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Using big data techniquesto monitor corruption risks in publicly available information: A technical guide

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Published 14 Tháng sáu 2024

  English 

How big data can reveal corruption in Natural Resources supply chains

Emerging big data technology can highlight where bribery and corruption are likely to occur in wildlife trade supply chains, a new TRAFFIC publication shows. 

Using big data techniques to monitor corruption risks in publicly available information: A technical guide

Report author(s):
Antony Bagott, Gabriel Šípoš

Publication date:
June 2024


Notes:

Foresty open data catalogue

To enable others to use this methodology and conduct similar work in their area of interest, TRAFFIC has also compiled over 120 sources of open data which are available to researchers around the world. They include information about logging permits, wildlife trade, public officials' assets and government contracts that could be essential in looking for corruption red flags. 


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The United States Agency for International Development (USAID) is responsible for the majority of overseas development assistance from the United States Government and works to end extreme poverty and promote resilient, democratic societies while advancing security and prosperity for America and the world. www.usaid.gov/

About Targeting Natural Resource Corruption (TNRC)

The Targeting Natural Resource Corruption (TNRC) project is working to improve biodiversity outcomes by helping practitioners to address the threats posed by corruption to wildlife, fisheries and forests. TNRC harnesses existing knowledge, generates new evidence, and supports innovative policy and practice for more effective anti-corruption programming. Learn more at tnrcproject.org.