Seminar Series

Stanford Data Science (SDS) is organizing a scientific seminar series, normally scheduled on the first Wednesday of the month. To provide some cohesiveness to the events and to ensure that over time we can explore the diverse topics that fit the data science umbrella, we plan to identify an overarching theme for each academic year. During 2024-25 the theme for the seminar series is "Scientific Discovery in the Age of Data and AI.”

Scientific Discovery in the Age of Data and AI

The last few years have seen a substantial increase in the reported success of machine learning (ML), and generative artificial intelligence (AI). These impact practices in delivering services from financial institutions to entertainment and medicine. However scientific research also increasingly relies on large data sets, whose analysis leverages ML/AI. This seminar series aims to investigate if and how the paradigm for scientific research has changed or should change to incorporate these new tools and the possibilities they open.

A diverse group of scholars engaged in scientific research, method development, and historical and epistemological investigations will give a 50-minute presentation, followed by discussion.

The event is open to the Stanford Community. Stanford students and postdocs have the opportunity to engage more directly with speakers and topics by enrolling in the Canvas course here.

Speakers in the series include Ellen Zhong (Princeton), Tom Griffiths (Princeton), Thomas Icard (Stanford), and Jure Leskovec (Stanford) among others.