Sarah Bird, Fernando Diaz, Hanna Wallach, with D&S affiliates Solon Barocas and Kate Crawford, wrote this analysis about implications in autonomous experimentation in AI. In the field of computer science, large-scale exp... Read on SSRN

D&S affiliates Ifeoma Ajunwa and Kate Crawford, with Joel Ford, co-wrote this piece discussing how big data is used in wellness programs instituted by large corporations and how that can impact workers' privacy and can spark em... Read on Journal of Law, Medicine and Ethics

D&S researcher Monica Bulger analyzes how 'power learners' utilize and contribute to online learning communities with researchers Cristobal Cabo, Jonathan Bright, and Ryan den Rooljen. We propose two fundamental questions ... Read on SSRN

D&S post-doctoral scholar Caroline Jack analyzes the history of how businesses donated personal computers to classrooms as a way to engage students. In late 1982, the corporate-funded business education nonprofit Junior Achi... Read on IEEE Annals of the History of Computing

D&S researcher Robyn Caplan co-wrote a paper analyzing how many large well-known companies, such as Buzzfeed and Facebook, argue against being categorized as media companies. However, Caplan and co-writer Philip M. Napoli a... Read on SSRN

The mythology surrounding “big data” rests on the notion that technical systems can increase efficiency and decrease bias. Such “neutral” systems are supposedly good for implementing legal logic because, like these systems, law... Read on Florida Law Review Forum

D&S fellow Diana Freed co-authored a health technology piece that introduces an approach called YADL (Your Activities of Daily Living), which 'uses images of ADLs and personalization to improve survey efficiency and the pat... Read on arXiv

D&S researcher Alex Rosenblat and Luke Stark published a case study of Uber drivers and highlight the information and power asymmetries produced by the Uber application. Abstract is below. Uber manages a large, disaggregat... Read on International Journal of Communication

D&S researcher Jacob Metcalf writes "Big Data Analytics and Revision of the Common Rule". Abstract is below: "Big data" is a major technical advance in terms of computing expense, speed, and capacity. But it is also an epi... Read on ACM.org

D&S advisor Tarleton Gillespie writes "Algorithmically recognizable: Santorum’s Google problem, and Google’s Santorum problem". Abstract is below: Because information algorithms make judgments that can have powerful conseq... Read on Taylor & Francis Online