State-of-the-art Corruption Risk Measurement with Connected Administrative Data

A Use Case Linking Local Spending and Political Alignment
An introduction to how large administrative datasets can be combined to quantify
corruption risks, followed by a case study linking public procurement and electoral
data to explore how local spending patterns and political alignment changes may
interact.
Presenters:
Ágnes Czibik (GTI)
Managing director of the Government Transparency Institute. Expertise in using large
administrative datasets and robust quantitative analysis to provide tools for
evaluating government performance and promoting transparency.
Dániel Kofrán (GTI)
Dániel Kofrán is a Senior Quantitative Analyst at GTI, specialising in the use of large
administrative datasets to quantify corruption risks. He has worked on several
international initiatives aimed at improving integrity in public procurement and
advancing data-driven approaches to corruption risk detection.
Chair:
Mihály Fazekas (CEU)
Mihály Fazekas is an associate professor at the Central European University,
Department of Public Policy, with a focus on using Big Data methods to understand
the quality of government globally.
Organised by Government Transparency Institute (GTI)
with the support of University of Bologna and S-Com AISBL
Please register via the following link: https://forms.gle/wfUkE6ugWEABaDoT8

