First emerging from the anonymous imageboard 4chan, Anonymous found its activist sea legs in 2008 during a worldwide protest campaign against the Church of Scientology. Not long after, Anonymous surged in visibility and popularity as hackers used the name to lay claim to high-profile hacktivist actions. Other groups and individuals used it to coordinate dozens […]
The volume of information available to human rights practitioners has grown steadily since the globalization of Internet access and the widespread adoption of smartphones across geographies, cultures, and socioeconomic classes. This vast material landscape creates an unprecedented visual record of the experiences of a significant percentage of humanity. When properly collected and analyzed, this material […]
The Race + Data Science Lecture Series aims to celebrate and advance research in the areas of race and data, engineering, and computational science. With this series of events, our goal is to improve how we as data scientists and data-adjacent researchers speak about race. Jasmine McNealy, Associate Professor, College of Journalism and Communications, University of Florida
This talk will draw on research from “Wearing Many Hats,” a forthcoming Data & Society report authored by Matt Goerzen and Gabriella Coleman. Dr. Coleman describes her talk as follows: Our report examines the transformative period in which many hackers moved from a vilified underground subculture into a domain of respected professionalism, playing a privileged […]
Transparency is in high demand in tech policy: Advocates are calling for more information to help fight discrimination and empower users to speak online, researchers are seeking access to data to better understand the online environment, and lawmakers are demanding answers from tech companies at high-profile hearings. Whether people are concerned about online services restricting […]
Join author Hannah Zeavin for this conversation with Data & Society's Health and Data researcher Livia Garofalo and psychiatrist Dr. Romy Gad el Rab, inspired by Zeavin's new book "The Distance Cure: A History of Teletherapy" (MIT Press). Provocations and Q&A follow the discussion.
Race and technology are closely intertwined, continuously influencing and reshaping one another. While algorithmic bias has received increased attention in recent years, it is only one of the many ways that technology and race intersect in computer science, public health, digital media, gaming, surveillance, and other domains. To build inclusive technologies that empower us all, […]
Prof. Narayanan is Associate Professor of Computer Science at Princeton University, at Princeton University, and Prof. Pasquale is Professor of Law at Brooklyn Law School. The (Public Interest Technology Chat) PITCh is a monthly series of remote conversations between established and early career scholars to support the work of practitioners and academics interested in public […]
Bringing together contributors of the book, this speaker series explores how feminists employ a variety of online platforms, practices, and tools to create spaces of solidarity and to articulate a critical politics that refuses popular forms of individual, consumerist, white feminism in favor of collective, tangible action. This session approaches to exploring networking feminisms. Meet […]
We're excited to announce our next event for the Eyebeam Fold community! If you haven't yet joined the Fold, we invite you to do so now and take part in our virtual event on January 27, 2022, at 12 pm EST featuring artists Kevin Gotkin and Ezra Benus. In this roundtable discussion titled "Accessibility Biases […]
Join author Catherine Knight Steele for this conversation with Data & Society's Policy Research Analyst Serena Oduro, inspired by Catherine Knight Steele's new book "Digital Black Feminism" (NYU Press). Provocations and Q&A follow the discussion. Buy your copy of the book here: https://bookshop.org/a/14284/9781479808380.
Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However, these discussions sidestep deeper issues with data used in AI, including problematic categorizations and the extractive logics of crowdwork and data mining. In this talk, I make two […]