Kilian Sprenkamp
Research Fellow and Founder GeoLens
Department of Informatics
University of Zurich
Binzmuehlestrasse 11
CH-8050 Zurich
Room: BIM 4-009
Email: sprenkamp@ifi.uzh.ch
Short CV
Hi, I am Kilian. I was a PhD in the IMRG Group and now work on my start-up GeoLens which commercializes parts of my research. GeoLens is a personalized Intelligence platform, showing corporate security Teams which global events affect their infrastructure and personnel. I am open to supervising theses or master projects, if these align with the goal of GeoLens, just message me :).
Work
- since 12/2025: CoFounder GeoLens, providing geopolitical risk assessments to security departments
- 12/2021 - 11/2025: Research Assistant and PhD Student at the Information Management Research Group and Digital Society Initiative, University of Zurich, Switzerland.
- 01/2020 - 09/2021: Machine Learning Researcher at Aflorithmic in London, United Kingdom.
- 10/2017 - 07/2018: Dr. Oetker GAP Year Program, which is designed to gain industry experience between Bachelor and Master education. I worked at three firms that are part of the Oetker Group: Bankhaus Lampe, Oetker Digital, OEDIV.
- 07/2016 - 09/2016: IT Intern at Dr. Oetker Australia in Melbourne, Australia.
Education
- 10/2017 - 04/2021: Master of Science Data Science, Queen Mary University of London, London, United Kingdom. Thesis Topic: A data driven approach to understand the relationship of climate and energy usage (Prof. Dr. Norman Fenton)
- 09/2015 - 01/2016: Exchange Term, CY Cergy Paris University in Paris, France
- 09/2013 - 06/2017: Bachelor of Science Economics, Gottfried Wilhelm Leibniz University, Hanover, Germany. Thesis Topic: A Quantitative Analysis of Machine Learning Algorithms and Ensemble Methods (Prof. Dr. Michael Breitner)
Research Interests
- Artificial Intelligence for Governments and the Public Sector
- Deep Learning
- Blockchain Applications
Publications
ZORA Publication List
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Publications
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From Information-Seeking to Information-Asking: Designing RefuGPT, a Chatbot for Ukrainian Refugees in Switzerland. Digital Government, 6, 44. https://doi.org/10.1145/3735140
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Using large language models for the assessment of sustainable forest investment projects Hawaii International Conference on System Sciences 2025 (HICSS-58), Honolulu.
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Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking (N. Yamashita, V. Evers, K. Yatani, X. S. DIng, B. Lee, M. Chetty, & P. Toups-Dugas, Eds.; No. 211; pp. 1–13). Association for Computing Machinery. https://doi.org/10.1145/3706599.3720125
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Biased by design: Leveraging AI biases to enhance critical thinking of news readers online. https://aisel.aisnet.org/ecis2025/hci/hci/8/
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Data-driven intelligence in crisis: The case of Ukrainian refugee management Government Information Quarterly, 101978. https://doi.org/10.1016/j.giq.2024.101978
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Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool Proceedings of the CHI Conference on Human Factors in Computing Systems, 491. https://doi.org/10.1145/3613904.3642805
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Overcoming intergovernmental data sharing challenges with federated learning Data & Policy, 6, e27. https://doi.org/10.1017/dap.2024.19
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Data-Driven Governance in Crises: Topic Modelling for the Identification of Refugee Needs Proceedings of the Annual International Conference on Digital Government Research, 1–11. https://doi.org/10.1145/3598469.3598470
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Federated learning as a solution for problems related to intergovernmental data sharing 56th Hawaii International Conference on System Sciences, Maui (HI). https://www.researchgate.net/publication/364308366_Federated_Learning_as_a_Solution_for_Problems_Related_to_Intergovernmental_Data_Sharing
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Can Artificial Intelligence Help Used-Car Dealers Survive in a Data-driven Used-Car Market? DESRIST 2022: 17th International Conference on Design Science Research in Information Systems and Technology, St Petersburg. https://doi.org/10.1007/978-3-031-06516-3_9