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

目前的证据表明，全球反腐败斗争面临着严峻挑战：决策缺乏充分的信息，腐败情况复杂而巨大，而衡量腐败迄今主要基于主观方法，缺乏适当的技术工具来支持反腐败。为了应对这些挑战，反腐败情报网专门用于支持在相关领域和司法管辖区内编写、更新和管理全面的腐败情报图片。这将通过多行为体、循证、数据驱动的方法，利用现有资产和合作伙伴先前的工作来实现。反腐败委员会将首先制定和验证可用于为政策决定提供信息的客观和可采取行动的腐败指标（单独和综合）。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，以支持腐败情报图片整个生命周期的管理。这将有助于进行全面的腐败风险评估、知情决策和改进反腐败执法。反腐败委员会将在四个腐败领域进行试点-边境口岸的腐败计划、盗贼统治者/寡头规避制裁、公共采购欺诈、政治公众人物的利益冲突-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）和其他关键行为者（即，政府技术提供者、学术界、金融中介机构、政策制定者、非政府组织和民间社会）。CIMCON的实施将是增量和迭代的，在SSH和技术专业知识之间形成协同效应，并将坚持可信赖的AI和负责任的研究和创新的原则。最后，该委员会确定了具体的关键可利用成果和业绩指标，以衡量其进展和成功。

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.