September 18, 2017
The head of CRCB participated as an expert in the consultation with the Commission of Budgetary Control of the European Parliament on Monday, September 18th, in Budapest, and presented the CRCB’s research results on corruption risks, intensity of competition, and the phenomenon of political favouritism in Hungarian public procurement.
The presentation: (PDF)
The handout: (PDF)
Data publication. The list of public tenders won by Orban’s close friends and read more
10 May 2017
Corruption risk demonstrates a deterioration in public spending. Transparency and publishing the list of tenders with highest corruption risks is a tool to fight against future corrupt activities.
The data reported/published here by CRCB aim to provide significant information by sharing all important elementary data of tenders with highest corruption risks in Hungary for the period 2010-2016 in a well-structured format. The source of information was the Hungarian government website (http://www.kozbeszerzes.hu/), read more
Transparency is a basic condition in spending public money.
This is true for EU funds collected from taxpayers of developed EU Member States. The data reported here by CRCB would like serve this aim by sharing all important elementary data of EU funded Hungarian projects and supported organizations for the period 2004-2012 in a well structured format. The sources of information were the Hungarian government websites, though they do not allow to download elementary data with a simple, structured format (xlsx or read more
June 17, 2015
A dataset and analysis codes are released to support the workshop held by Mihály Fazekas at the conference “Policy-making in the Big Data Era: Opportunities and Challenges” at the University of Cambridge on the 17th of June 2015. The data and codes are solely for demonstrating some interesting ways structured public procurement data can be used to measure favouritism in government contracting.
The presentation: (PDF)
UK government supplier data (2009-2013): Public procurement supplier-level dataset, half-yearly aggregation, read more