AI and the Health of Our Planet

AI and the Health of Our Planet

The Data Science and AI Institute and the Krieger School of Arts and Sciences (KSAS) symposium series.

By Data Science and AI Institute

Date and time

Tuesday, April 30 · 3:30 - 6:15pm EDT

Location

Shriver Hall, Johns Hopkins Homewood Campus

3400 N. Charles Street Clipper Room Baltimore, MD 21218

About this event

The Data Science and AI Institute and the Krieger School of Arts and Sciences recently launched a series of symposia about the confluence of AI with the natural and social sciences and the humanities to create a community of KSAS scholars whose interests include using AI tools in their research and/or are studying AI’s impact on society.

Each symposium will focus on a theme and speakers have been asked to prepare their talks for a general, well-informed audience. Most speakers will be KSAS scholars in the natural sciences, social sciences, and humanities, data science and AI practitioners, and researchers from other university divisions.

The next symposium will be held on Tuesday, April 30 and is co-sponsored by the Johns Hopkins Institute for Planetary Health (JHIPH).

“AI and the Health of Our Planet”
Tuesday, April 30, 3:30 to 6:15 p.m.
Homewood Campus
Clipper Room in Shriver Hall

Speakers and Agenda:
3:30 - 4 p.m. | Sam Myers: Innovations in Technology Will Fuel a Great Transition to a Livable Future
4 - 4:30 p.m. | Anand Gnanadesikan: Role of Big Data, Computation and AI in Protecting Planetary Health
4:30 - 5 p. m. | Jennifer Sleeman: Could Generative AI Enable Climate Discovery Research?
5 - 5:30 p.m. | Bentley Allan: AI and Political Judgment in an Era of Green Industrial Policy
5:30 - 6:15 p.m. | Reception


The speakers will address various aspects of the interface between earth science, public health, climate policy, AI, and data science. Each speaker will give a talk on the topic, followed by an audience Q&A session, and a reception for speakers and guests. We hope you can join us. Please register for this in-person only event.

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