E-viri
Recenzirano
Odprti dostop
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Hegre, Håvard; Allansson, Marie; Basedau, Matthias; Colaresi, Michael; Croicu, Mihai; Fjelde, Hanne; Hoyles, Frederick; Hultman, Lisa; Högbladh, Stina; Jansen, Remco; Mouhleb, Naima; Muhammad, Sayyed Auwn; Nilsson, Desirée; Nygård, Håvard Mokleiv; Olafsdottir, Gudlaug; Petrova, Kristina; Randahl, David; Rød, Espen Geelmuyden; Schneider, Gerald; von Uexkull, Nina; Vestby, Jonas
Journal of peace research, 03/2019, Letnik: 56, Številka: 2Journal Article
This article presents ViEWS – a political violence early-warning system that seeks to be maximally transparent, publicly available, and have uniform coverage, and sketches the methodological innovations required to achieve these objectives. ViEWS produces monthly forecasts at the country and subnational level for 36 months into the future and all three UCDP types of organized violence: state-based conflict, non-state conflict, and one-sided violence in Africa. The article presents the methodology and data behind these forecasts, evaluates their predictive performance, provides selected forecasts for October 2018 through October 2021, and indicates future extensions. ViEWS is built as an ensemble of constituent models designed to optimize its predictions. Each of these represents a theme that the conflict research literature suggests is relevant, or implements a specific statistical/machine-learning approach. Current forecasts indicate a persistence of conflict in regions in Africa with a recent history of political violence but also alert to new conflicts such as in Southern Cameroon and Northern Mozambique. The subsequent evaluation additionally shows that ViEWS is able to accurately capture the long-term behavior of established political violence, as well as diffusion processes such as the spread of violence in Cameroon. The performance demonstrated here indicates that ViEWS can be a useful complement to nonpublic conflict-warning systems, and also serves as a reference against which future improvements can be evaluated.
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Vnos na polico
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Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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