Maria Gargiulo |
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Statistician
Human Rights Data Analyst Group |
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Tech Talk: Estimating Undocumented Human Rights Violations in Conflict Settings
Abstract: Collecting data on human rights violations in conflict settings is difficult and dangerous, and the data that results is often incomplete on multiple levels. Some victims’ stories are never recorded, and those whose stories are documented may still be missing critical information about the victim, the perpetrator, or other contextual details about the violation. Furthermore, the data that is documented may not be statistically representative of the victim population as a whole. Drawing population-level inferences from this data without correcting for the missingness risks incorrectly answering questions about patterns of violence. This talk will demonstrate how multiple systems estimation and multiple imputation can be used together to address both levels of missingness in order to draw population level inferences that are statistically valid and include a measure of uncertainty.
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Biography
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Maria is a statistician at the Human Rights Data Analysis Group and a graduate student in demography at Oxford. She uses statistical methods to bring clarity to human rights violations, especially in situations where data is incomplete, and trains other analysts in statistical methods and science communication. Her research focuses on missing data, record linkage, population size estimation. Maria serves on the American Statistical Association’s Committee on Scientific Freedom and Human Rights. She earned her bachelor’s degree in statistics and Spanish from Yale University.
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