Σύγκριση μεθόδων

	Global Terrorism Database Analysis	ACLED Event Analysis
Πεδίο	International Relations	International Relations
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2007	2010
Δημιουργός	Gary LaFree & Laura Dugan (START, University of Maryland)	Clionadh Raleigh, Andrew Linke, Håvard Hegre & Joakim Karlsen
Τύπος	Coding and analysis of terrorist incidents	Disaggregated coding and analysis of political-violence events
Θεμελιώδης πηγή	LaFree, G., & Dugan, L. (2007). Introducing the Global Terrorism Database. Terrorism and Political Violence, 19(2), 181–204.	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.
Εναλλακτικές ονομασίες	GTD Analysis, Terrorism Event Data Analysis, START GTD Analysis, Terrorist Incident Database Analysis	ACLED Analysis, Armed Conflict Location and Event Data, Political Violence Event Analysis, Disaggregated Conflict Event Analysis
Συναφείς	3	3
Σύνοψη	Global Terrorism Database (GTD) analysis is the quantitative study of terrorism using the open-source incident database maintained by the START center at the University of Maryland and introduced by LaFree and Dugan (2007). The GTD codes tens of thousands of terrorist attacks since 1970 against explicit inclusion criteria, recording each incident's date, location, perpetrator, target, tactic, and human and material consequences. Analysts use it to map trends, profile groups and tactics, and model the causes and effects of terrorism.	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.