Abstract
(Englisch)
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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.
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