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
Databites"The Public Interest" is the first talk in our three-part Databite series, Conversations on The Datafied State, that begins to explore governments use of tech and the transformation of government through its use. Read moreApril 2022 -
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 -
op-ed
The Globe and MailThe new-found power of gig economy workers. Read on The Globe and MailJune 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 -
op-ed
Slate2017-2018 Fellow Jeanna Matthews and Research Analyst Kinjal Dave respond to Deji Olukotun's story about an algorithmic tennis match. "The answer can’t be derived from the past alone: It depends on what we collectively decide... Read on SlateAugust 2018