Gössmann, Christoph
Education
Ph.D. Candidate in Data Science and Economics (ETH Zurich)
Master in Biomedical Engineering, Medical Physics (ETH Zurich)
Bachelor in Physics (Humboldt University Berlin)
Biography
Christoph Goessmann is a Ph.D. Candidate at ETH Zurich's Center for Law & Economics and an Associate Researcher at the ETH AI Center. He holds an M.Sc. in Biomedical Engineering (Medical Physics) from ETH Zurich, received legal training at Duke University's School of Law, and obtained a B.Sc. in Physics from Humboldt University of Berlin.
In 2021/22, Christoph was a Fellow and Data Analyst in the Executive Office of the Secretary-General at the United Nations. He then founded the ETH Zurich SDG Monitor – a tool that identifies data gaps in sustainable development data and helps to close them.
From 2019 to 2021, Christoph worked on the World Bank's Data and Evidence for Justice Reform (DE JURE) project, harnessing the advent of big data availability in law and justice to uncover evidence on systematic gender and religious bias.
Research Overview
Christoph Goessmann is performing empirical research on legal and political institutions using tools at the intersection of data science and economics. Research topics include the structure and quality of health care systems, procedural fairness in courts, and accountability in international organizations like the United Nations.
In his work, Christoph applies methods from computer science, machine learning, and causal inference to large datasets using computer clusters.
Selected Works
- Pulse of Progress: The State of Global SDG Data in 2023 (with Priscilla Idele, Kersten Jauer, Martin Loinig, Claire Melamed & Tomas Zak), United Nations, 2023
- external pageCable News and COVID-19 Vaccine Uptakecall_made (with Matteo Pinna & Léo Picard), Scientific Reports 12, 16804 (2022).
- Measuring Gender and Religious Bias in the Indian Judiciary (with Elliott Ash, Sam Asher, Aditi Bhowmick, Daniel L. Chen, Tanaya Devi, Paul Novosa & Bilal Siddiqi), Center for Law & Economics Working Paper Series 03/2021, January 2021.