Mitigating issues related to the modeling of insurgent recruitment

Erica Briscoe; Ethan Trewhitt; Lora Weiss; Elizabeth Whitaker

doi:10.1007/978-3-642-12079-4_47

Mitigating issues related to the modeling of insurgent recruitment

Erica Briscoe, Ethan Trewhitt, Lora Weiss, Elizabeth Whitaker

Graduate Program in Acoustics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Modeling the specific motivations and influences related to an individual's decision to become involved in insurgent warfare presents its own collection of unique challenges. The difficulty of the problem often necessitates simplifications that, while making the task more manageable, may inadvertently 'smooth away' critical aspects of the problem. Augmenting the challenge is that research into the motivations of terrorism has found there is not a definitive set of variables that serve as reliable indicators of an individual's involvement. This paper addresses techniques aimed toward mitigating issues that manifest in the modeling of insurgent recruitment so that these complications do not lessen the viability of models that are used in the prediction and evaluation of terrorist activity.

Original language	English (US)
Title of host publication	Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages	375-381
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-12079-4_47
State	Published - 2010
Event	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States Duration: Mar 30 2010 → Mar 31 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6007 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
Country/Territory	United States
City	Bethesda, MD
Period	3/30/10 → 3/31/10

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-12079-4_47

Cite this

Briscoe, E., Trewhitt, E., Weiss, L., & Whitaker, E. (2010). Mitigating issues related to the modeling of insurgent recruitment. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings (pp. 375-381). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS). https://doi.org/10.1007/978-3-642-12079-4_47

Briscoe, Erica ; Trewhitt, Ethan ; Weiss, Lora et al. / Mitigating issues related to the modeling of insurgent recruitment. Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. pp. 375-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Modeling the specific motivations and influences related to an individual's decision to become involved in insurgent warfare presents its own collection of unique challenges. The difficulty of the problem often necessitates simplifications that, while making the task more manageable, may inadvertently 'smooth away' critical aspects of the problem. Augmenting the challenge is that research into the motivations of terrorism has found there is not a definitive set of variables that serve as reliable indicators of an individual's involvement. This paper addresses techniques aimed toward mitigating issues that manifest in the modeling of insurgent recruitment so that these complications do not lessen the viability of models that are used in the prediction and evaluation of terrorist activity.",

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Briscoe, E, Trewhitt, E, Weiss, L & Whitaker, E 2010, Mitigating issues related to the modeling of insurgent recruitment. in Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6007 LNCS, pp. 375-381, 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, United States, 3/30/10. https://doi.org/10.1007/978-3-642-12079-4_47

Mitigating issues related to the modeling of insurgent recruitment. / Briscoe, Erica; Trewhitt, Ethan; Weiss, Lora et al.
Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 375-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Modeling the specific motivations and influences related to an individual's decision to become involved in insurgent warfare presents its own collection of unique challenges. The difficulty of the problem often necessitates simplifications that, while making the task more manageable, may inadvertently 'smooth away' critical aspects of the problem. Augmenting the challenge is that research into the motivations of terrorism has found there is not a definitive set of variables that serve as reliable indicators of an individual's involvement. This paper addresses techniques aimed toward mitigating issues that manifest in the modeling of insurgent recruitment so that these complications do not lessen the viability of models that are used in the prediction and evaluation of terrorist activity.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Briscoe E, Trewhitt E, Weiss L, Whitaker E. Mitigating issues related to the modeling of insurgent recruitment. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 375-381. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-12079-4_47

Mitigating issues related to the modeling of insurgent recruitment

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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Cite this