方法对比

	ACLED Event Analysis	UCDP Conflict Data Analysis
领域	International Relations	International Relations
方法族	Process / pipeline	Process / pipeline
起源年份	2010	2013
提出者	Clionadh Raleigh, Andrew Linke, Håvard Hegre & Joakim Karlsen	Uppsala Conflict Data Program (Ralph Sundberg & Erik Melander for UCDP-GED)
类型	Disaggregated coding and analysis of political-violence events	Coding and analysis of organized-violence events and conflicts
开创性文献	Raleigh, C., Linke, A., Hegre, H., & Karlsen, J. (2010). Introducing ACLED: An armed conflict location and event dataset. Journal of Peace Research, 47(5), 651–660.	Sundberg, R., & Melander, E. (2013). Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research, 50(4), 523–532.
别名	ACLED Analysis, Armed Conflict Location and Event Data, Political Violence Event Analysis, Disaggregated Conflict Event Analysis	UCDP Analysis, UCDP Georeferenced Event Dataset Analysis, Uppsala Conflict Data Analysis, Organized Violence Event Analysis
相关	3	3
摘要	ACLED event analysis is the disaggregated study of political violence and protest using the Armed Conflict Location and Event Data project, introduced by Raleigh, Linke, Hegre, and Karlsen (2010). ACLED codes individual events — battles, violence against civilians, riots, protests, explosions and remote violence, and strategic developments — with their date, location, actors, and any fatalities, updated on a near-weekly basis. Its fine granularity and timeliness make it a workhorse for mapping, monitoring, and modeling where, when, and by whom political violence occurs.	UCDP conflict data analysis is the coding and quantitative study of organized violence using the datasets of the Uppsala Conflict Data Program. UCDP distinguishes three categories of organized violence — state-based armed conflict, non-state conflict, and one-sided violence against civilians — and codes them from the level of individual fatal events up to annual conflict dyads. The Georeferenced Event Dataset (UCDP-GED), introduced by Sundberg and Melander (2013), pins each event to a place and date, enabling fine-grained spatial and temporal analysis of where and when violence occurs.