News

Cultures of Datafication Workshop

Cultures of Datafication Workshop

Join April 12th and 13th for an interdisciplinary workshop exploring the historical and emergent trajectories of data-driven knowledge production in South Asia as they relate to three broad themes: identity, governance, and energy.

Call for DDDI Postdoctoral Fellowship Applications

Call for DDDI Postdoctoral Fellowship Applications

Applications are now open for the 2024/2025 DDDI Postdoctoral Fellowship cycle! The fellowship opportunity is open to postdocs in the School of Arts & Sciences who use data science as a significant part of their research methodology. We encourage postdocs across the natural and social sciences to apply!

Gen AI for Social Good Award

Gen AI for Social Good Award

DDDI honors Penn graduate students Shriya Ramakrishnan, Manvi Kaul, Emma Jin, and Zahra Khodakarami with the Generative AI for Social Good Award for their Gen AI hackathon project, a personal AI assistant for the estimated 17 million people living with cerebral palsy.

Generative AI Hackathon

Generative AI Hackathon

Sign up for Penn’s first Generative AI Hackathon! The hackathon is a university-wide two day event (2/16-17) in Tangen Hall for Penn students to learn, build, and create Gen AI based applications. No AI or hackathon experience required. Apply by February 9, 2024 to get involved.

Cultures of Datafication in & across South Asia

Cultures of Datafication in & across South Asia

A collaborative workshop taking place at Penn on April 12-13, 2024, to bring together interdisciplinary researchers and practitioners to discuss historical and emergent trajectories of data-driven knowledge production in South Asia. The deadline to submit an abstract is January 31, 2024.

Data Scientists @ Penn

Data Scientists @ Penn

The DDDI, in collaboration with the RDDS, is initiating a Data Scientists at Penn Introductory Event. This event which will bring together practitioners of data science, engineering, and visualization from across the University who often work in isolated clusters on these topics.