Photo: UNODC
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Global Conference on Harnessing Data to Improve Corruption Measurement

Photo: UNODC
Photo: UNODC

Global Conference on Harnessing Data to Improve Corruption Measurement

Through interactive panels, experts will discuss topics such as the development of a UN statistical framework to measure corruption.

Measuring corruption is essential for understanding its causes, consequences and trends, as well as for designing and evaluating effective responses. By developing reliable and comparable indicators and data, we can enhance transparency, accountability and evidence-based policymaking in the fight against corruption.

From 31 August to 1 September 2023, the United Nations Office on Drugs and Crime (UNODC) and the International Anti-Corruption Academy (IACA) are joining forces in hosting the first Global Conference on Harnessing Data to Improve Corruption Measurement. The conference will be held in hybrid format in Vienna, Austria. 

The conference aims to bring together policymakers, scientists, practitioners and experts from governments, civil society and academia, to provide a forum to exchange knowledge, experiences and good practices in measuring corruption and the impact of anti-corruption measures.

Through interactive panels, experts will discuss topics such as the development of a UN statistical framework to measure corruption, user-centred approaches to measurement or the use of technology in the collection, analysis and use of data.

RMN Digital

About RMN Digital

Rakesh Raman is a national award-winning journalist and founder of the humanitarian organization RMN Foundation. With over 30 years of experience in technology management and editorial research, he serves as a Country Expert for India with the Varieties of Democracy (V-Dem) Project (University of Gothenburg). Formerly an edit-page tech columnist for The Financial Express and a digital media expert for the United Nations (UNIDO), Rakesh specializes in the intersection of AI, governance, and human rights. For the past 15 years, he has managed the Raman Media Network (RMN), a global news service including rmndigital.com and rmnnews.com. His investigative work includes forensic research reports on election integrity and corruption, archived as open-access publications on Zenodo. As an AI and transformative technology expert, he develops frameworks for Agentic AI in e-governance and authored the AI for Kids Picture Book. His work is recognized by international bodies like Reporters Without Borders (RSF) for its focus on transparency and democratic accountability.
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