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

UN SDGs

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

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

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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title = "Mitigating issues related to the modeling of insurgent recruitment",

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.",

author = "Erica Briscoe and Ethan Trewhitt and Lora Weiss and Elizabeth Whitaker",

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booktitle = "Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings",

note = "3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 ; Conference date: 30-03-2010 Through 31-03-2010",

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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

TY - GEN

T1 - Mitigating issues related to the modeling of insurgent recruitment

AU - Briscoe, Erica

AU - Trewhitt, Ethan

AU - Weiss, Lora

AU - Whitaker, Elizabeth

PY - 2010

Y1 - 2010

N2 - 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.

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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UR - https://www.scopus.com/pages/publications/78650390757#tab=citedBy

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

M3 - Conference contribution

AN - SCOPUS:78650390757

SN - 3642120784

SN - 9783642120787

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

SP - 375

EP - 381

BT - Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings

T2 - 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010

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ER -

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

UN SDGs

All Science Journal Classification (ASJC) codes

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