国际野生物贸易研究组织：2024利用大数据技术监测开源信息中的腐败风险研究报告（英文版）（20页）.pdf

1、MARCH 2024Antony BagottGabriel poTO MONITOR CORRUPTION RISKS IN PUBLICLY AVAILABLE INFORMATION:A TECHNICAL GUIDEusing big data techniquesTRAFFIC REPORTABOUT US TRAFFIC is a leading non-governmental organisation working globally to ensure that trade in wild species is legal and sustainable,for the be

2、nefit of the planet and people.Reprod uction of material appearing in this report requires written permission from the publisher.The designations of geographical entities in this publication,and the presentation of the material,do not imply the expression of any opinion whatsoever on the part of TRA

3、FFIC or its supporting organisations concerning the legal status of any country,territory,or area,or of its authorities,or concerning the delimitation of its frontiers or boundaries.The research on which this Guide is founded was made possible by the generous support of the American people through t

4、he United States Agency for International Development(USAID).The contents are the responsibility of the authors and do not necessarily reflect the views of USAID,the United States Government,or individual Targeting Natural Resource Corruption(TNRC)consortium members.ABOUT About Targeting Natural Res

5、ource Corruption 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 p

6、olicy and practice for more effective anti-corruption programming.Learn more at tnrcproject.orgPublished by:TRAFFIC International,Cambridge,United Kingdom.SUGGESTED CITATIONBagott,A.,po,G.TRAFFIC(2024).Using Big Data Techniques to monitor corruption risks in publicly available information:a technica