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Investigating Boston Police Department SWAT Raids from 2012 to 2020
HRDAG collaborated with Data for Justice Project on a tool tool allowing members of the public to visualize and analyze nearly a decade of Boston Police Department SWAT team after-action reports. Tarak Shah of HRDAG is named in the acknowledgments.
Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality
Romesh Silva and Jeff Klingner. “Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality.” Poster presented at the Population Association of America 2011 Annual Meeting. © 2011 Benetech. Creative Commons BY-NC-SA.
Sri Lanka
The Use of Unstructured Data to Study Police Use of Force
CHANCE
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
Analyzing patterns of violence in Colombia using more than 100 databases
RustConf 2019, and systems programming as a data scientist
How Data Analysis Confirmed the Bias in a Family Screening Tool
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States
James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed
Casanare, Colombia
FAQs on Predictive Policing and Bias
HRDAG’s Year End Review: 2018
Yezidi Activists Teach HRDAG about Human Rights – updated
State Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chad’s DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.
Romesh Silva, Jeff Klingner, and Scott Weikart. “State Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chad’s DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.” A Report by Benetech’s Human Rights Data Analysis Group to Human Rights Watch and the Chadian Association of Victims of Political Repression and Crimes. 29 January 2010. (Available in French) © 2010 Benetech. Creative Commons BY-NC-SA.
Welcoming Our 2019-2020 Visiting Data Science Student
HRDAG Retreat 2016
Analizando los patrones de violencia en Colombia con más de 100 bases de datos
Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents
Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents.” The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.
