A computational model of public support for insurgency and terrorism : a prototype for more-general social-science modeling
- Title
- A computational model of public support for insurgency and terrorism : a prototype for more-general social-science modeling / Paul K. Davis, Angela O'Mahony.
- Published by
- Santa Monica, CA : RAND, 2013.
- Format
- Book/text
- Author
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| Status | Access | Call number | Item location |
|---|---|---|---|
| Status Available - Can be used on site. Please visit New York Public Library - Schwarzman Building to submit a request in person. | AccessUse in library | Call numberJFF 17-322 | Item locationSchwarzman Building - Main Reading Room 315 |
Details
- Additional authors
- Description
- xxi, 88 pages : illustrations (some color); 28 cm
- Summary
- This report builds on earlier RAND research (e.g., Understanding and Influencing Public Support for Insurgency and Terrorism, 2012) that reviewed and integrated social science relevant to terrorism and insurgency. That research used qualitative conceptual causal models called ́⁰factor treeś⁰+С to identify the factors that contribute to various aspects of terrorism or insurgency at a slice in time and how the factors relate to each other qualitatively. This report goes beyond the conceptual and qualitative by specifying a prototype uncertainty-sensitive computational model for one of the factor trees from the earlier research, one that describes public support for terrorism and insurgency. The authors first detail their approach to designing such a model, emphasizing the challenges they encountered in assigning mathematical meaning to the factor treé⁰9Сs numerous factors and subfactors, identifying suitable ́⁰building blocḱ⁰+С combining algorithms, and the uncertainty in their values and the relationships among them. They then describe how they implemented the model in a high-level visual-programming environment, show how the model can be used for exploratory analysis under uncertainty, and discuss their initial experience with it. Methodologically, the work illustrates a new approach to causal, uncertainty-and-context-sensitive, social-science modeling. It also illustrates how such models can be reviewable, reusable, and potentially composable.
- Series statement
- RAND Corporation technical report series ; TR1220
- Uniform title
- Technical report (Rand Corporation) ; TR1220.
- Subject
- Contents
- Introduction -- Specifying the Model -- Implementation in a High-Level Language -- Looking Ahead to Exploratory Analysis Under Uncertainty -- Using the Model for Knowledge Elicitation, Discussion, and Diagnosis -- Appendix A: Primer on Factor Trees (a reprint) -- Appendix B: Verification and Validation -- Appendix C: Eliciting Factor Values -- Appendix D: Mathematics for "And" and "Or" Relationships.
- Call number
- JFF 17-322
- Language
- English
- Bibliography (note)
- Includes bibliographical references (pages 85-88).
- Type of content
- text
- Type of medium
- unmediated
- Type of carrier
- volume
- Digital file characteristics
- text file PDF
- Connect to:
- Added author
- O'Mahony, Angela.
- LCCN
- 2013013214
- Report no.
- RAND/TR-1220-OSD
- ISBN
- 9780833079190 (pbk. ; alk. paper)
- 0833079190 (pbk. ; alk. paper)