I urval från Stockholms universitets publikationsdatabas

• The Militarized Interstate Confrontation Dataset, 1816-2014

  2023. Douglas M. Gibler, Steven V. Miller. Journal of Conflict Resolution

  Artikel

  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. 

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• {peacesciencer}: An R package for quantitative peace science research

  2022. Steven Miller. Conflict Management and Peace Science 39 (6), 755-779

  Artikel

  This article introduces { peacesciencer} , an R package that contains a litany of tools for creating data of widespread interest to the peace science community. The package is cross-platform, assuming only a somewhat recent installation of the R programming language with some of the enhanced functionality of the broadly popular { tidvyerse} packages. Peace science researchers can use this package to greatly reduce the time needed to perfectly recreate common types of data from scratch and to merge in ubiquitous indicators included in almost every analysis (e.g. democracy data, contiguity data). The software is freely available on CRAN and maintains an active website documenting its features at http://svmiller.com/peacesciencer.

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• The Militarized Interstate Events (MIE) dataset, 1816–2014

  2023. Douglas M. Gibler, Steven V. Miller. Conflict Management and Peace Science

  Artikel

  We use this article to introduce the Militarized Interstate Events (MIE) dataset, a new dataset for international conflict with a host of innovative features. The MIE data offers dyadic, event-level information for all militarized interstate confrontations from 1816 to 2014, including major wars as well as all threats, displays, and uses of force between two or more states. The data come with major innovations, including dyadic fatality estimates at the event level and recorded events for general conflicts alongside the battles of the wars of the last two centuries. We discuss how to use these conflict data and provide a replication that demonstrates the dataset's usefulness. 

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