706 results for search: %EB%A7%88%EC%BC%80%ED%8C%85%EC%A0%84%EB%AC%B8%E2%99%82%ED%85%94%EA%B7%B8adgogo%E2%99%82%EB%8B%A8%EA%B5%AC%EB%8F%99%ED%98%B8%EC%8A%A4%ED%8A%B8%EB%B0%94%E3%83%AD%EB%A7%88%EC%BC%80%ED%8C%85%E2%94%9E%EC%A0%84%EB%AC%B8%18%EB%8B%A8%EA%B5%AC%EB%8F%99%E5%B0%A3%ED%98%B8%EC%8A%A4%ED%8A%B8%EB%B0%94%E5%B0%A3interjectional/feed/rss2/press-release-chad-2010jan
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 ...
USA
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HRDAG’s analysis and expertise continues to deepen the national conversation about police violence and criminal legal reform in the United States. In 2015 we began by considering undocumented victims of police violence, relying on the same methodological approach we’ve tested internationally for ...
Trips to and from Guatemala
HRDAG has been working with the Historic Archive of the National Police in Guatemala (hereafter, the Archive) for the past seven years. The Archive contains a treasure trove of data recorded and kept by the Guatemalan National Police over the past century. When the Archive was first discovered in 2005, researchers there immediately recognized both the value and fragility of the tens of millions of documents. As a result, they reached out to HRDAG, and we reached out to volunteers at Westat to devise a plan to estimate the contents of the entire Archive as quickly as possible in case the documents were destroyed or access to them was limited. ...
Data coding and inter-rater reliability (IRR)
Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...
Evaluating gunshot detection technology
Bailey’s analysis stemmed from data we had access to as part of our ongoing collaboration with the Invisible Institute.
Newsletters
2025
24 June, 2025 - Breaking through the noise with evidence
20 March, 2025 - Focus on HRDAG’s US-based projects
2024
10 December, 2024 - Witnessing Syria on Human Rights Day
29 November, 2024 - Giving thanks
20 November, 2024 - We are resolute
22 October, 2024 - Gaining insights into wrongful convictions
9 October, 2024 - A new tool for tracking police misconduct
18 September, 2024 - Evaluating gunshot detection technology
18 June, 2024 - A Pulitzer for an HRDAG partner
1 March, 2024 - Citations with impact
2023
21 December, 2023 - Evaluating tools to weed out discrimination
15 December, 2023 - ...
Claudia Carolina López Taks
Field Consultant
Carolina Lopéz has worked with the Archivo Histórico de la Policía Nacional (AHPN) in Guatemala for eight years, and is currently a member of the Archive Technical Coordination team. A professional working within the social sciences, she prefers using alternative research on past practices to develop an understanding of the present. Her work consists primarily of monitoring and creating strategies to systematize, track and create process controls. She also has thorough knowledge of management of historical archive documents.
Since 2006, Carolina has worked in quantitative research at the AHPN with HRDAG team members Patrick ...
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 ...
Projects
We work around the world
Here’s more information about How We Choose Projects.
History
HRDAG has been fortunate to have a long and exciting history that has taken us around the world to analyze data related to human rights violations. Along the way, we have met wonderful people, worked with amazing organizations and been a part of an amazing advancement of science through data analysis.
This page highlights key moments in our history.
The John Maddox Prize for Patrick Ball
Congratulations to Patrick on this well deserved award!
Scanning Documents to Uncover Police Violence
Administrative paperwork generated by police departments can hold evidence of police violence, but can present unique challenges for data processing.
Insights Sessions
You are invited to
Illuminating the dark through data science:
Stories from the Human Rights Data Analysis Group
Thursday, 3 June 2021, 12–1pm PDT
A conversation with HRDAG advisory board member Margot Gerritsen, executive director Megan Price, statistician Maria Gargiulo, and field consultant Anita Gohdes.
The Human Rights Data Analysis Group uses data to help the world understand human stories. In this intimate, virtual conversation, executive director Megan Price and other inspiring HRDAG data scientists will share stories about how their data analysis has powered truth commissions and grassroots justice organizations, and held human rights ...
Trove to IPFS
IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.
Big Data and Death at UW-Madison
On November 7, 2014, the Department of Political Science, University of Wisconsin–Madison, and the University of Wisconsin Law School, hosted a mini-conference with speakers Jennifer Alix-Garcia, Patrick Ball, Chad Hazlett, Volker Radeloff, and Philip Schrodt to speak about "Big Data and Death." The conference was organized by John Ahlquist and Jon Pevehouse.
Big Data and Death
Department of Political Science
University of Wisconsin–Madison
November 7, 2014
Madison, Wisconsin
Welcoming Our 2021-2022 Human Rights and Data Science Intern
Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.
HRDAG Welcomes New Data Science Fellow
Alanna Flores joins HRDAG for the summer as a Data Science Fellow.
HRDAG’s Year in Review: 2022
This past year at HRDAG has been about continuing efforts to uncover the truth.
Why Collecting Data In Conflict Zones Is Invaluable—And Nearly Impossible
HRDAG's work in Kosovo and in the Guatemalan trial of General José Efraín Ríos Montt is discussed in this article. Megan Price, HRDAG's director of research, is quoted. “There is a wide variety of things that could be considered data,” she says.
From the story:
Price’s main data analysis tool requires fitting a model to the data that ends up in her lap. That way, she can see whether there are gaps in the data and what more needs to be included. The method, called multiple systems estimation analysis, lets Price look at patterns across lists of data, for example, lists of victims. The resulting model reveals how much data is missing, to a ...