Christoph Goessmann

✍🏻 Work in Progress

• Courts of Tomorrow: Evidence from a Nationwide Introduction of Generative AI (NBER Summer Institute 2026)
  with E. Ash and S. Mehmood

🌍 SDG Monitor

• https://sdg-monitor.ethz.ch
  An analytics platform that helps uncover and close development data gaps more systematically. Developed in close cooperation with the 🇺🇳 United Nations.

🇺🇳 Policy Report

• Pulse of Progress: The State of Global SDG Data in 2023
  with P. Idele, K. Jauer, M. Loinig, C. Melamed, and T. Zak
  

📄 Selected Publications

• In-Group Bias in the Indian Judiciary: Evidence from 5 Million Criminal Cases
  with E. Ash, S. Asher, A. Bhowmick, S. Bhupatiraju, D. Chen, T. Devi, P. Novosad, and B. Siddiqi
  Review of Economics and Statistics
  → Try our deep learning classifier
  
  🏆 Best Paper at ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS)
  

• Cable News and COVID-19 Vaccine Uptake
  with M. Pinna and L. Picard
  Scientific Reports
  
  🏆 Journal Top 100 - 2022 (out of > 21k)
  
  Media Coverage: The New York Times, The Washington Post (1, 2), The Atlantic, VoxEU.org Column/Podcast, MSNBC

🎓 CV

Experience

• 2024-26
  Postdoctoral Researcher
  (Imperial)
• Director of Research
  (Development Data Lab)
• 2023
  Data Scientist
  (United Nations)
• 2022
  Analyst
  (United Nations)
• 2021-22
  Data Science Fellow
  (United Nations)
• 2019-21
  Data Engineer
  (World Bank DE JURE)
• 2010-17
  Technology Lead
  (Meuser Architekten GmbH)

Education

• 2025
  PhD Data Science & Economics
  (ETH Zurich)
• 2019
  MSc Biomedical Engineering
  (ETH Zurich)
• 2017/18
  Study Abroad
  (Duke University)
• 2017
  BSc Physics
  (Humboldt Univ. of Berlin)

Coding

❤️ Python + PostgreSQL ❤️

📬 Contact

c.goessmann[at]imperial.ac.uk

LinkedIn | GitHub | Google Scholar

© 2026 Christoph Goessmann