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Mihály Fazekas

Dr. Mihály Fazekas has been pioneering the use of ‘Big Data’ for social sciences research, especially for measuring and analysing corruption and administrative quality across Europe. He uses mixed research methods while working in interdisciplinary teams of IT specialists, practitioners, and social scientists in order to collect, structure, and clean large administrative datasets generated by governments. One of his primary areas of work is public procurement and high-level corruption.

Current Position

Research Associate, University of Cambridge, UK

Academic Qualifications

Ph.D. in Sociology, University of Cambridge, UK, 2014

M.A. in Public Policy, Hertie School of Governance, Berlin, 2009

MSc. in Economics, Corvinus University of Budapest, Budapest, 2007

M.A. in Pedagogy, Corvinus University of Budapest, Budapest, 2007

Research Interests

Corruption, Quality of Government, Bureaucracy, Institutional Economics, Economic Sociology, Political Sociology, Comparative Political Economy, Data Mining

Major Grants

ANTICORRP: “Anticorruption policies revisited. Global Trends and European Responses to the Challenge of Corruption” EU FP7 financed large-scale research project, 2012-2017, associate researcher with project partner: Corruption Research Center Budapest.

DIGIWHIST: “The Digital Whistleblower. Fiscal Transparency, Risk Assessment and Impact of Good Governance Policies Assessed” EU Horizon 2020 financed large-scale research project, 2015-2018, scientific coordinator at the University of Cambridge

Selected Publications

Fazekas, M., Chvalkovska, J., Skuhrovec, J., Tóth, I. J., and King, L. P. (2014). Are EU funds a corruption risk? The impact of EU funds on grand corruption in Central and Eastern Europe. In A. Mungiu-Pippidi (Ed.), Controlling Corruption in Europe vol. 2 (pp. 68–89). Berlin: Barbara Budrich Publishers.

Lianos M. and Fazekas, M. (2014). A coat of many colours: building a taxonomy of Impact Assessment practices in Europe (in French), Revue française d’administration publique, No. 149.

Fazekas, M. (2014). The Use of ‘Big Data’ for Social Sciences Research: An Application to Corruption Research. SAGE Research Methods Cases, see:

Fazekas, M., Tóth, I. J., & King, L. P. (2013). Anatomy of grand corruption: A composite corruption risk index based on objective data, CRC-WP/2013:02, Budapest: Corruption Research Centre.

Fazekas, M., Tóth, I. J., & King, L. P. (2013). Corruption manual for beginners: 'Corruption techniques' in public procurement with examples from Hungary, CRC-WP/2013:01, Budapest: Corruption Research Centre.

Fazekas, M., Tóth, I. J., & King, L. P. (2013). Hidden Depths. The Case of Hungary. In A. Mungiu-Pippidi (Ed.), Controlling Corruption in Europe vol. 1 (pp. 74–82). Berlin: Barbara Budrich Publishers.

Fazekas, M. and T Burns (2012). Exploring the complex interaction between governance and knowledge. Synthesis of the literature. OECD Education Working Papers, No. 67, OECD Publishing, Paris.

Fazekas, M. (2012). School Funding Formulas. Review of main characteristics and impacts. OECD Education Working Papers, No. 6747, OECD Publishing, Paris


Curriculum Vitae

  • Position: Research Associate
  • E-mail:
  • Address: Department of Sociology, Free School Lane, Cambridge CB2 3RQ
  • Website: