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Militarized Interstate Dispute Analysis×Event Data Analysis of Conflict×
FagfeltInternational RelationsInternational Relations
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19961994
OpphavspersonDaniel Jones, Stuart Bremer & J. David Singer (Correlates of War project)Philip Schrodt (KEDS/TABARI); ICEWS team (Boschee et al.)
TypeCoding and statistical analysis of interstate militarized confrontationsAutomated extraction of structured political events from news text
Opprinnelig kildeJones, D. M., Bremer, S. A., & Singer, J. D. (1996). Militarized interstate disputes, 1816–1992: Rationale, coding rules, and empirical patterns. Conflict Management and Peace Science, 15(2), 163–213. DOI ↗Schrodt, P. A., Davis, S. G., & Weddle, J. L. (1994). Political science: KEDS — A program for the machine coding of event data. Social Science Computer Review, 12(4), 561–588. See also Gerner, Schrodt et al. (1994), Machine coding of event data using regional and international sources, International Studies Quarterly, 38(1), 91–119. DOI ↗
AliasMID Analysis, Militarized Dispute Coding, Correlates of War Dispute Analysis, Dyadic Conflict Onset AnalysisPolitical Event Data, Machine-Coded Conflict Event Data, Conflict Event Extraction, Who-Did-What-to-Whom Event Coding
Relaterte34
SammendragMilitarized interstate dispute (MID) analysis is the coding and quantitative study of confrontations in which one state threatens, displays, or uses military force against another. Built on the Correlates of War project's MID dataset and the coding rules codified by Jones, Bremer, and Singer (1996), it provides the standard observational measure of interstate conflict short of and including war, structured as dyad-years so that the onset, escalation, and outcomes of disputes can be modeled statistically across two centuries of the international system.Event data analysis is the automated extraction of structured records of political interactions — who did what to whom, when, and where — from large volumes of news text, for the quantitative study of conflict and cooperation. Pioneered for machine coding by Philip Schrodt with the KEDS and TABARI systems and scaled in projects such as ICEWS and GDELT, it turns unstructured reporting into dated actor-action-target triples coded to an ontology like CAMEO, which can then be aggregated into time series of interstate or intrastate hostility.
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ScholarGateSammenlign metoder: Militarized Interstate Dispute Analysis · Event Data Analysis of Conflict. Hentet 2026-06-24 fra https://scholargate.app/no/compare