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| UCDP Conflict Data Analysis× | Event Data Analysis of Conflict× | |
|---|---|---|
| Dziedzina | International Relations | International Relations |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2013 | 1994 |
| Twórca≠ | Uppsala Conflict Data Program (Ralph Sundberg & Erik Melander for UCDP-GED) | Philip Schrodt (KEDS/TABARI); ICEWS team (Boschee et al.) |
| Typ≠ | Coding and analysis of organized-violence events and conflicts | Automated extraction of structured political events from news text |
| Źródło pierwotne≠ | Sundberg, R., & Melander, E. (2013). Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research, 50(4), 523–532. DOI ↗ | Schrodt, P. A., Davis, S. G., & Weddle, J. L. (1994). Political science: KEDS — A program for the machine coding of event data. Social Science Computer Review, 12(4), 561–588. See also Gerner, Schrodt et al. (1994), Machine coding of event data using regional and international sources, International Studies Quarterly, 38(1), 91–119. DOI ↗ |
| Inne nazwy | UCDP Analysis, UCDP Georeferenced Event Dataset Analysis, Uppsala Conflict Data Analysis, Organized Violence Event Analysis | Political Event Data, Machine-Coded Conflict Event Data, Conflict Event Extraction, Who-Did-What-to-Whom Event Coding |
| Pokrewne≠ | 3 | 4 |
| Podsumowanie≠ | 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. | Event data analysis is the automated extraction of structured records of political interactions — who did what to whom, when, and where — from large volumes of news text, for the quantitative study of conflict and cooperation. Pioneered for machine coding by Philip Schrodt with the KEDS and TABARI systems and scaled in projects such as ICEWS and GDELT, it turns unstructured reporting into dated actor-action-target triples coded to an ontology like CAMEO, which can then be aggregated into time series of interstate or intrastate hostility. |
| ScholarGateZbiór danych ↗ |
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