672 results for search: %E3%80%94%EC%A4%91%EB%85%84%ED%8F%B0%ED%8C%85%E3%80%95%20WWW%E0%BC%9DPAYO%E0%BC%9DPW%20%20%EB%B2%95%EC%A0%84%EB%A7%8C%EB%82%A8%ED%86%A1%20%EB%B2%95%EC%A0%84%EB%AA%A8%EC%9E%84%EC%96%B4%ED%94%8C%E2%88%83%EB%B2%95%EC%A0%84%EB%AF%B8%ED%8C%85%EC%96%B4%ED%94%8C%E2%97%86%EB%B2%95%EC%A0%84%EB%B2%88%EA%B0%9C%ED%8C%85%E2%92%AA%E3%81%B4%E9%B9%80lewdness/feed/content/colombia/dcede2009-28 (1).pdf
The UDHR Turns 70
HRDAG’s Year in Review: 2022
How do epidemiologists know how many people will get Covid-19?
Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.
Counting the Dead in Sri Lanka
Fourth ALGO story
Outreach at Toronto TamilFest for Counting the Dead
How much faith can we place in coronavirus antibody tests?
Megan Price, Morgan Agnew, and David Peters (2020). How much faith can we place in coronavirus antibody tests? Granta. 28 April 2020. © Granta Publications 2020.
HRDAG’s Year in Review: 2023
Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis
Romesh Silva, Jasmine Marwaha and Jeff Klingner. “Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis,” A Joint Report by Benetech’s Human Rights Data Analysis Group & Ensaaf, Inc. January, 2009.
Multiple Systems Estimation: The Matching Process
Nonprofits Are Taking a Wide-Eyed Look at What Data Could Do
In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here’s an excerpt: “Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems,” says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
“If you’re looking at poverty or trafficking or homicide, we don’t have all the data, and we’re not going to,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”
The causal impact of bail on case outcomes for indigent defendants in New York City
Kristian Lum, Erwin Ma and Mike Baiocchi (2017). The causal impact of bail on case outcomes for indigent defendants in New York City. Observational Studies 3 (2017) 39-64. 31 October 2017. © 2017 Institute of Mathematical Statistics.
HRDAG To Join the Partnership on AI
Cuentas y mediciones de la criminalidad y de la violencia
Exploración y análisis de los datas para comprender la realidad. Patrick Ball y Michael Reed Hurtado. 2015. Forensis 16, no. 1 (July): 529-545. © 2015 Instituto Nacional de Medicina Legal y Ciencias Forenses (República de Colombia).
Limitations of mitigating judicial bias with machine learning
Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.
Christian Davenport and Patrick Ball. “Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.” Journal of Conflict Resolution 46(3): 427-450. 2002.