An edition of Predicting Suicide Attacks (2013)

Predicting Suicide Attacks

Integrating Spatial, Temporal, and Social Features of Terrorist Attack Targets

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Last edited by MARC Bot
September 12, 2024 | History
An edition of Predicting Suicide Attacks (2013)

Predicting Suicide Attacks

Integrating Spatial, Temporal, and Social Features of Terrorist Attack Targets

"The Naval Research Laboratory (NRL) set out to develop ways to predict what determines the targets of suicide attacks. While the ultimate goal is to create a list of areas at risk for the U.S. environment, the first phase of development employed a data set from Israel. Initially, NRL focused on spatial attributes, creating its own risk index, but realized that this focus on the where ignored the broader social context, the why. The lab asked RAND to test, as a proof of principle, the ability of sociocultural, political, economic, and demographic factors to enhance the predictive ability of NRL's methodology. Again using Israel as a sample, RAND created a database that coded for these factors, then conducted both quantitative and qualitative analyses with an eye to determining what puts a given area at greater risk. The quantitative analysis established that these factors are related to the odds of attack within specific neighborhoods and that the relationships held even when controlling for geospatial factors, so they seem to confer risk for reasons beyond their association with geospatial features of neighborhoods. The specifics of the research are limited to the preferences of Palestinian suicide bombers in Israel; however, the methods used to assess target preferences in Israel could be transferred to the United States or other countries. Any results, if proven to be robust, could be used to develop recommendations for heightened public awareness in certain areas."--Page [4] of cover.

Publish Date
Publisher
RAND Corporation, RAND
Pages
112

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Book Details


Edition Notes

Source title: Predicting Suicide Attacks: Integrating Spatial, Temporal, and Social Features of Terrorist Attack Targets

Classifications

Library of Congress
HV6433.I75 P477 2013, HV6433.I75, HV6433.I75P477 2013

The Physical Object

Format
paperback
Number of pages
112

Edition Identifiers

Open Library
OL30717655M
Internet Archive
predictingsuicid0000perr
ISBN 10
0833078003
ISBN 13
9780833078001
LCCN
2013005100, 2013011927
OCLC/WorldCat
829119011

Work Identifiers

Work ID
OL22735804W

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September 12, 2024 Edited by MARC Bot import existing book
September 18, 2021 Edited by ImportBot import existing book
November 13, 2020 Edited by MARC Bot import existing book
October 28, 2020 Created by ImportBot import new book