Predicting suicide attacks: integrating spatial, temporal, and social features of terrorist attack targets
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Santa Monica, CA
RAND
[2013]
|
| Schriftenreihe: | Rand Corporation monograph series
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Description based on print version record |
| Beschreibung: | 1 online resource (xxv, 85 pages) illustrations (some color), maps (some color) |
| ISBN: | 0833078003 0833078011 083307802X 0833078038 9780833078001 9780833078018 9780833078025 9780833078032 |
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| 245 | 1 | 0 | |a Predicting suicide attacks |b integrating spatial, temporal, and social features of terrorist attack targets |c Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan, Thomas Sullivan, Lisa Miyashiro |
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| 505 | 8 | |a Introduction and overview -- Quantitative data and methods -- Qualitative analysis -- Conclusions and recommendations | |
| 505 | 8 | |a "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 | |
| 650 | 7 | |a POLITICAL SCIENCE / Political Freedom & Security / Terrorism |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE / Security (National & International) |2 bisacsh | |
| 650 | 4 | |a Terrorismus | |
| 650 | 4 | |a Suicide bombings |z Israel | |
| 650 | 4 | |a Terrorism |z Israel | |
| 650 | 4 | |a Terrorists |x Suicidal behavior |z Israel | |
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Datensatz im Suchindex
| _version_ | 1804175396232495104 |
|---|---|
| any_adam_object | |
| author | Perry, Walt L. |
| author_facet | Perry, Walt L. |
| author_role | aut |
| author_sort | Perry, Walt L. |
| author_variant | w l p wl wlp |
| building | Verbundindex |
| bvnumber | BV043036029 |
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| contents | Introduction and overview -- Quantitative data and methods -- Qualitative analysis -- Conclusions and recommendations "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 |
| ctrlnum | (OCoLC)828028978 (DE-599)BVBBV043036029 |
| dewey-full | 363.325/12 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.325/12 |
| dewey-search | 363.325/12 |
| dewey-sort | 3363.325 212 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie |
| format | Electronic eBook |
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| id | DE-604.BV043036029 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:15:37Z |
| institution | BVB |
| isbn | 0833078003 0833078011 083307802X 0833078038 9780833078001 9780833078018 9780833078025 9780833078032 |
| language | English |
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| physical | 1 online resource (xxv, 85 pages) illustrations (some color), maps (some color) |
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| spelling | Perry, Walt L. Verfasser aut Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan, Thomas Sullivan, Lisa Miyashiro Santa Monica, CA RAND [2013] 1 online resource (xxv, 85 pages) illustrations (some color), maps (some color) txt rdacontent c rdamedia cr rdacarrier Rand Corporation monograph series Description based on print version record Introduction and overview -- Quantitative data and methods -- Qualitative analysis -- Conclusions and recommendations "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 POLITICAL SCIENCE / Political Freedom & Security / Terrorism bisacsh POLITICAL SCIENCE / Security (National & International) bisacsh Terrorismus Suicide bombings Israel Terrorism Israel Terrorists Suicidal behavior Israel Naval Research Laboratory (U.S.) Sonstige oth RAND Homeland Security and Defense Center Sonstige oth Erscheint auch als Druck-Ausgabe Perry, Walt L . Predicting suicide attacks http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=608719 Aggregator Volltext |
| spellingShingle | Perry, Walt L. Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets Introduction and overview -- Quantitative data and methods -- Qualitative analysis -- Conclusions and recommendations "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 POLITICAL SCIENCE / Political Freedom & Security / Terrorism bisacsh POLITICAL SCIENCE / Security (National & International) bisacsh Terrorismus Suicide bombings Israel Terrorism Israel Terrorists Suicidal behavior Israel |
| title | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets |
| title_auth | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets |
| title_exact_search | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets |
| title_full | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan, Thomas Sullivan, Lisa Miyashiro |
| title_fullStr | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan, Thomas Sullivan, Lisa Miyashiro |
| title_full_unstemmed | Predicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan, Thomas Sullivan, Lisa Miyashiro |
| title_short | Predicting suicide attacks |
| title_sort | predicting suicide attacks integrating spatial temporal and social features of terrorist attack targets |
| title_sub | integrating spatial, temporal, and social features of terrorist attack targets |
| topic | POLITICAL SCIENCE / Political Freedom & Security / Terrorism bisacsh POLITICAL SCIENCE / Security (National & International) bisacsh Terrorismus Suicide bombings Israel Terrorism Israel Terrorists Suicidal behavior Israel |
| topic_facet | POLITICAL SCIENCE / Political Freedom & Security / Terrorism POLITICAL SCIENCE / Security (National & International) Terrorismus Suicide bombings Israel Terrorism Israel Terrorists Suicidal behavior Israel |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=608719 |
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