Theorizing Data and AI provides a platform to explore key developments in data and AI studies. The third edition moves beyond the AI hype, aiming to build a collective narrative and foster a collaborative scholarly community.
For the first time, this edition includes a half-day session for PhD and early-stage researchers to share work-in-progress papers and move forward collectively (May 14th).
The two main days (May 15th & 16th) will feature a diverse lineup of keynote speakers, panel discussions, and presentations, highlighting the latest research on emerging AI and data studies trends.
This year’s keynote speakers are:
- Prof. Youngjin Yoo, Case Western Reserve University.
- Prof. Michael Power, London School of Economics.
- Dr. Callen Anthony, NYU Stern.
- Dr. Ella Hafermalz, KIN Center for Digital Innovation, VU Amsterdam
The event is designed to foster a collective narrative on data and AI, encouraging shared understanding and collaboration among scholars.
Submit an abstract of up to 500 words showcasing a current research project or a paper in progress that you would like to present. Include the names and details of all authors, and send this form by February 1st, 2025.
For further info please contact Cristina Alaimo and Lauren Waardenburg via theorizingai@gmail.com
