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The authors present a dataset of 357 armed conflict episodes (1946–2006) to track post-conflict justice (PCJ) processes. PCJ is defined as any process initiated within five years of a conflict's end to address wrongdoings. The dataset identifies six primary tools: trials, truth commissions, reparations, amnesties, purges, and exiles. Preliminary analysis shows that the choice of justice mechanism is influenced by conflict intensity, incompatibility (territorial vs. government control), and the type of termination (victory vs. bargained solution). For instance, trials are more frequent after decisive victories, while amnesties are more common after bargained solutions and in high-intensity civil wars.

The Strategies of Resistance Data Project (SRDP) provides a global dataset of 1,124 organizations involved in self-determination disputes between 1960 and 2005. Unlike previous datasets that focus on mass campaigns or violent actors, SRDP uses the organization as the unit of analysis to track tactical shifts. Findings indicate that nonviolent tactics are more common than violence in these movements, and organizations are more likely to switch from violence to nonviolence than vice versa.

The authors present the During-Conflict Justice (DCJ) dataset, which catalogues 2,205 justice processes across 204 internal armed conflicts in 108 countries between 1946 and 2011. The research identifies that DCJ is a common tool, appearing in over 60% of conflicts since WWII, with governments being the primary adopters (70.4%). The study finds that democratic governments are more likely to use DCJ, particularly trials, truth commissions, and reparations, compared to autocracies. Rebel groups tend to use DCJ more frequently when fighting democracies and as their own relative military strength increases. Analysis suggests that government-initiated DCJ is correlated with a reduction in battle deaths in the following year and a higher likelihood of the conflict ending in a negotiated settlement rather than a military victory.

The authors present Urban Social Disorder 3.0, a global event dataset covering 186 cities from 1960-2014, containing 13,324 events. The study finds that global urban social disorder increased after the early 2000s, driven largely by Asia, the Middle East, and Africa. Contrary to some previous research, the authors find a positive relationship between city population size and the frequency of lethal disorder events, while urban growth rates show no such association. The analysis also suggests that autocratic regimes may be more effective at suppressing lethal urban disorder than democratic ones.