Dataset Information

European Lone Actor Terrorists Versus "Common" Homicide Offenders: An Empirical Analysis.

ABSTRACT: The term "Lone Actor" has been applied to a variety of violent individuals who are thought to act out of ideological motivations using terrorist tactics. So far, much of the research is U.S.-based. There is an empirical vacuum of Lone Actor violence in Europe and a conceptual gap in how these acts may be understood as a variation of homicidal behavior. We examine and compare characteristics of European Lone Actors to European "common" homicide offenders. Lone Actor terrorists constitute a heterogeneous group that is similar to homicide offenders but differs in terms of substance use, weapon use, and target. These findings may be understood in the context of instrumental versus expressive aims.

SUBMITTER: Liem M

PROVIDER: S-EPMC6196579 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

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European Lone Actor Terrorists Versus "Common" Homicide Offenders: An Empirical Analysis.

Liem Marieke M van Buuren Jelle J de Roy van Zuijdewijn Jeanine J Schönberger Hanneke H Bakker Edwin E

Homicide studies 20171031 1

The term "Lone Actor" has been applied to a variety of violent individuals who are thought to act out of ideological motivations using terrorist tactics. So far, much of the research is U.S.-based. There is an empirical vacuum of Lone Actor violence in Europe and a conceptual gap in how these acts may be understood as a variation of homicidal behavior. We examine and compare characteristics of European Lone Actors to European "common" homicide offenders. Lone Actor terrorists constitute a hetero ...[more]

PMID: 30443150

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Project description:Highlights • The OIS concept can be used to analyse multi-actor co-innovation partnerships.• Co-innovation partnerships in agriculture and forestry occur in many forms.• Often based on existing networks, they mobilise complementary forms of knowledge.• ‘Outreach’ practices to foster dialogue with a ‘larger periphery’ are commonly used.• The ‘enabling environment’ affects the performance of the co-innovation partnership. Innovation rests not only on discovery but also on cooperation and interactive learning. In agriculture, forestry and related sectors, multi-actor partnerships for ‘co-innovation’ occur in many forms, from international projects to informal ‘actor configurations’. Common attributes are that they include actors with ‘complementary forms of knowledge’ who collaborate in an innovation process, engage with a ‘larger periphery’ of stakeholders in the Agricultural Knowledge and Innovation System (AKIS) and are shaped by institutions. Using desk research and interviews, we reviewed, according to the Organisational Innovation Systems framework, the performance of 200 co-innovation partnerships from across Europe, selected for their involvement of various actors ‘all along the process’. Many of the reviewed partnerships were composed of actors that had previously worked together and most interviewees believed that no relevant actors had been excluded. In almost all cases, project targets and objectives were co-designed to a great or some extent, and the mechanisms applied to foster knowledge sharing between partners were considered to be very effective. Great importance was attached to communication beyond the partnership, not simply for dissemination but also for dialogue, and most interviewees evaluated the communication/outreach performance of their partnership very highly. Most partnerships received external funding, most did not use innovation brokers during the proposal writing process and two thirds had access to information they needed. We discuss the implications of these findings and question whether the AKIS concept as currently interpreted by many policy makers can adequately account for the regional differences encountered by co-innovation partnerships across Europe.

Dataset Information

European Lone Actor Terrorists Versus "Common" Homicide Offenders: An Empirical Analysis.

Publications

European Lone Actor Terrorists Versus "Common" Homicide Offenders: An Empirical Analysis.

Similar Datasets

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