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Coming soon: HRDAG 2019 Year-End Review

The online version of the 2019 Year-End Review will appear in January 2020.            

HRDAG’s Year End Review: 2019

In 2019, HRDAG aimed to count those who haven't been counted.

HRDAG’s Year in Review: 2020

In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.

Police Accountability in Chicago: from Data Dump to Usable Data

HRDAG is helping the Invisible Institute turn their windfall of raw data about police misconduct into data that can be analyzed.

Beautiful game, ugly truth?

Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702

Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702

HRDAG’s Year in Review: 2022

This past year at HRDAG has been about continuing efforts to uncover the truth.

HRDAG’s Year in Review: 2023

In 2023, HRDAG continued to learn from our partners about resilience and patience.

HRDAG’s Year in Review: 2024

In 2024, HRDAG maximized AI's strengths to support partners.

The Use of Unstructured Data to Study Police Use of Force

CHANCE magazine

Abstract: The challenges and opportunities researchers face when working with unstructured data are hardly new. This article defines unstructured data as data that is not organized according to pre-existing schemas or structures for the sake of statistical analysis. Unstructured data poses a unique challenge for researchers focused on police and policing. The article discusses a definition of unstructured data and two of the primary challenges faced when working with such data, namely information extraction and classification problems. Two case studies are used to illuminate the challenges. Read the article off-site.

Tarak Shah, Cristian Allen, Ayyub Ibrahim, Harlan Kefalas, and Bavo Stevens (2024). “The Use of Unstructured Data to Study Police Use of Force.” 5 December, 2024. CHANCE, 37 (4), 18–23. https://doi.org/10.1080/09332480.2024.2434437

© The American Statistical Association (ASA) and Taylor & Francis Group 2024

How Machine Learning Protects Whistle-Blowers in Staten Island

People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.

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.

Podcast: Dr. Patrick Ball on Using Statistics to Uncover Truth

Dr. Patrick Ball recently visited the Plutopia News Network podcast for a wide-ranging, inspiring conversation about his work for the Human Rights Data Analysis Group. Patrick spoke about how he first discovered human rights work during his time in El Salvador with the Peace Brigades International.  That led to his ongoing work as a statistician and computer programmer working to assess and analyze human rights violations. He also unpacked some common statistical techniques used by researchers at Human Rights Data Analysis Group, such as multiple systems estimation, which uses multiple different datasets to gain insights into the data we don't ...

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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