The field of conflict early warning seeks to forecast the outbreak of armed conflict, or, at minimum, to detect the early escalation of violence, with the objective of preventing the outbreak or the further escalation of violence in order to save lives.[1]
Initial conceptions of conflict early warning materialized in the 1970s and 1980s but the field really emerged on the international policy agenda after the end of the Cold War.[2] Both qualitative and quantitative approaches have been developed for conflict forecasting and conflict monitoring.[3] Qualitative methodologies typically draw on local area experts with extensive knowledge on one country or region. This is the approach taken by the International Crisis Group,[4] for example. In contrast, quantitative methodologies quantify conflict trends and use mathematical techniques to forecast future trends or "events of interest" (EOIs) such as the onset of conflicts.[5] For example, the Integrated Conflict Early Warning System (ICEWS) project at the Defense Advanced Research Projects Agency (DARPA) takes this approach.[6] Some approaches to conflict early warning combine both qualitative and quantitative methodologies, such as Swisspeace's formerly operational project called FAST.[7]
^Nyheim, David (18 May 2008). "Can violence, war, and state collapse be prevented? The future of operational conflict early warning and response systems". 10th meeting of the DAC Fragile States Group and Conflict, Peace and Development Co-operation. Paris: The DAC Network on Conflict, Peace and Development Co-Operation & The DAC Fragile States Group Joint Session. pp. 7, 14. CiteSeerX10.1.1.189.303.
^Austin, Alexander (2004). "Early warning and the field: a cargo cult science?"(PDF). In Austin, Alex; Fischer, Martina; Ropers, Norbert (eds.). Transforming ethnopolitical conflict: the Berghof handbook. Berghof Forschungszentrum für Konstruktive Konfliktbearbeitung; Berghof Research Center for Constructive Conflict Management. Wiesbaden: VS Verlag für Sozialwissenschaften. pp. 129–150. doi:10.1007/978-3-663-05642-3_7. ISBN3810039403. OCLC57283507.