using theories, methods, and tools of your field as expected for your degree

Join California Supreme Court Justice Cuéllar, who teaches the popular “Regulating AI” course at Stanford, Dan Ho, Associate Director of HAI and professor at the law school and political science, and Terah Lyons, the Founding Executive Director of the Partnership on AI, for a conversation on the law, regulation, and governance of AI!  The three will provide a range of perspectives on the promise, challenges, and directions for AI governance.

This workshop series is designed for Stanford graduate students interested in learning more about and developing their skills in community-engaged scholarship and community-based research. Invited speakers include leaders and practitioners across disciplinary fields. Sessions will be held over lunch. Please check the website for location confirmation: haas.stanford.edu.

Please RSVP here for an accurate headcount for food.

AI for Healthcare

Improving health requires targeting and evidence. Marzyeh tackles part of this puzzle with machine learning. This session will cover some of the novel technical opportunities for machine learning in health challenges, and the important progress to be made with careful application to domain.

AI for Earth and the Environment

How can AI and machine learning be leveraged to mitigate the impact of human activities on earth’s natural systems?  Learn about data science tools and strategies being used to safeguard our water supply, feed the worldwide human population, and promote greater biodiversity and global sustainability.

Lucas Joppa, Chief Environmental Officer, Microsoft

Gear UP for Social Science Data Talk by Emi Lesure

Data Demo for Qualitative Data Research: NVivo, Taguette, Python

Do you have “unstructured data” (e.g., government documents, interview transcripts, site videos) that you want to analyze qualitatively? Are you unsure about which tools fit your needs (small or large dataset, solo or team project) and how to use them?

Measuring, analyzing, and reporting data about learners, learning systems and learning programs have all contributed to understanding and optimizing learning experiences.

Women in Data Science@Stanford Earth features outstanding work done by outstanding women with the aim to educate, inspire and provide network opportunities for students, faculty and researchers. The workshop covers a range of topics in fundamental science as well as application areas in Earth resources, hazards, climate and sustainability.

Please join the Stanford Libraries' Green Library & the Stanford Graduate School of Business (GSB) Library and the Lane Medical Library for the...

2019 Gear Up for Social Science Data Extravaganza: