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. […]
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 […]
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: […]
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 […]
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 […]
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 […]
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) […]
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 […]
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 […]
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 […]
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 […]
Today, one in three online users is under 18, but the original design of most digital technologies did not anticipate the use of those technologies by children. IEEE 2089™-2021, Standard […]