The Terrorism in Armed Conflict project integrates the Uppsala Conflict Data Project sample of rebel organizations with START’s Global Terrorism Database, covering 409 organizations for 1970–2013. For many Global Terrorism Database incidents, perpetrator information is missing, or ambiguous. Because the accuracy of perpetrator information likely varies systematically, simply dropping these incidents from analyses may bias results. Terrorism in Armed Conflict provides possible attribution to specific rebel groups with coding for uncertainty, enabling researchers to (1) address “description bias” in media-based terrorism data, (2) model uncertainty regarding perpetrator attribution and (3) vary the way terrorism is counted. The Terrorism in Armed Conflict dataset further provides a measure of deliberately indiscriminate terrorism that allows for more nuanced testing of arguments about the strategic logic of terrorism.

武装冲突中的恐怖主义项目将反叛组织的乌普萨拉冲突数据项目样本与START的全球恐怖主义数据库进行了整合，该数据库涵盖了1970-2013年的409个组织。对于许多全球恐怖主义数据库事件，肇事者信息丢失或模棱两可。由于施暴者信息的准确性可能会系统地变化，因此简单地将这些事件从分析中删除可能会使结果产生偏差。武装冲突中的恐怖主义提供了对不确定性进行编码的特定叛乱团体的归因，使研究人员能够（1）解决基于媒体的恐怖主义数据中的“描述偏见”，（2）对有关犯罪者归因的不确定性建模，以及（3）改变恐怖主义的方式被计算在内。武装冲突中的恐怖主义数据集进一步提供了衡量故意不分青红皂白的恐怖主义，可以对有关恐怖主义的战略逻辑的论点进行更细致的检验。