{"title":"军事化州际对抗数据集,1816-2014","authors":"Douglas M. Gibler, Steven V. Miller","doi":"10.1177/00220027221104704","DOIUrl":null,"url":null,"abstract":"We use this article to introduce the Militarized Interstate Confrontation (MIC) dataset, 1816-2014—a new dataset for international conflict with a host of innovative features. The MIC data corrects thousands of errors in existing interstate conflict data and provides fatality ranges for all conflicts, with meaningful fatality estimates and no missing fatality values. Thus, the MIC data fixes missing data problems that have precluded researchers from analyzing escalation and related issues because of the lack of integrated conflict and war data. We also identify and distribute separate datasets for state-versus-citizen actions that are protest-dependent. These are attacks on shipping, fishing boats, and rebels, which were previously included in the data because the sovereign of those private citizens protested. We discuss our systematic search for new conflict cases and the 108 new conflicts we found, and we provide analyses and summaries that demonstrate the usefulness of our MIC data. Finally, we use our new data to create the first ever dataset of truly dyadic, directed dyad-year data, with highest actions and fatalities that vary appropriately within conflicts by both year and dyad. We believe these datasets will be useful for a host of studies but especially those interested in how conflicts evolve over time.","PeriodicalId":51363,"journal":{"name":"Journal of Conflict Resolution","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Militarized Interstate Confrontation Dataset, 1816-2014\",\"authors\":\"Douglas M. Gibler, Steven V. Miller\",\"doi\":\"10.1177/00220027221104704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use this article to introduce the Militarized Interstate Confrontation (MIC) dataset, 1816-2014—a new dataset for international conflict with a host of innovative features. The MIC data corrects thousands of errors in existing interstate conflict data and provides fatality ranges for all conflicts, with meaningful fatality estimates and no missing fatality values. Thus, the MIC data fixes missing data problems that have precluded researchers from analyzing escalation and related issues because of the lack of integrated conflict and war data. We also identify and distribute separate datasets for state-versus-citizen actions that are protest-dependent. These are attacks on shipping, fishing boats, and rebels, which were previously included in the data because the sovereign of those private citizens protested. We discuss our systematic search for new conflict cases and the 108 new conflicts we found, and we provide analyses and summaries that demonstrate the usefulness of our MIC data. Finally, we use our new data to create the first ever dataset of truly dyadic, directed dyad-year data, with highest actions and fatalities that vary appropriately within conflicts by both year and dyad. We believe these datasets will be useful for a host of studies but especially those interested in how conflicts evolve over time.\",\"PeriodicalId\":51363,\"journal\":{\"name\":\"Journal of Conflict Resolution\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Conflict Resolution\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/00220027221104704\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INTERNATIONAL RELATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Conflict Resolution","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/00220027221104704","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTERNATIONAL RELATIONS","Score":null,"Total":0}
The Militarized Interstate Confrontation Dataset, 1816-2014
We use this article to introduce the Militarized Interstate Confrontation (MIC) dataset, 1816-2014—a new dataset for international conflict with a host of innovative features. The MIC data corrects thousands of errors in existing interstate conflict data and provides fatality ranges for all conflicts, with meaningful fatality estimates and no missing fatality values. Thus, the MIC data fixes missing data problems that have precluded researchers from analyzing escalation and related issues because of the lack of integrated conflict and war data. We also identify and distribute separate datasets for state-versus-citizen actions that are protest-dependent. These are attacks on shipping, fishing boats, and rebels, which were previously included in the data because the sovereign of those private citizens protested. We discuss our systematic search for new conflict cases and the 108 new conflicts we found, and we provide analyses and summaries that demonstrate the usefulness of our MIC data. Finally, we use our new data to create the first ever dataset of truly dyadic, directed dyad-year data, with highest actions and fatalities that vary appropriately within conflicts by both year and dyad. We believe these datasets will be useful for a host of studies but especially those interested in how conflicts evolve over time.
期刊介绍:
The Journal of Conflict Resolution is an interdisciplinary journal of social scientific theory and research on human conflict. It focuses especially on international conflict, but its pages are open to a variety of contributions about intergroup conflict, as well as between nations, that may help in understanding problems of war and peace. Reports about innovative applications, as well as basic research, are welcomed, especially when the results are of interest to scholars in several disciplines.