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Mexico

HRDAG and our partners Data Cívica and the Iberoamericana University created a machine-learning model to predict which counties (municipios) in Mexico have the highest probability of unreported hidden graves. The predictions help advocates to bring public attention and government resources to search for the disappeared in the places where they are most likely to be found. Context For more than ten years, Mexican authorities have been discovering hidden graves (fosas clandestinas). The casualties are attributed broadly—and sometimes inaccurately—to the country’s “drug war,” but the motivations and perpetrators behind the mass murders ...

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CIIDH Data – Variables List

Version date: 2000.01.29 Current version: ATV20.1 Patrick Ball & Herbert F. Spirer Below are listed the 19 files that constitute the CIIDH database. We have noted those that include data that might be analytically useful in future versions of ATV. File names and brief definitions are in bold, and variable summaries are in bulleted points. CXTOV2 (Context; links to VLCNV2) Additional detail on geographic location of case Narrative summary CXTOV2ex (Context extension; links to CXTOV2) Fine breakdown on the age category & sex of anonymous victims CXTOV2lg (Context extension; links to CXTOV2) Legal procedures taken on behalf of the ...

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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