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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Longform
Centre for Media, Technology and DemocracyIn the wake of the 2020 global pandemic, governments and corporations worldwide are adopting unprecedented data-gathering practices to stop the spread of COVID-19 and transition to safer and more economically stable futures. This series examines how public and private actors are using pandemic response technologies to capitalize on this extraordinary moment. Read on Centre for Media, Technology and DemocracyOctober 2020 -
blog post
PointsData privacy and security concerns are not TikTok specific Read on PointsSeptember 2020 -
event
podcast
video
Brooklyn Public LibraryIn this talk co-presented by Data & Society and Brooklyn Public Library, historian Jill Lepore discusses her new book "If Then" in conversation with danah boyd, founder and president of Data & Society. Read moreSeptember 2020 -
report
Resource
Data & SocietyA Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities Read moreSeptember 2020 -
Longform
People + Strategy JournalHR leaders need to understand that increased monitoring of employees can lead to long-term consequences and misuse. Read on People + Strategy JournalJune 2020 -
event
podcast
video
Data & SocietyLearn about the work of our 2019-2020 Fellows over this past year. Read moreJune 2020 -
blog post
PointsSome workers are already more vulnerable. Technology that exposes their COVID-19 status will not help. Read on PointsJune 2020 -
report
Data & SocietyThis "living document" explores a range of perspectives on differential privacy, a disclosure avoidance system designed to help the Census Bureau balance privacy & data utility. Read moreMay 2020 -
blog post
PointsIs tech colonial today? A transcript of Sareeta Amrute's talk at EPIC2019. Read on PointsFebruary 2020 -
op-ed
The ConversationFaculty Fellow Michele Gilman explains how the use of AI in welfare fraud detection often ends up harming the most vulnerable. Read on The ConversationFebruary 2020