Fight Against Large-scale Corruption and Organised Crime Networks (FALCON)

打击大规模腐败和有组织犯罪网络（FALCON）

• 批准号: 10078194
• 金额: $ 33.4万
• 依托单位: SHEFFIELD HALLAM UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10078194
• 关键词: Fight; Against; Large; scale; Corruption

Current evidence suggests that the global fight against corruption faces serious challenges: policy decisions are not well informed, the corruption landscape is complex and enormous, while measuring corruption is so far mostly based on subjective approaches, and there is lack of appropriate technological tools to support anti-corruption. To address these challenges, FALCON is designed and dedicated to support the composition, update and management of comprehensive corruption intelligence pictures, within domains and jurisdictions of interest. This will be accomplished following a multi-actor, evidence-based, data-driven approach, building upon existing assets and prior work of consortium partners. FALCON will, first, develop and validate objective and actionable indicators (individual and composite) of corruption that can be used to inform policy decisions. Second, it will design, implement and integrate powerful data analytics tools, data pipelines and applications that support the management of the entire lifecycle of corruption intelligence pictures. This will enable comprehensive corruption risk assessment, informed policy making, and improved anticorruption law enforcement. FALCON will be piloted in four corruption domains – corruption schemes at border crossings, sanction circumvention by kleptocrats/oligarchs, public procurement fraud, conflicts of interest of politically exposed persons (PEPs) – involving law enforcement experts (police authorities and border guards) from six (6) European countries and other key actors (i.e., GovTech providers, academia, financial intermediaries, policy makers, NGOs, and civil society). FALCON’s implementation will be incremental and iterative, forming synergies between SSH and technological expertise, and will adhere to the principles of Trustworthy AI and responsible research and innovation. Lastly, FALCON has defined specific key exploitable results and performance indicators for measuring its progress and success.

目前的证据表明，全球反腐败斗争面临着严峻的挑战：政策决策缺乏充分的信息，腐败形势复杂而庞大，而衡量腐败迄今主要基于主观方法，并且缺乏适当的技术工具来支持反腐败。为了应对这些挑战，FALCON被设计并致力于支持在感兴趣的领域和司法管辖区内的综合腐败情报图片的组成、更新和管理。这将在现有资产和财团合作伙伴先前工作的基础上，采用多参与者、循证、数据驱动的方法来完成。首先，FALCON将开发和验证腐败的客观和可操作的指标（单独和综合），这些指标可用于为政策决策提供信息。其次，它将设计、实施和集成强大的数据分析工具、数据管道和应用程序，支持腐败情报图片的整个生命周期的管理。这将有助于全面评估腐败风险，制定明智的政策，并改善反腐败执法。FALCON将在四个腐败领域进行试点——边境口岸的腐败计划、盗贼/寡头规避制裁、公共采购欺诈、政治人物（pep）的利益冲突——涉及来自六(6)个欧洲国家的执法专家（警察当局和边防人员）和其他关键参与者（即GovTech提供商、学术界、金融中介机构、政策制定者、非政府组织和民间社会）。FALCON的实施将是增量和迭代的，在SSH和技术专长之间形成协同效应，并将坚持可信赖的人工智能和负责任的研究和创新原则。最后，FALCON定义了具体的关键可开发结果和性能指标，以衡量其进展和成功。