Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Conflict Forecasting× | UCDP Conflict Data Analysis× | |
|---|---|---|
| Область | International Relations | International Relations |
| Семейство≠ | Machine learning | Process / pipeline |
| Год появления≠ | 2019 | 2013 |
| Автор метода≠ | Conflict-forecasting community (e.g., Håvard Hegre and the ViEWS team) | Uppsala Conflict Data Program (Ralph Sundberg & Erik Melander for UCDP-GED) |
| Тип≠ | Operational predictive system for armed conflict | Coding and analysis of organized-violence events and conflicts |
| Основополагающий источник≠ | Hegre, H., Allansson, M., Basedau, M., Colaresi, M., Croicu, M., Fjelde, H., et al. (2019). ViEWS: A political violence early-warning system. Journal of Peace Research, 56(2), 155–174. DOI ↗ | Sundberg, R., & Melander, E. (2013). Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research, 50(4), 523–532. DOI ↗ |
| Другие названия | Political Violence Early Warning, Armed Conflict Forecasting, Conflict Early-Warning Systems, ViEWS-Style Forecasting | UCDP Analysis, UCDP Georeferenced Event Dataset Analysis, Uppsala Conflict Data Analysis, Organized Violence Event Analysis |
| Связанные | 3 | 3 |
| Сводка≠ | Conflict forecasting is the enterprise of producing calibrated, regularly updated probabilistic predictions of where and when armed conflict will occur, to support early warning and prevention. Exemplified by operational systems such as ViEWS (Hegre et al. 2019), it combines historical conflict data and predictors at fine spatial and temporal resolution, fits and ensembles multiple models, and forecasts violence months ahead — then rigorously evaluates those forecasts against what actually happens. It differs from explanatory conflict analysis by being transparent, prospective, and judged on out-of-sample accuracy rather than on coefficients. | 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. |
| ScholarGateНабор данных ↗ |
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