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Maria Gargiulo

Statistician
Human Rights Data Analyst Group 
Picture
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.
Biography
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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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Regional Events 2023
    • WiDS Stanford 2023 Online
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2023
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee