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The Uppsala Conflict Data Program (UCDP) is the world’s main provider of data on organized violence and the oldest ongoing data collection project for civil war, with a history of almost 40 years. Its definition of armed conflict has become the global standard of how conflicts are systematically defined and studied. The basic unit of analysis for the UCDP (Uppsala Conflict Data Program) GED dataset is the “event”, an individual incident (phenomenon) of lethal violence occurring at a given time and place. The Uppsala Conflict Data Program (UCDP) has recorded ongoing violent conflicts since the 1970s. The data provided is one of the most accurate and well-used data-sources on global armed conflicts and its definition of armed conflict is becoming a standard in how conflicts are systematically defined and studied.

The UCDP Candidate Events Dataset (UCDP Candidate) is based on UCDP Georeferenced Event Dataset (UCDP GED), but published at a monthly release cycle. It makes available monthly releases of candidate events data with not more than a month’s lag for all of Africa and Middle East. The Uppsala Conflict Data Program (UCDP) has recorded ongoing violent conflicts since the 1970s. The data provided is one of the most accurate and well-used data-sources on global armed conflicts and its definition of armed conflict is becoming a standard in how conflicts are systematically defined and studied. DANTE Dataset Page for Uppsala Conflict Data Program Georeferenced Event Dataset (UCDP-GED). The UCDP Georeferenced Event Dataset (UCDP GED), which is labeled in the API as: gedevents. The latest version of UCDP GED: 20.1.

A new geography of civil war: a machine learning approach to measuring the zones of armed conflicts - Kyosuke Kikuta 2021-1-23 · UCDP-GED records the category of violence, the actors involved, the location and associated coordinates, and the timing of each event, as well as other characteristics. UCDP has been the source of the most widely used data in academic research on violence committed by organized armed actors. In particular, UCDP-GED provides a means for analyses Background: Armed conflicts can have severe adverse effects on population health, both directly and indirectly, through the destruction of health care systems.

In data we trust? : A comparison of UCDP GED and ACLED

The bases for this dataset are publicly reported news (including local radio stations such as Radio Okapi for the DRC), reports from non-governmental organizations, case studies, and historical archives. 2018-8-1 · THE BODOLAND AUTONOMOUS COUNCIL ACT, 1993 An Act to provide for the establishment of an Administrative Authority in the name and style of “BODOLAND AUTONOMOUS COUNCIL” and for certain matters incidental thereto and The UCDP GED is a useful resource for conflict analyses below the state and country-year levels, and can provide us with new insights into the geographical determinants and temporal sequencing of 2020-9-30 · UCDP GED is fully consistent with UCDP’s traditional annual output, and has complete global coverage. At the time of writing, the final data cover the 1989–2018 period. These data are updated along with the annual UCDP update.

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rules. The rules are derived from the UCDP Geo-referenced Event Dataset (GED) Codebook version 1.0 (Sundberg et al., 2010) which covers the geo-referencing of violent events. The system has been adapted and complemented by additional rules to enable the coding of aid projects rather than battles. The UCDP GED is used as a starting UCDP One-sided Violence Dataset v.19.1, 1989-2018. UCDP Onset Dataset version 19.1, 1946-2018 UCDP Peace Agreement Dataset version 19.1, 1975-2018 UCDP Georeferenced Event Dataset (GED) Syria 20160101-20191130 (652.1601.1911) The Ethnic One -Sided Violence (EOSV) Dataset, 1989 2013 Press releases UCDP sent out a press release on 3 June 2019 OCHA coordinates the global emergency response to save lives and protect people in humanitarian crises. We advocate for effective and principled humanitarian action by all, for all.

UCDP Georeferenced Event Dataset (GED) Global version 20.1.
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The UCDP Georeferenced Event Dataset (UCDP GED;) 2020-12-1 · UCDP-GED is developed by the Department of Peace and Conflict Research of Uppsala University.

Conflict Prevention 2.0: Preventing transjihadization of UCDP[2]. Uppsala Conflict Data Program, Georeferenced Event Dataset (GED) Global version 17.1 (2016), See Sundberg et al (2013). Department of Peace 2018-dec-22 - UCDP/PRIO (Uppsala Conflict Data Program/Peace Research Institute Oslo). 2015.
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In data we trust? : A comparison of UCDP GED and ACLED

A comparison of UCDP GED and ACLED conflict events datasets Eck, Kristine Swedish National Defence College, Department of Security, Strategy and Leadership (ISSL), Strategiavdelningen med folkrättscentrum. A comparison of UCDP GED and ACLED conflict events datasets Eck, Kristine Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Peace and Conflict Research. Conﬂict Data Program (UCDP) Georeferenced Event Data (UCDP-GED) take this approach.3 The use of geographical and temporal data in the ana-lysis of violent conﬂict has advantages over qualitative assessments and 1 The research reported here is based on a pilot project to build a data set on the incidence of vio- 3 Feb 2021 The UCDP GED Conflict Polygon Dataset was produced by the Uppsala Conflict Data Program (UCDP) as part of the Geo-referenced Event UCDP/PRIO Armed Conflict Dataset.

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Datamaterialet (UCDP GED dataset) är resultatet av cirka 2.5 års arbete som har involverat ett team av cirka 15 forskare och assistenter. Det innehåller 24 000 enskilda händelser och inkluderar alla typer av konflikter (statliga, icke-statliga samt våld mot civila) över hela Afrika under perioden 1989 till 2010. rules. The rules are derived from the UCDP Geo-referenced Event Dataset (GED) Codebook version 1.0 (Sundberg et al., 2010) which covers the geo-referencing of violent events.

UCDP-GED conflict events. 2011-2015 (# events) 12 Dec 2014 I use conflict events from the UCDP GED dataset and geographic covariates of violence to fit Point Process Models to predict the spatial Figure 3.7: Violent deaths in Indonesia: UCDP-GED vs.