Documenting COVID-19

The Algorithms Project

The Algorithms Project, started by former Stanford JSK-HAI Fellow Garance Burke and now led by New York-based investigative journalist Georgia Gee, began with support from the John S. Knight Journalism Fellowships at Stanford University as part of the Covid Public Info project. It included contributions from Beryl Lipton and input from team members, MuckRock and Outlier Media.

The project aims to obtain information from state and federal agencies around the use of algorithms and other predictive tools amidst the COVID-19 pandemic. Specifically, the project looks into the function of algorithms in policy decisions regarding unemployment; release from state and federal prisons and jails; and surveillance, such as thermal cameras and facial recognition. These records are maintained by federal and state governments but typically are not made public without an open-records request.

Documenting COVID-19 continues to look into the use of algorithms amid the pandemic, exploring the extent of bias in AI medical technologies. The project aims to investigate whether predictive tools related to COVID-19 have had an impact on marginalized communities, such as data-driven decisions on testing locations.

If you have information or expertise that would be helpful to this project or would like to collaborate with us, you can email us at info@documentingcovid19.io.

John S. Knight Journalism FellowshipsThe Brown InstituteMUCKROCK     

Record Set(s)

North Dakota Department of Corrections & Rehabilitation Recidiviz agreement

Date Updated: September 24, 2020

Date Added: September 23, 2020

ND

Principal Subject: North Dakota Department of Corrections & Rehabilitation

This is the Research & Confidentiality Agreement between Recidiviz, and the Idaho Department of Correction which shows how algorithms and data sharing decisions were made from January 2019 to the present.

Date Range: January 18, 2019

Format Details: .pdf (335.8KB, 6 pages)

Idaho Department of Corrections Recidiviz Data Sharing Agreement on prison release

Date Updated: September 23, 2020

Date Added: September 23, 2020

ID

Principal Subject: Idaho Department of Corrections

This is the data sharing agreement between Recidiviz, and the Idaho Department of Correction which shows how algorithms are used for the purpose of population and release decisions in the state for the period from December 31, 2019 .

Date Range: December 31, 2019

Format Details: .pdf (939.6KB, 12 pages)

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