Objective
HEMOLIA is a new generation Anti-Money Laundering (AML) intelligent multi-agent alert and investigation system which in addition to the traditional financial data makes extensive use of modern society’s huge telecom data source, thereby opening up a new dimension of capabilities to all Money Laundering fighters (FIUs, LEAs) and Financial Institutes (Banks, Insurance Companies, etc.). Adding the Telecom Plane to the existing Financial Plane may improve and dramatically change AML doctrines, since another dimension is added to the analysis and investigation processes.
HEMOLIA, taking into account existing legal frameworks, will hybridize and correlate the Financial and Telecom Planes in order to create richer and more accurate alerts, intelligence and investigation tools, as well as information sharing, both nationally and internationally. A major part of HEMOLIA will be the legal research and provision of legal guidelines to all ML fighters. To respect privacy rights HEMOLIA will bring a new model of Push Privacy Preserving Alerts where all FIUs and FIs are pushed with alerts that mark a transaction or customer with a money laundering / fraud risk level or risk probability, yet without disclosing any private data. This model may have outstanding impact on AML because it means that FIs will be alerted based on data of all other FIs and based on Telecom service providers at the national and international level, opening up a new era of Money Laundering and financial crime reporting by FIs to FIUs.
The HEMOLIA consortium includes 2 end users (Belgium FIU, Ministry of Justice of Poland) and 7 technological partners which bring together European SME’s, industries and academies, ranging from system and database design through to money laundering detection. HEMOLIA will be tested in an environment which simulates live network and systems of 3 different countries which have implemented the HEMOLIA concept and which will cooperate together to share AML information.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SEC-2010-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
46733 HERZLIYA
Israel
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Participants (12)
030256 BUCHAREST
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08172 SANT CUGAT DEL VALLES BARCELONA
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3543 KA Utrecht
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1081 HV Amsterdam
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1012 VH AMSTERDAM
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00 380 WARSZAWA
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50137 Wroclaw
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02-326 WARSZAWA
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02-486 WARSAW
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67067 TEL AVIV
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2500BZ The Hague
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1081 HV Amsterdam
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