Analytics for Integrity: Enhancing Integrity Risk Assessments through Data-Driven Approaches

OECD (2019). Analytics for Integrity: Enhancing Integrity Risk Assessments through Data-Driven Approaches. Available at:

Effective risk management in infrastructure projects relies on strategic and robust risk assessments in order for managers to identify risks and adapt controls to mitigating them. Risk assessments are often qualitative, relying on observations of employees and experts involved in the projects. To complement these perception-based approaches, those responsible for managing risks in infrastructure—project managers, procurement officials and risk managers—can take advantage of data analytics to further isolate risks and ensure they calibrate control activities appropriately. Doing so, requires investments and planning, and avoiding ad …

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Validating objective corruption risk indicators that use donor project and contract data

Fazekas, M. & Márk, L. (2017). Objective corruption risk indicators using donor project and contract data. GTI-R/2017:02, Budapest, Government Transparency Institute, September 2017.

To validate our red flags we use macro level perception-based indicators and test if these move together with the country-level averages of our red flags. We also try to find testable micro level relationships either on contract- or project-level data and check if different red flags are consistent with each other. The three donors largely differ in the range of available variables and red flags. World Bank data is the richest, while we have much more limited

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Social capital predicts corruption risk in towns

Wachs, J., Yasseri, T., Lengyel, B., Kertész, J. (2019). Social capital predicts corruption risk in towns. Royal Society Open Science 6: 182103.

Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relationship between social structure and the prevalence of corruption, yet, large-scale empirical studies thereof have been missing due to lack of data. In this paper, we relate the structural characteristics of social capital of settlements with corruption in their local governments. Using datasets from Hungary, we quantify corruption risk …

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Big Data Analytics for Social Science Research

Mihály Fazekas has contributed two presentations to the SAGE Research Methods Video Platform on Data Science, Big Data Analytics, & Digital Methods.


Video 1: Introduction to Big Data for Social Science Research

Mihály Fazekas discusses using big data for social science research including, new data sources and what they can help achieve, the difference between big data and traditional research methodology, and the collection and analysis of big data.

Video 2: Using Big Data to Measure Formidable Concepts: The Case of Government Contracts Data & Corruption Measurement

Mihály Fazekas discusses the use of big data to measure government contracts …

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