Combining Found Data and Surveys to Measure Conflict Mortality
Combining Found Data and Surveys to Measure Conflict Mortality
Measuring conflict mortality is challenging. The chapter discusses how found data—data created for some purpose other than mortality estimation—can be combined with surveys and other intentionally gathered data to improve estimates of the magnitude and patterns of conflict mortality. The chapter defines and outlines the strengths and weaknesses of found data and surveys, and gives several examples of each. Three case studies—of research conducted in Timor-Leste, India, and Kosovo—illustrate how these two types of data have been fruitfully combined to improve estimates of civilian casualties. The case studies describe how the use of diverse sources of data and multiple systems estimation methods can help in advancing an accurate understanding of conflict mortality and its consequences. The chapter concludes by drawing general principles about this type of data integration from themes common to all the case studies.
Keywords: mortality estimation, survey methods, conflict mortality, civilian casualties, data integration, Timor-Leste, India, Kosovo
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