Annika Stechemesser is a doctoral researcher in Research Department 4 - Complexity Science.
She is a member of the working group Data-based analysis of climate decisions.
Department
Working Group
Curriculum Vitae
Contact
14412 Potsdam
- relationships between society/economy and climate change
- climate change and conflict
- machine learning (natural language processing, supervised and unsupervised learning...)
- network science
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. https://doi.org/10.1016/S2542-5196(22)00173-5
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
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
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 societal conflicts in response to weather extremes with non-linear 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.