Explore the words cloud of the COPKIT project. It provides you a very rough idea of what is the project "COPKIT" about.
The following table provides information about the project.
INGENIERIA DE SISTEMAS PARA LA DEFENSA DE ESPANA SA-SME MP
|Coordinator Country||Spain [ES]|
|Total cost||4˙986˙973 €|
|EC max contribution||4˙986˙973 € (100%)|
1. H2020-EU.3.7.6. (Ensure privacy and freedom, including in the Internet and enhance the societal, legal and ethical understanding of all areas of security, risk and management)
2. H2020-EU.3.7.1. (Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs)
|Duration (year-month-day)||from 2018-06-01 to 2021-05-31|
Take a look of project's partnership.
|1||INGENIERIA DE SISTEMAS PARA LA DEFENSA DE ESPANA SA-SME MP||ES (MADRID)||coordinator||759˙325.00|
|2||THALES NEDERLAND BV||NL (HENGELO OV)||participant||1˙015˙268.00|
|3||LEGIND TECHNOLOGIES AS||DK (ESBJERG)||participant||379˙275.00|
|4||UNIVERSIDAD DE GRANADA||ES (GRANADA)||participant||365˙750.00|
|5||IBM IRELAND LIMITED||IE (Ballsbridge)||participant||364˙250.00|
|6||AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH||AT (WIEN)||participant||353˙492.00|
|7||MINISTERE DE L'INTERIEUR||FR (PARIS)||participant||272˙750.00|
|8||MINISTERIO DEL INTERIOR||ES (MADRID)||participant||254˙375.00|
|9||KENTRO MELETON ASFALEIAS||EL (ATHINA)||participant||223˙062.00|
|10||HOCHSCHULE FUR DEN OFFENTLICHEN DIENST IN BAYERN||DE (MUNCHEN)||participant||181˙925.00|
|11||POLICE FEDERALE BELGE||BE (Brussels)||participant||163˙375.00|
|12||PRAVO I INTERNET FOUNDATION||BG (SOFIA)||participant||144˙000.00|
|13||TRILATERAL RESEARCH LTD||UK (LONDON)||participant||121˙343.00|
|14||TRILATERAL RESEARCH LIMITED||IE (DUNDALK LOUTH)||participant||113˙843.00|
|15||IEKSLIETU MINISTRIJAS VALSTS POLICIJA STATE POLICE OF THE MINISTRY OF INTERIOR||LV (Riga)||participant||82˙250.00|
|16||GLAVNA DIREKTSIA BORBA S ORGANIZIRANATA PRESTUPNOST||BG (SOFIA)||participant||78˙000.00|
|17||Inspectoratul General al Politiei Romane||RO (Bucuresti)||participant||68˙000.00|
|18||VIENNA CENTRE FOR SOCIETAL SECURITY - VICESSE, WIENER ZENTRUM FUR SOZIALWISSENSCHAFTLICHE SICHERHEITSFORSCHUNG||AT (VIENNA)||participant||46˙687.00|
'The COPKIT project addresses the problem of analysing, preventing, investigating and mitigating the use of new information and communication technologies by organised crime and terrorist groups. This question is a key challenge for policy-makers and LEAs due to the complexity of the phenomenon, the quantity of factors and actors involved, and the great set of criminal and terrorist technological activities in support of OC and terrorist actions. It is a clear VUCA world effect (volatility, uncertainty, complexity and ambiguity). EUROPOL who is involved in COPKIT as head of its Advisory Board, in this year’s SOCTA 2017 report 'Crime in the Age of Technology' states that 'This is now, perhaps, the greatest challenge facing LEAs around the world'. COPKIT proposes an intelligence-led Early Warning (EW) / Early Action (EA) system, directly related to the methodological approach used by EUROPOL in SOCTA. “Intelligence-led policing” offers a framework to guide operations, prioritizing needs and optimizing resources. EW explain how crimes are evolving, identifying 'weak signals', warnings, new trends, and being a basis for assisting decision makers, both strategic and operational levels, in order to develop EA (preparedness, mitigation, prevention and other security policies). Our project, with 17 European organizations from 13 countries participating (9 of them LEAs from 8 countries, one of them leader of EMPACT firearms) and with EUROPOL leading support, aims to create such a technological intelligence and knowledge ecosystem for LEAs, to fight OCT. COPKIT will comprise several phases: (1) developing and applying a EW/EA system and applying it to use-cases, (2) developing a toolkit for knowledge production and exploitation, tested by LEAs in their premises, (3) ensuring respects to EU legal and ethical principles, (4) developing innovative curricula for all aspects of the EW/EA methodology and eco-system to facilitate the uptake by LEAs.'
|year||authors and title||journal||last update|
Carlos Fernandez-Basso, Abel J. Francisco-Agra, Maria J. Martin-Bautista, M. Dolores Ruiz
Finding tendencies in streaming data using Big Data frequent itemset mining
published pages: 666-674, ISSN: 0950-7051, DOI: 10.1016/j.knosys.2018.09.026
|Knowledge-Based Systems 163||2020-04-25|
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The information about "COPKIT" are provided by the European Opendata Portal: CORDIS opendata.
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