Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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event
podcast
video
Data & SocietyA conversation with experts on the emerging regulations in the EU, US, and Canada, and asks how impact assessment practices can effectively account for the harms caused by algorithmic systems. Read moreJune 2021 -
podcast
Data & SocietyDeb Raji and Arthur Gwagwa discuss AI and automation across different geopolitical contexts. Read moreJune 2021 -
podcast
Data & SocietyA new podcast series from Data & Society and Public Books that explores the past, present, and future of data. Read moreMay 2021 -
report
Data & SocietyThis report identifies three major digital barriers to economic justice arising from the pandemic. Read moreApril 2021 -
event
podcast
video
Data & SocietyDavid Robinson discusses an example of an effective application of an algorithm in healthcare. Read moreDecember 2020 -
Longform
Data & SocietyHow can we do less harm to communities of color with the technology we create? In their new paper Advancing Racial Literacy in Tech, Data & Society 2018-19 Fellows Jessie Daniels and Mutale Nkonde and 2017-18 Fellow Dara... Read moreMay 2019 -
blog post
PointsThe Algorithmic Accountability Act is a great first step, and regulators who are tasked with implementing it should take sociotechnical frames into account. "A sociological lens can help illuminate appropriate points of inst... Read on PointsApril 2019 -
video
DatabitesData & Society Fellow Jeanna Matthews speaks about algorithmic accountability and transparency within the context of the criminal justice system. Important decisions in our society are being made evermore frequently by o... Read moreJune 2018 -
podcast
video
DatabitesIn Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination... Read moreMay 2018 -
podcast
Data & SocietyD&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & SocietyJanuary 2017