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| Funder | European Commission |
|---|---|
| Recipient Organization | Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston |
| Country | Greece |
| Start Date | Sep 01, 2023 |
| End Date | Aug 31, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 26 |
| Roles | Participant; Associated Partner; Third Party; Coordinator |
| Data Source | European Commission |
| Grant ID | 101121281 |
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.
Akki Atlathato Kormanyzas Kutatointezet Kft; Ethniko Kentro Erevnas Kai Technologikis Anaptyxis; Basel Institute On Governance; Fundacja Akademia Antykorupcyjna; Space Hellas Anonymi Etaireia Systimata Kai Ypiresies Tilepikoinonionpliroforikis Asfaleias - Idiotiki Epicheirisi Parochis Yperision Asfa; Universitat Basel; Institut Po Otbrana; Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev; Valstybes Sienos Apsaugos Tarnyba Prie Vidaus Reikalu Ministerijos; Universite de Strasbourg; Inspectoratul General Al Politiei; Fundacion Centro de Tecnologias de Interaccion Visual Y Comunicaciones Vicomtech; Radexpert Consulting & Managements.R.L.; Sheffield Hallam University; Glavna Direktsia Granichna Politsia; Abi Lab-Centro Di Ricerca E Innovazione Per la Banca; Crime and Tech Srl; Baltijos Pazangiu Technologiju Institutas; Ministarstvo Unutrasnjih Poslova Republike Srbije; Universitat Politecnica de Valencia; Engineering - Ingegneria Informatica Spa; Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston; Ministere de L'Interieur; Inspectoratul Teritorial Al Politiei de Frontiera Iasi; Goeteborgs Universitet; Universita Cattolica Del Sacro Cuore
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