Objective
ASGARD has a singular goal, contribute to Law Enforcement Agencies Technological Autonomy and effective use of technology. Technologies will be transferred to end users under an open source scheme focusing on Forensics, Intelligence and Foresight (Intelligence led prevention and anticipation). ASGARD will drive progress in the processing of seized data, availability of massive amounts of data and big data solutions in an ever more connected world. New areas of research will also be addressed. The consortium is configured with LEA end users and practitioners “pulling” from the Research and Development community who will “push” transfer of knowledge and innovation. A Community of LEA users is the end point of ASGARD with the technology as a focal point for cooperation (a restricted open source community). In addition to traditional Use Cases and trials, in keeping with open source concepts and continuous integration approaches, ASGARD will use Hackathons to demonstrate its results. Vendor lock-in is addressed whilst also recognising their role and existing investment by LEAs. The project will follow a cyclical approach for early results. Data Set, Data Analytics (multimodal/ multimedia), Data Mining and Visual Analytics are included in the work plan. Technologies will be built under the maxim of “It works” over “It’s the best”. Rapid adoption/flexible deployment strategies are included. The project includes a licensing and IPR approach coherent with LEA realities and Ethical needs. ASGARD includes a comprehensive approach to Privacy, Ethics, Societal Impact respecting fundamental rights. ASGARD leverages existing trust relationship between LEAs and the research and development industry, and experiential knowledge in FCT research. ASGARD will allow its community of users leverage the benefits of agile methodologies, technology trends and open source approaches that are currently exploited by the general ICT sector and Organised Crime and Terrorist organisations.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
20009 Donostia San Sebastian
Spain
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Participants (34)
2064 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1210 Wien
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08034 Barcelona
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1010 Wien
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10177 Athina
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1190 Wien
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57001 Thermi Thessaloniki
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75015 PARIS 15
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9 Dublin
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00144 Roma
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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.
38123 Trento Tn
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SW1P 4DF London
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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.
SP4 0JQ Salisbury
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1000 029 Lisboa
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D15 HN66 DUBLIN
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00187 Rome
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44801 Bochum
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75800 Paris
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28071 Madrid
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1000 Bruxelles / Brussel
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10226 Stockholm
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2490 AA The Hague
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2595 DA Den Haag
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1149-019 Lisboa
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02151 Espoo
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1300-609 LISBOA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28231 LAS ROZAS DE MADRID
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
164 90 Stockholm
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41121 Modena
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1012WX Amsterdam
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4 Dublin
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78464 Konstanz
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BT52 1SA Coleraine
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1000 Bruxelles / Brussel
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