Data Analytics for Anticorruption in Public Administration
The World Bank’s anticorruption program has been helping to strengthen transparency and make better use of the growing availability of data to develop a stronger evidence base for anticorruption. The goal is to bring high-definition transparency to policy reform with insights that reflect the nature of corruption problems and their impacts across different levels of government, sectors, and contexts.
A Symposium on Data Analytics and Anticorruption was co-hosted by the World Bank and the Korea Development Institute School of Public Policy and Management on October 25-28. The four-day event was launched last year with a Call for Papers, 26 of which were selected for the Symposium. The papers cover four thematic areas: New data-driven approaches to detecting and measuring corruption; Using new data sources and methods to measure the impacts of corruption; Using open data to assess the effectiveness of anticorruption tools, policies, and interventions; Contributing new knowledge on data access, quality, and privacy issues.
The Symposium brought together researchers working to advance anticorruption data analytics to help inform more effective policies and actions by governments for greater accountability in public administration. Replay all the sessions by clicking here.