PRIME
UCLKing's College LondonUniversity of AarhusHebrew University JerusalemUniversity of LeidenUniversity of Warsaw

Deliverables

Project deliverables will be shared as and when they are approved for public dissemination.

D2.1 Ethical Research Framework

Delivered 03/10/14 (Version 1)

In conformity with the European Commission's commitment that publicly funded research carried out under its auspices abide by the highest standards of ethical scientific practice, and in conformity with the wider principles upheld by the European Union, the PRIME Project has committed to working alongside an Independent Ethics Advisor and to adopting an Ethical Research Framework (ERF), which guides and constrains the research and dissemination activities of the Project's partners. This deliverable, led by UCL, sets out that framework. 

D2.2 Standard Informed Consent Form and Information Sheets

Delivered 31/10/14 (Version 1) Revised 30/04/2016 (Version 2)

D2.2, coordinated by UCL, contains samples of a study information sheet for the PRIME project and of a consent form for human subjects taking part in research activities under the PRIME Project, which are to be used as customisable templates by PRIME researchers in the conduct of their work. 

D2.3 Institutional Data Controller Information

Delivered 10/11/14 (Version 1)

This deliverable, coordinated by UCL, aggregates the technical and policy information provided by the data controllers of each institution involved in the PRIME Consortium: University College London (Coordinator); King's College London; University of Warsaw; University of Aarhus; University of Leiden; and Hebrew University Jerusalem. 

D2.4 Stigmatisation, Discrimination and Social Exclusion Mitigation Plan

Delivered 25/03/15 (Version 1)

This document, produced by UCL, first sets out definitions of what is understood by the terms social exclusion, discrimination and stigmatisation within the context of PRIME; secondly, it identifies potential related issues deriving from the project's research activities; and, thirdly, it outlines the steps taken by the Project to mitigate the potential social harms that could arise out of the dissemination of work based on PRIME research. 

D2.5 Data Log

Delivered 31/10/14 (Version 1)

This deliverable, produced by UCL, provides a structured template to record any and all data sets gathered for the purpose of research activities conducted under the PRIME Project, in order to 1) evaluate whether collection is necessary and justified given the project's high-level (overall goals) and low-level (deliverables) objectives, and 2) monitor any transfer of data between PRIME researchers, and between the PRIME Consortium and third parties, to better guard against data mismanagement and misuse. 

D2.6 Context Analysis Report (Summary) 

Delivered 07/08/15 (Version 1) Revised 23/04/16 (Version 2)

Public summary published 07/07/16

Led by University of Warsaw, D2.6 contains presents a description of the range of identified contextual elements which may affect the relevance, adoption, implementation or exploitation of the PRIME Project's final deliverables (counter- and communication measures requirements portfolios), including differences in culture and legislation across Europe, as well as operational (law-enforcement-related and stakeholder-identified) constraints. A public summary of this deliverable is available through the link above. 

D2.7 Independent Ethics Advisor Interim Report

Delivered 27/10/15 (Version 1)

This report outlines the research activities undertaken by the Consortium to date, the ethical issues raised by these activities, and the steps undertaken by the PRIME Consortium to address them, as well as the outcome of these steps to date. It includes copies of documents obtained from ethics boards and other appropriate authorities. 

D3.1 Risk Analysis Framework (Full Report)

Delivered 31/10/15 (Version 1) Revised 11/05/16 (Version 2)

Public version published 07/07/16

Led by UCL, the purpose of this deliverable is to set out an analytical framework, which will 1) guide and motivate the project's data collection activities; and 2) provide the 'bare frame' around which to build LAEE scripts by identifying key categories of indicators associated with LAEEs, which are theorised to signposts opportunities for the prevention, disruption or mitigation of these events. The theoretical model described herein, based on prior work by the first author (Bouhana, UCL) is intended for use as a risk analysis framework (i.e. a model which sets out the relationships between categories of risk factors and indicators at different analytical levels). The full report is available at the link above. 

D3.2 Data Needs Inventory (Full Report)

Delivered 06/07/15 (Version 1) Revised 30/04/16 (Version 2)

Public version published 07/07/16

The deliverable, produced by UCL, inventories general categories of datasets and data required to produce LAEE subscripts, in order to inform the data collection efforts of the scripting teams, informed by the Risk Analysis Framework set out in D3.1. The resulting inventory is intended has an 'ideal-type' list of desirable data. Custom data collections instrument are included in appendix. A full public version of the deliverable is available through the link above. 

