Printer-friendly version Send by email | | Title | Casting Globally: Towards Better Conflict Assessment and Prediction in the Information Age | | URL | http://citation.allacademic.com//meta/... | | Description | The explosion of the information landscape in recent years is a great opportunity for social scientists and policy makers to better assess and forecast violent conflict. This paper explores the effectiveness and promise of three computer-based content analysis methodologies: the Kansas Event Data System (KEDS), funded by the National Science Foundation and the University of Kansas; GeoMonitor, a product of Virtual Research Associates, Inc.; and the Conflict Assessment System Tool (CAST) as developed by The Fund for Peace, for purposes of early warning, tracking and forecasting conflict, and for measuring the effects of military, economic, or other policy initiatives to stem conflict. | | Authors / Editors | Haken, Nate; Burbank, Joelle; Baker, Pauline | | Date Published | 15 February 2009 | | Download Citation | This citation can be downloaded in the following bibliographic database formats: Tagged; XML; BibTex |
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