A model docking system for understanding radicalization

Lora G. Weiss; Erica Briscoe; Walter Wright; Sim Harbert; Keith Kline; John Horgan; Lily Cushenbery; Casey Hilland

doi:10.1109/ISI.2013.6578829

A model docking system for understanding radicalization

Lora G. Weiss
, Erica Briscoe
, Walter Wright
, Sim Harbert
, Keith Kline
, John Horgan
, Lily Cushenbery
, Casey Hilland

Graduate Program in Acoustics

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

Abstract

Modeling behavior related to radicalization and terrorism is extremely complex. Consequently, the development of computational approaches to support an understanding of behavioral underpinnings that lead up to radicalization is a significant undertaking and necessitates either a decomposition of behavioral activity into smaller, more manageable behaviors or generalizing larger, group behavior so that only gross trends may be observed. While these approaches may suffice for particular applications, additional consideration should be given to developing more comprehensive or whole-system modeling approaches so as to inform decision-makers in making complex judgments. Specifically for those seeking to understand and stop terrorism, a number of social, cultural, and behavioral perspectives are being developed by experts worldwide. Our research seeks to develop computational methods to analyze and experiment with differing views, opinions, and perspectives of potential influences on adversarial behavior by providing the capability to 'dock' or integrate models. We demonstrate how this ability allows for a multi-scale comprehension of the factors that contribute to radicalization.

Original language	English (US)
Title of host publication	IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publication	Big Data, Emergent Threats, and Decision-Making in Security Informatics
Pages	251-253
Number of pages	3
DOIs	https://doi.org/10.1109/ISI.2013.6578829
State	Published - Sep 9 2013
Event	11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 - Seattle, WA, United States Duration: Jun 4 2013 → Jun 7 2013

Publication series

Name	IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics

Other

Other	11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013
Country/Territory	United States
City	Seattle, WA
Period	6/4/13 → 6/7/13

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

Artificial Intelligence
Information Systems

Access to Document

10.1109/ISI.2013.6578829

Cite this

Weiss, L. G., Briscoe, E., Wright, W., Harbert, S., Kline, K., Horgan, J., Cushenbery, L., & Hilland, C. (2013). A model docking system for understanding radicalization. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics (pp. 251-253). Article 6578829 (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). https://doi.org/10.1109/ISI.2013.6578829

Weiss, Lora G. ; Briscoe, Erica ; Wright, Walter et al. / A model docking system for understanding radicalization. IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. pp. 251-253 (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics).

@inproceedings{562bfafb69554c6ab801d41f4d91211b,

title = "A model docking system for understanding radicalization",

abstract = "Modeling behavior related to radicalization and terrorism is extremely complex. Consequently, the development of computational approaches to support an understanding of behavioral underpinnings that lead up to radicalization is a significant undertaking and necessitates either a decomposition of behavioral activity into smaller, more manageable behaviors or generalizing larger, group behavior so that only gross trends may be observed. While these approaches may suffice for particular applications, additional consideration should be given to developing more comprehensive or whole-system modeling approaches so as to inform decision-makers in making complex judgments. Specifically for those seeking to understand and stop terrorism, a number of social, cultural, and behavioral perspectives are being developed by experts worldwide. Our research seeks to develop computational methods to analyze and experiment with differing views, opinions, and perspectives of potential influences on adversarial behavior by providing the capability to 'dock' or integrate models. We demonstrate how this ability allows for a multi-scale comprehension of the factors that contribute to radicalization.",

author = "Weiss, \{Lora G.\} and Erica Briscoe and Walter Wright and Sim Harbert and Keith Kline and John Horgan and Lily Cushenbery and Casey Hilland",

year = "2013",

month = sep,

day = "9",

doi = "10.1109/ISI.2013.6578829",

language = "English (US)",

isbn = "9781467362115",

series = "IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics",

pages = "251--253",

booktitle = "IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics",

note = "11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 ; Conference date: 04-06-2013 Through 07-06-2013",

}

Weiss, LG, Briscoe, E, Wright, W, Harbert, S, Kline, K, Horgan, J, Cushenbery, L & Hilland, C 2013, A model docking system for understanding radicalization. in IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics., 6578829, IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics, pp. 251-253, 11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013, Seattle, WA, United States, 6/4/13. https://doi.org/10.1109/ISI.2013.6578829

A model docking system for understanding radicalization. / Weiss, Lora G.; Briscoe, Erica; Wright, Walter et al.
IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 251-253 6578829 (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics).

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

TY - GEN

T1 - A model docking system for understanding radicalization

AU - Weiss, Lora G.

AU - Briscoe, Erica

AU - Wright, Walter

AU - Harbert, Sim

AU - Kline, Keith

AU - Horgan, John

AU - Cushenbery, Lily

AU - Hilland, Casey

PY - 2013/9/9

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N2 - Modeling behavior related to radicalization and terrorism is extremely complex. Consequently, the development of computational approaches to support an understanding of behavioral underpinnings that lead up to radicalization is a significant undertaking and necessitates either a decomposition of behavioral activity into smaller, more manageable behaviors or generalizing larger, group behavior so that only gross trends may be observed. While these approaches may suffice for particular applications, additional consideration should be given to developing more comprehensive or whole-system modeling approaches so as to inform decision-makers in making complex judgments. Specifically for those seeking to understand and stop terrorism, a number of social, cultural, and behavioral perspectives are being developed by experts worldwide. Our research seeks to develop computational methods to analyze and experiment with differing views, opinions, and perspectives of potential influences on adversarial behavior by providing the capability to 'dock' or integrate models. We demonstrate how this ability allows for a multi-scale comprehension of the factors that contribute to radicalization.

AB - Modeling behavior related to radicalization and terrorism is extremely complex. Consequently, the development of computational approaches to support an understanding of behavioral underpinnings that lead up to radicalization is a significant undertaking and necessitates either a decomposition of behavioral activity into smaller, more manageable behaviors or generalizing larger, group behavior so that only gross trends may be observed. While these approaches may suffice for particular applications, additional consideration should be given to developing more comprehensive or whole-system modeling approaches so as to inform decision-makers in making complex judgments. Specifically for those seeking to understand and stop terrorism, a number of social, cultural, and behavioral perspectives are being developed by experts worldwide. Our research seeks to develop computational methods to analyze and experiment with differing views, opinions, and perspectives of potential influences on adversarial behavior by providing the capability to 'dock' or integrate models. We demonstrate how this ability allows for a multi-scale comprehension of the factors that contribute to radicalization.

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T3 - IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics

SP - 251

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BT - IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics

T2 - 11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013

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ER -

Weiss LG, Briscoe E, Wright W, Harbert S, Kline K, Horgan J et al. A model docking system for understanding radicalization. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 251-253. 6578829. (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). doi: 10.1109/ISI.2013.6578829

A model docking system for understanding radicalization

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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