TY  - GEN
N2  - 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).
ID  - discovery10052460
UR  - https://www.ucl.ac.uk/jill-dando-institute/sites/jill_dando_institute/files/prime_d3.1_risk_analysis_framework_public.pdf
PB  - UCL Jill Dando Institute of Security and Crime Science
CY  - London, UK
A1  - Bouhana, N
A1  - Thornton, A
A1  - Corner, E
A1  - Malthaner, S
A1  - Lindekilde, L
A1  - Schuurman, B
A1  - Perry, G
T3  - Risk Analysis Framework , Public Version
KW  - Terrorism
KW  -  Risk
KW  -  Radicalisation
KW  -  Lone actors
TI  - PRIME Deliverable D3.1:
PReventing, Interdicting and Mitigating Extremist events: Defending against lone actor extremism
Y1  - 2016/06/11/
AV  - restricted
EP  - 107
N1  - This version is the version of record. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -