Christoph Goessmann

PhD Candidate @ ETH Zurich
Law, Economics, and Data Science Group (Ash)

🔬 Research

• Data Science
• Equity & Fairness
• Development & Health

🧪 Apps

• SDG Monitor
  A web app that helps uncover und close development data gaps more systematically. Developed in close cooperation with the 🇺🇳 United Nations.

📄 Publications & Working Papers

• (1) In-group bias in the Indian judiciary: Evidence from 5 million criminal cases
  with Elliott Ash, Sam Asher, Aditi Bhowmick, Sandeep Bhupatiraju, Daniel Chen, Tanaya Devi, Paul Novosad, and Bilal Siddiqi
  Review of Economics and Statistics (RESTAT) (conditionally accepted)
  → Download our data → Try our gender classifier for Indian names → Check out our code
  🏆 Best Paper at ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) '21
  
  Media Coverage: Hindustan Times, The Telegraph (India), The Indian Express, Economic & Political Weekly, Bar and Bench, The Print

• (2) Cable news and COVID-19 vaccine uptake
  with Matteo Pinna and Léo Picard
  Scientific Reports 12, 16804
  → Replication package
  🏆 Journal Top 100 - 2022 (out of > 21k)
  
  Media Coverage: The New York Times, The Washington Post (1), The Washington Post (2), The Atlantic, VoxEU.org Column/Podcast, MSNBC

• (3) Scaling Laws: Legal and Social Complexity in U.S. Localities
  with Elliott Ash and Suresh Naidu
  Philosophical Transactions of the Royal Society A
  

• (4) Pulse of Progress: The State of Global SDG Data in 2023
  with Priscilla Idele, Kersten Jauer, Martin Loinig, Claire Melamed, and Tomas Zak
  United Nations, 15 September 2023
  

🎓 CV

Education

• 2020-
  PhD Candidate
  (ETH Zurich)
• 2019
  MSc Biomedical Engineering
  (ETH Zurich)
• 2017/18
  Study Abroad
  (Duke University)
• 2017
  BSc Physics
  (Humboldt Univ. of Berlin)

Experience

• 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
  IT Project Lead
  

Teaching

• S2024
  Data Science for Public Policy:
  From Econometrics to AI
• S2023
  Big Data for Public Policy
• F2022
  Technology and Public Policy (CAS TPP)
• F2020
  Data Science for Decision-Making
• S2020
  Big Data for Public Policy

Coding

❤️ Python + PostgreSQL ❤️

📬 Contact

ETH Zurich
Center for Law & Economics
IFW Building, Room E46
Haldeneggsteig 4
8092 Zurich, Switzerland

christoph.goessmann[at]gess.ethz.ch

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© 2022 Christoph Goessmann