- Postdoctoral Researcher in the Future Lab Ceres (working package Machine Learning-based ex-post policy evaluation)
- Member of the working group Data-based analysis of climate decisions in Research Department 4 - Complexity Science
Department
Working Group
FutureLab / Science Unit
Curriculum Vitae
Full Version
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PDF document,
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Contact
14412 Potsdam
ORCID
- empirical climate policy evaluation
- relationships between society/economy and climate change
- climate change and inequality
- machine learning (natural language processing, supervised and unsupervised learning...)
A. Stechemesser, M. Kotz, M. Auffhammer, L.Wenz. Prolonged exposure weakens risk perception and behavioral response: Empirical evidence from Covid-19. Transportation Research Interdisciplinary Perspectives (2023). https://doi.org/10.1016/j.trip.2023.100906
| A.Stechemesser, A. Levermann, L. Wenz. Temperature impacts on hate speech online: evidence from 4 billion geolocated tweets from the USA. The Lancet Planetary Health (2022). https://doi.org/10.1016/S2542-5196(22)00173-5 |
| >The Lancet Planetary Health Cover |
| >Press release |
| >Selected Media coverage: Guardian | Washington Post | Bloomberg | EuroNews | Le Monde | ZDF Heute | Spiegel Online | Ärzteblatt | Tagesspiegel | RBB24 |
A. Stechemesser, L. Wenz, M. Kotz, A. Levermann. Strong increase of racist tweets outside of climate comfort zone in Europe. Environmental Research Letters (2021). https://doi.org/10.1088/1748-9326/ac28b3
| M. Kotz, L. Wenz, A. Stechemesser, M. Kalkuhl, A. Levermann. Day-to-day temperature variability reduces economic growth. Nature Climate Change (2021). https://doi.org/10.1038/s41558-020-00985-5 |
| >Press release |
A. Stechemesser, L. Wenz, A. Levermann. Corona crisis fuels racially profiled hate in social media networks. The Lancet - EClinicalMedicine (2020), DOI: 10.1016/j.eclinm.2020.100372
02/2023 - present
Postdoctoral Researcher, Potsdam Institute of Climate Impact Research
Postdoctoral researcher in the future lab Ceres working with Nicolas Koch. Focus on empirical evaluation of climate policy with machine learning approaches.
08/2022 - 12/2022
Visiting Researcher, University of California Berkeley
Research stay in the department of Agricultural and Resource Economics with Prof. Maximilian Auffhammer owrking on economic and social impacts of climate change.
09/2019 - present
PhD Candidate, Potsdam Institute for Climate Impact Research
PhD student in the research domain Complexity Sciences with Prof. Dr. Anders Levermann and Dr. Leonie Wenz. Focus on understanding temperature impacts on human behaviour with data analysis and machine learning approaches.
06/2019 - 09/2019
UK Government Operations Research Service, Department for Education
Three month internship, development of an app for fraud detection in funding allocations.
10/2018 - 06/2019
Research Assistant, Department for Computer Science, University of Warwick
Research in the area of bioinformatics.
C. Rich-Griffin & A.Stechemesser, Single-Cell Transcriptomics: A High-Resolution Avenue for Plant Functional Genomics, Trends in Plant Science (11/19)
2017 - 2018
MSc in Mathematics for Real-World-Systems (Distinction), University of Warwick
MSc thesis Improving Cell Type Identification of Single Cell Data by Iterative Graph Based Noise Filtering
Three month research project with Julia Computing.
2013 - 2016
Undergraduate in Mathematics, University Duisburg-Essen (Grade 1.5/A)
academic undergraduate scholarships by Evagelisches Studienwerk Villigst and Deutschlandstipendium.
