GI-ACE researchers Liz Dávid-Barrett and Mihály Fazekas use big data analysis from a recent World Bank procurement reform dataset to show how corruption is a moving target.
In a new report Liz David-Barrett, Mihaly Fazekas, Agnes Czibik, Bence Toth, and Isabelle Adam make observations and offer recommendations around their experience trying to gather procurement data in India.
Liz David-Barrett discusses importance of having the right teams in place to use the available data to fight corruption, as exemplified in recent workshop in Jamaica building on procurement work.
Where does pressure for public procurement transparency come from? Reflections from Uganda and Tanzania
Recent fieldwork in Tanzania and Uganda demonstrates the potential for data transparency to improve accountability will depend on commitment, not just to open data but also to pursue accompanying reforms that facilitate oversight and promote fair competition.
Why is collecting and analysing data about public procurement so damned difficult? Data scientists explain some common problems
In a new Red Flags Explainer, Liz David-Barrett, Mihaly Fazekas, Agnes Czibik, Bence Toth, and Isabelle Adam draw on their experience of building and analysing datasets of government procurement over the past ten years to answer some Frequently Asked Questions about their work.
Using ‘red flag’ indicators to identify corruption and analyse reform efforts in the procurement process
In this GI-ACE project, data is used to develop new proxy indicators of corruption risk, based on ‘red flags’ in the tendering process, and then used to test how patterns of corruption differ across contexts and whether anti-corruption efforts work.