Stefano Balietti, Ph.D.
Post-Doktorand am Lehrstuhl für Data Science in den Wirtschafts- und Sozialwissenschaften
Forschungsschwerpunkte
- consensus formation, social influence, and polarization;
- governance in blockchain systems;
- incentives schemes for collective intelligence, in particular peer review systems;
- optimal experimental designs, Bayesian optimization with Gaussian processes;
- socio-economic inequality, perception thereof and its externalities;
- philosophy of science, in particular Paul Feyerabend's body of work.
Lebenslauf
| 2019–2022 | Alfred-Weber Institute of Economics at Heidelberg University, Postdoc; Center for European Social Science Research at Mannheim University (MZES), Fellow |
| 2018–2019 | Microsoft Research Computational Social Science, Postdoc Researcher |
| 2016–2018 | Northeastern Network Science Institute and fellow at Harvard Institute for Quantitative Social Science, Postdoc |
| 2015 | ETH Zurich, Postdoc in the group of Computational Social Science |
| 2011–2015 | ETH Zurich, PhD student in the group of Computational Social Science |
| 2009–2011 | ETH Zürich, Research Assistant at the Chair of Sociology in particular Modelling and Simulation |
| 2005–2008 | University Politecnica Delle Marche, M.Sc Economics and Corporate |
| 2002–2005 | University of Bologna B.Sc Internet Science, |
Ausgewählte Publikationen
- Balietti, S. (2021). Technical perspective: Does your experiment smell? Communications of the ACM, 64, 107.
- Balietti, S., Getoor, L., Goldstein, D. G. und Watts, D. J. (2021). Reducing opinion polarization: Effects of exposure to similar people with differing political views. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 118, 1–11.
- Balietti, S., Klein, B. und Riedl, C. (2021). Optimal design of experiments to identify latent behavioral types. Experimental Economics, 24, 772–799.
- Balietti, S. und Riedl, C. (2021). Incentives, competition, and inequality in markets for creative production. Research Policy, 50, 1–35.