Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
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Dive into the research topics where Mihaly Fazekas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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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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., 25 Jan 2025, In: Regulation and Governance.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 -
Data analytics for anti-corruption in public procurement
Poltoratskaia, V. & Fazekas, M., 27 Mar 2024, Routledge Handbook of Public Procurement Corruption. Taylor and Francis, p. 42-59 18 p.Research output: Contribution to Book/Report types › Chapter › peer-review
Datasets
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Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning
Fazekas, M. (Creator), Veljanov, Z. (Creator) & de Oliveira, A. B. (Creator), Figshare, 2024
DOI: 10.6084/m9.figshare.c.7350478.v1, https://springernature.figshare.com/collections/Predicting_pharmaceutical_prices_Advances_based_on_purchase-level_data_and_machine_learning/7350478/1
Dataset
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Replication Data for: Agency independence, campaign contributions, and favouritism in US federal government contracting
Fazekas, M. (Creator), Ferrali, R. (Creator), Wachs, J. (Creator) & Wachs, J. (Contributor), Harvard Dataverse, 2022
DOI: 10.7910/dvn/3u07ee, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/3U07EE
Dataset
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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
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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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Replication Data for: The role of agencification in achieving value-for-money in public spending
Fazekas, M. (Creator), Cingolani, L. (Creator) & Fazekas, M. (Contributor), Harvard Dataverse, 2019
DOI: 10.7910/dvn/x0tczs, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/X0TCZS
Dataset