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
-
report
Data & SocietyD&S researchers Alex Rosenblat and Tim Hwang explore "the significant role of worker motivations and regional political environments on the social and economic outcomes of automation" in this report. Read moreOctober 2016 -
Book or Chapter
Duke University PressSareeta Amrute takes an ethnographic approach to the work and private experiences of Indian IT coders in Berlin. Read on Duke University PressAugust 2016 -
op-ed
Harvard Business ReviewD&S Researcher Alex Rosenblat examines how Uber’s app design and deployment redistributes management functions to semiautomated and algorithmic systems, as well as to consumer ratings systems, creating ambiguity around who ... Read on Harvard Business ReviewApril 2016 -
Academic Article
SSRND&S Fellow Sorelle Friedler and D&S Affiliate Ifeoma Ajunwa argue in this essay that well settled legal doctrines that prohibit discrimination against job applicants on the basis of sex or race dictate an examination of... Read on SSRNMarch 2016 -
Resource
Data & SocietyThis primer explores historical employment discrimination, and investigates the growing use of public data, algorithms, surveillance, and outcome-oriented scoring systems within work environments. Read moreOctober 2014 -
Resource
Data & SocietyThis primer explains how a growing reliance on automated systems, algorithms, and existing networks systematically benefits some at the expense of others -- often without employers even recognizing the biases of such mechanisms. Read moreOctober 2014 -
Resource
Data & SocietyThis primer raises critical questions about what fair labor looks like in a networked world and discusses how existing mechanisms of labor protection do not address these contemporary work scenarios. Read moreOctober 2014