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
Fingerprint
- 1 Similar Profiles
Projects
- 2 Active
-
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
-
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
-
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 -
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 -
Using Beneficial Ownership Data for Systematic Risk Assessment in Public procurement: The Example of 6 European Countries
Arista, I. T., Fazekas, M. & Volkotrub, A., 5 May 2026, In: European Journal on Criminal Policy and Research.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
-
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
Courses
Datasets
-
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
-
GTI Global Public Procurement Dataset (GPPD) 2/2
Fazekas, M. (Contributor), Toth, B. (Contributor), Alshaibani , A. (Contributor) & Abdou, A. (Contributor), Mendeley Data, 8 Mar 2024
DOI: 10.17632/w9mzf4vswh.3, https://data.mendeley.com/datasets/w9mzf4vswh
Dataset
-
Development Aid Contracts Database: World Bank, Inter-American Development Bank, and EuropeAid
Fazekas, M. (Contributor), Kazmina, Y. (Contributor), Abdou, A. (Creator) & Regos, N. (Contributor), Mendeley Data, 5 May 2022
DOI: 10.17632/5mb3j5953f.4, https://data.mendeley.com/datasets/5mb3j5953f
Dataset
-
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
-
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