's disease-associated Escherichia coli strain LF82 rely on SOS and stringent responses to survive, multiply and tolerate antibiotics within macrophages. PLOS Pathogens. 2019. https://doi.org/10.1371/journal.ppat.1008123

iDiv publications

 

Schenk, H., Zimmermann, F., Quaas, M.

(2023): The Economics of reversing fisheries-induced evolution. Nature Sustainability

Meier, F., Schenk, H.

(2022): Editorial. Natural Resource Modeling

M. F. Quaas, J. N. Meya, H. Schenk, B. Bos, M. A. Drupp, T. Requate

(2021): The social cost of contacts: Theory and evidence for the first wave of the COVID-19 pandemic in Germany. PLOS ONE

Schenk, H., Schulenburg, H., Traulsen, A.

(2020): How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models. Bmc Evolutionary Biology
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Puschstrasse 4
04103 Leipzig
Germany

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Room

B.03.17

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+49 341 9733168
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Affiliation

Leipzig University

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