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CCI SIGNED

Cutting Crime Impact – Practice-based innovation in preventing, investigating and mitigating high-impact petty crime

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CCI" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF SALFORD 

Organization address
address: THE CRESCENT 43
city: SALFORD
postcode: M5 4WT
website: www.salford.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 3˙095˙068 €
 EC max contribution 3˙095˙068 € (100%)
 Programme 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)
 Code Call H2020-SEC-2016-2017-2
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF SALFORD UK (SALFORD) coordinator 455˙015.00
2    DSP-GROEP BV NL (AMSTERDAM) participant 437˙177.00
3    Landeskriminalamt Niedersachsen DE (Hannover) participant 409˙872.00
4    RIJKSUNIVERSITEIT GRONINGEN NL (GRONINGEN) participant 282˙778.00
5    GREATER MANCHESTER POLICE UK (MANCHESTER) participant 236˙863.00
6    FORUM EUROPEEN POUR LA SECURITE URBAINE FR (PARIS) participant 230˙347.00
7    Departament d'Interior - Generalitat de Catalunya ES (Barcelona) participant 215˙582.00
8    THE NATIONAL POLICE OF THE NETHERLANDS NL (The Hague) participant 205˙728.00
9    GLOBAZ, S.A. PT (OLIVEIRA DE AZEMEIS) participant 200˙458.00
10    DPT - DEUTSCHER PRAVENTIONSTAG DE (KOLN) participant 155˙303.00
11    Politsei- ja Piirivalveamet EE (Tallinn) participant 133˙195.00
12    CAMARA MUNICIPAL DE LISBOA PT (LISBOA) participant 132˙745.00

Map

 Project objective

Petty crime has a significant negative impact on European citizens’ quality of life, community cohesion and the safety and security of the urban environment. The aim of the Cutting Crime Impact (CCI) project is to enable Law Enforcement Agencies (LEAs) and security policymakers to adopt a preventative, evidence-based and sustainable approach to tackling high-impact petty crime. Tailored to the needs of end-users, CCI will design, develop and demonstrate four Toolkits covering: (i) predictive policing; (ii) community policing; (iii) crime prevention through urban design and planning; and (iv) measuring and mitigating citizens’ feelings of insecurity. Using social science methods and innovation tools from the design industry, CCI will support LEAs in researching and innovating practical, evidence-based tools that meet end-users needs and operational contexts. In delivering CCI, LEAs will gain valuable experience in requirements capture, problem framing, ideation, concept generation, solution design and prototyping that is transferable to other areas. Practical consideration of ethical, legal and social issues throughout the project's research and innovation activities will ensure developed Toolkits help promote safe and secure towns and cities, without compromising fundamental human rights. All toolkits will be demonstrated in an operational setting to assess performance, and materials developed to support integration into LEA operations and foster wider implementation. CCI aims to encourage wider EU adoption of effective approaches to safety and security, and will develop an extended European Security Model that includes high-impact petty crime and citizens’ feelings of insecurity. CCI will result in greater openness to innovation and design approaches amongst LEAs and security policymakers across Europe, as well as demonstrate the value of practitioner-led approaches to EU-funded research and innovation projects.

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The information about "CCI" are provided by the European Opendata Portal: CORDIS opendata.

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