Projects per year
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.
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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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Green Is Less Greedy: Competition, Corruption, and Productivity in Green Public Procurement in Bulgaria
Poltoratskaia, V., Fazekas, M., Quintero, M. F. & Schiffbauer, M., 2026, (In press) In: Sustainable Development.Research output: Contribution to journal › Article › peer-review
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Learning from sanctioned government suppliers: a machine learning and network science approach to detecting fraud and corruption in Mexico
Medina-Hernández, M., Kertész, J. & Fazekas, M., 16 Jul 2026, In: Scientific Reports. 16, 1, 22382.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
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 -
Public Procurement's Long COVID: Emergency Responses and Shifting Corruption Risks in Europe
Fazekas, M., Veljanov, Z. & Abdou, A., 26 Jun 2026, In: Regulation and Governance. 40 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Revisiting the Link between Politicians’ Salaries and Corruption
Klasnja, M., Fazekas, M. & Al-Shaibani, A., 7 Apr 2026, In: British Journal of Political Science. 56, 10 p., e20.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Courses
Datasets
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Replication Data for: The role of agencification in achieving value-for-money in public spending
Fazekas, M. (Creator) & Cingolani, L. (Creator), Harvard Dataverse, 2019
DOI: 10.7910/dvn/x0tczs, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/X0TCZS
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
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Replication data for: Anti-corruption in aid-funded procurement: Is corruption reduced or merely displaced?
Fazekas, M. (Creator), David-Barrett, E. (Creator) & Fazekas, M. (Contributor), Harvard Dataverse, 2020
DOI: 10.7910/dvn/brznjg, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/BRZNJG
Dataset
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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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Public procurement cartels: A large-sample testing of screens using machine learning – Dataset
Fazekas, M. (Creator), Wachs, J. (Creator), Toth, B. (Creator) & Abdou, A. (Creator), ZENODO, 14 Nov 2025
Dataset