D4.1 Script Development Specifications

Delivered 07/08/2015 (Version 1) Revised 13/05/16 (Version 2)

D4.1 sets out what is meant by crime scripts in the context of PRIME. It outlines the key principles of crime scripting, including the components of crime scripts, highlights potential issues of script verification and validation, explains the relation between crime scripts and risk management, drawing on examples of high-level risk management models and problem-solving models, based on a bespoke model developed by the first author (Borrion, UCL). Specific data and meta-data required for the generation of scripts are clarified. 

D4.2 Script Tool Design Report

Delivered 27/10/15 (Version 1)

This deliverable reports on work carried out by UCL which investigates the application of Bayesian Network Analysis as a technique for generating relevant information to support crime scripting in the PRIME project. A crime scripting instrument is described, designed to reveal those events and factors that may contribute to an increase terrorism risk, based on the information collected by the radicalisation, attack preparation and attack scripting teams. It is intended to facilitate the identification of pinch points at which measures to prevent, disrupt or mitigate lone actor terrorist activities can be successfully implemented. 

D5.1 Lone Actor Radicalisation Data Inventory (Full Report)

Delivered 15/10/15 (Version 1) Revised 30/04/16 (Version 2)

Public version published 07/07/16

The objective of this deliverable is to present the approach adopted by the researchers of University of Aarhus in studying processes of lone actor radicalisation, including its benefits and limitations, to provide a detailed description of the data collection activities carried out so far, as well as activities which remain to be completed, and, to discuss expected outcomes. A full public version of the report is available at the above link. 

D5.2 Lone Actor Attack Preparation Data Inventory (Full Report)

Delivered 31/08/15 (Version 1) Revised 14/05/16 (Version 2)

Public version published 07/07/16

This deliverable outlines the methodological approach taken by the University of Leiden research team to study lone actor attack planning and preparation (LAAPP). In particular, the following topics are addressed: 1) The methodological considerations upon which the description of the LAAPP phase is based; 2) A description of the case selection process; 3) A look at the types of data collected so far and outstanding data needs; 4) A summary description of the work conducted up to this point in time and future steps. A full public version of the report is available through the link above. 

D5.3 Lone Actor Attack Data Inventory (Partial Report)

Delivered 19/10/15 (Version 1) Revised 12/05/16 (Version 2)

Public version published 07/07/16

This deliverable inventories the data on lone actor extremist attacks collected to date by the HUJI and UCL teams. It outlines the remaining data collection activities needed to meet the requirements for data collection set out in D3.2, provides a very preliminary description of the data, for which collection is largely completed, and outlines the limitations inherent in the research design adopted here and implications for the project's next steps.

D7.1 Countermeasures Review Report (Summary)

Delivered 30/10/15 (Version 1) Revised 11/04/15 (Version 2)

Public summary published 07/07/16

D7.1 presents the findings of a review of existing counter-measures used to defend against lone actor extremist events carried out by the University of Warsaw research team. The report identifies some of the existing strengths and weaknesses of these methods, and highlights areas or gaps to be addressed by further research activity. A public summary of this deliverable is available through the link above. 

D8.1 Communication Measures Review (Summary)

Delivered 30/10/15 (Version 1) Revised 30/04/16 (Version 2)

Public summary published 07/07/16

Led by the KCL team, in collaboration with Aarhus University, this deliverable summarises the findings of Task 8.1 of PRIME Work Package 8 "Communication Measures Requirements" (WP8). WP8 encompasses all activities involved in the formulation of requirements for communication measures aimed at preventing, interdicting or mitigating lone actor extremist events. The objective of this review was to analyse good practice and identify gaps in communication measures intended to defend against lone actor extremist events. This objective was met using four data sets: i) an academic literature review, ii) a review of public facing reports and documents (grey literature), iii) a media analysis and, iv) interviews with stakeholders. A public summary of this deliverable is available through the link above. 

D9.1 Dissemination Strategy and Dissemination Plan

Delivered 23/10/14 (Version 1)

This document sets out a strategy and a concrete plan of action for disseminating the project's findings and other outcomes.