Resumen
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
orthy AI and responsible research and innovation. Lastly, FALCON
as defined specific key exploitable results and performance indicators for measuring its progress
and success.
