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
-
blog post
Dmlcentral.netD&S researcher Claire Fontaine writes a compelling piece analyzing whether or not school performance data reinforces segregation. Data is great at masking its own embedded bias, and school performance data allows privilege... Read on Dmlcentral.netAugust 2016 -
blog post
MediumIn “Class or Race: The Factor that Matters More for Equity,” D&S research analyst Mikaela Pitcan tackles the question of whether racial or class diversity should be considered the most important indicator of equity. Pitcan ... Read on MediumAugust 2016 -
blog post
MediumD&S researcher Claire Fontaine writes about data is speeding up school segregation. Data is great at masking its own embedded bias, and school performance data allows privileged parents to reinforce educational inequality.... Read on MediumAugust 2016 -
blog post
Points"The FBI recently announced its plan to request that their massive biometrics database, called the Next Generation Identification (NGI) system, be exempted from basic requirements under the Privacy Act. These exemptions would p... Read on PointsJune 2016 -
blog post
Points"Code is key to civic life, but we need to start looking under the hood and thinking about the externalities of our coding practices, especially as we’re building code as fast as possible with few checks and balances." Point... Read on PointsJune 2016 -
blog post
PointsIn this Points piece “Real Life Harms of Student Data,” D&S researcher Mikaela Pitcan argues that assessing real harms connected with student data forces us to acknowledge the mundane, human causes. And she asks: "What do ... Read on PointsJune 2016 -
blog post
PointsAnnette Markham weighs in on the conversation on ethics education and considers how university educators might respond. Read on PointsMay 2016 -
blog post
Points"Could policies exist to guide what algorithms find relevant? Algorithms depend on data to make recommendations. Could certain cultural metadata be embedded to ensure Canadian content has other pathways of discovery beyond a pl... Read on PointsMay 2016 -
blog post
CultureDigitally.orgD&S Advisor Tarleton Gillespie responds to Gizmodo's recent piece alleging bias in Facebook's Trending Topics list. He argues that information algorithms like the ones used to identify “trends” on Facebook do not work alone... Read on CultureDigitally.orgMay 2016 -
blog post
Balkin.blogspot.comReflections from D&S Affiliate Solon Barocas and Advisors Edward W. Felten and Joel Reidenberg on the recent “Unlocking the Black Box” Conference held on April 2 at Yale Law School: Our work on accountable algorithms shows... Read on Balkin.blogspot.comApril 2016