Project description
Enlisting data analytics in the fight against corruption
The battle against corruption has encountered significant hurdles, from the lack of informed policy decisions to the complexity of the corruption landscape. Existing efforts to measure corruption often rely on subjective methods, and the absence of suitable technological tools compounds the challenge. With this in mind, the EU-funded FALCON project will create and manage comprehensive corruption intelligence pictures within specific domains and jurisdictions. Using a data-driven, multi-actor approach, it builds on existing assets and partner expertise. Specifically, FALCON will develop corruption indicators to inform policy decisions using data analytics tools. This will facilitate comprehensive corruption risk assessments, enhance policymaking and improve anti-corruption law enforcement.
Objective
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.
Fields of science
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
106 82 ATHINA
Greece
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Participants (22)
80686 Munchen
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LT-01403 Vilnius
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
57001 Thermi Thessaloniki
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00144 Roma
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153 41 Aghia Paraskevi Athina
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46022 Valencia
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20009 Donostia San Sebastian
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00186 Roma
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67081 Strasbourg
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6000 Kecskemet
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20123 Milano
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20123 Milano
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
405 30 Goeteborg
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03982 WARSAW
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1574 Sofia
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2001 CHISINAU
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75800 Paris
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11000 Belgrade
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1202 Sofia
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SECTORUL 2 Bucuresti
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
700469 Iasi
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03116 Vilnius
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
S1 1WB Sheffield
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
4051 Basel
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
4051 Basel
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