Jakob Wedemeyer

• Climate impacts on society, i.e. migration behaviour
• Media attention to climate change
• Causal inference (fixed effects models)
• Machine learning (natural language processing, supervised and unsupervised learning...)
• Explainable AI (SHAP value analysis)

Wedemeyer J.H., Kotz M., Stechemesser A., Wenz L. Empirical evidence of climate-induced migration at global scales (under review)

Wedemeyer J.H., Stechemesser A., Wenz L. Which climate impacts are seen: Media salience, economic ties and public response (in preperation)

Staal L.K., Arky J.A., Liessem L., Wells B.E., Zarama Giedion M., Wedemeyer J.H., Ziegler K., Wenz L. Proxying production: a comparative assessment of global subnational GDP datasets using night-time lights (in preparation)

Wedemeyer J.H. netcdf2region. Python software for area-weighted aggregation of gridded data to regions. Zenodo (2026). doi: 10.5281/zenodo.22062732.
>> GitHub

Schirmag T., Wedemeyer J.H., Stechemesser A., Wenz L. Neural topic modeling reveals German television’s climate change coverage. Nature's Communications Earth & Environment (2025).
>> Blog post
>> Code

Lochner, J.H., Stechemesser, A. & Wenz, L. Climate summits and protests have a strong impact on climate change media coverage in Germany. Nature's Communications Earth & Environment (2024).
>> Blog post
>> Code

Lochner*, J. H./Donges*, J. F., Kitzmann, N. H., Heitzig, J., Lehmann, S., Wiedermann, M., and Vollmer, J. (2021). Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study. European Physical Journal Special Topics (2021).
* shared lead authorship.

I am authoring a weekly (german only) newsletter on climate politics: Klimahochdrei