Personal profile
Research interests
Mihaly Fazekas is a full professor at the Central European University, Department of Public Policy, with a focus on using data science methods to understand the quality of government globally. He is also the scientific director of an innovative think-tank, the Government Transparency Institute. He has a PhD from the University of Cambridge where he pioneered data science methods to measure and understand high-level corruption in Central and Eastern Europe.
His research and policy interests revolve around corruption, favouritism, private sector collusion, and government spending efficiency. Methodologically, he has experience in both quantitative and qualitative methods in diverse fields such as public policy, data science, and political science. He worked at the University of Cambridge as the scientific coordinator of the Horizon 2020 funded project DIGIWHIST which used data science approaches to measuring corruption risks, administrative capacity, and transparency in public procurement in 33 European countries. His articles appeared in diverse, high-quality journals such as the American Journal of Political Science, Journal of Public Administration Research and Theory, Governance, Regional Studies, World Development, Transportation Research Part A: Policy and Practice, Scientific Reports, the Lancet, and International Journal of Data Science and Analytics. His policy reports have been published by prestigious organisations such as the World Bank, the Inter-American Development Bank, the OECD, or the European Commission.
He regularly consults the European Commission, United Nations, OECD, World, Bank, and a range of national governments and NGOs across the globe. In 2020, he won the IMF's Anti-Corruption Challenge, leading an interdisciplinary team from across government and academia.
Related documents
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Projects
- 2 Active
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NET-ROL: Networks and the Rule of Law: Uncovering Socio-Economic Outcomes
Fazekas, M. (Main researcher at CEU), Bátory, Á. (Researcher) & Kertész, J. (Researcher)
European Commission - Horizon Europe - Collaborative Projects
1/03/25 → 29/02/28
Project: Research
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RESPOND: Rescuing Democracy from Political Corruption in Digital Societies
Fazekas, M. (PI), Bátory, Á. (Researcher) & Poltoratskaya, V. (Researcher)
European Commission - Horizon Europe - Collaborative Projects
1/05/24 → 30/04/29
Project: Research
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Public procurement cartels: A large-sample testing of screens using machine learning
Fazekas, M., Tóth, B., Wachs, J. & Abdou, A., Jan 2026, In: International Journal of Industrial Organization. 104, 21 p., 103228.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Data science meets political economy: Applications to legislative favouritism around the world
Benoît, C., Brenner, D. & Fazekas, M., 6 Feb 2025, Handbook on Governance and Data Science. Giest, S., Klievink, B., Ingrams, A. & Young, M. M. (eds.). Edward Elgar Publishing Ltd., p. 41-58 18 p.Research output: Contribution to Book/Report types › Chapter › peer-review
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The Impact of Emergencies on Corruption Risks: Italian Natural Disasters and Public Procurement
Fazekas, M., Nishchal, S. & Soreide, T., Oct 2025, In: Regulation and Governance. 19, 4, p. 1137-1157 21 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Collusion risk in corporate networks
Villamil, I., Kertész, J. & Fazekas, M., 7 Feb 2024, In: Scientific Reports. 14, 1, 3161.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Correction: Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning
Fazekas, M., Veljanov, Z. & de Oliveira, A. B., 15 Aug 2024, In: BMC Public Health. 24, 1, p. 2220 1 p.Research output: Contribution to journal › Comment/debate
Open AccessFile
Datasets
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The impact of emergencies on corruption risks: Italian natural disasters and public procurement
Fazekas, M. (Creator), Nishchal, S. (Contributor) & Soreide, T. (Contributor), Mendeley Data, 15 Jan 2025
DOI: 10.17632/gpfdstkzyd.1, https://data.mendeley.com/datasets/gpfdstkzyd
Dataset
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Replication Data for: Lights on the Shadows of Public Procurement - Transparency as an antidote to corruption
Czibik, A. (Creator), Fazekas, M. (Creator), Bauhr, M. (Creator), De Fine Licht, J. (Creator) & Czibik, A. (Contributor), Harvard Dataverse, 2019
DOI: 10.7910/dvn/ieyezb, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IEYEZB
Dataset
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Replication Data for: Partisan Procurement: Contracting with the United States Federal Government, 2003–2015
Dahlström, C. (Creator), Fazekas, M. (Creator), Lewis, D. E. (Creator), Dahlström, C. (Contributor) & Lewis, D. E. (Contributor), Harvard Dataverse, 2020
DOI: 10.7910/dvn/4nepi7, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/4NEPI7
Dataset
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GTI Hungarian Public Procurement dataset
Fazekas, M. (Creator) & Katona, E. (Creator), Mendeley Data, 11 Aug 2025
DOI: 10.17632/cj6njcvnbz
Dataset
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Replication Data for Revisiting the Link between Politicians' Salaries and Corruption
Klasnja, M. (Creator), Fazekas, M. (Creator) & Alshaibani, A. (Creator), Harvard Dataverse, 9 Feb 2026
DOI: 10.7910/dvn/tesjmm
Dataset