Overview
The Data Fluencies Project seeks to develop an expansive and interdisciplinary approach that combines the interpretative traditions of the arts and humanities with critical work in the social and data sciences to support innovative engagements with (and resistances to) our data-filled world.
Through research workshops, dissertation grant competitions, and a range of publications, Data Fluencies explores the societal impacts of algorithmic systems and digital communication to support informed and responsible technology use.
This project brings together partners from the Digital Democracies Institute at Simon Fraser University, Canada; Emerson College, USA; University of Canterbury, New Zealand; University of Kentucky, USA; University of Southern California, USA; and York University, Canada.
Programs and Projects
The Data Fluencies Dissertation Grants Competition supports projects that apply humanist and social science methods to public-interest technology, big data governance, and digital culture.
As part of the Data Fluencies project, the SSRC will host interdisciplinary workshops for scholars in the humanities and social sciences. These workshops allow scholars the opportunity to give and receive feedback, foster innovation and collaboration, and prepare their work to be accessible to wider audiences.
Publications that emerge from our workshops are aimed at building data fluencies for a broad range of audiences. We support scholars seeking to share their research across both academic and public-facing platforms.
Programs & Projects
This research development workshop furthers the goal of the project by catalyzing new research, advancing public scholarship, and creating new connections among scholars who are interrogating and challenging our data-filled world.
Drilling Down to the Data: Navigating Data Politics at the Heart of AI Policy
The Social Science Research Council (SSRC) invites applications for its research development workshop on Drilling Down to the Data: Navigating Data Politics at the Heart of AI Policy on July 22–23, 2024.