Learning advanced disciplinary knowledge & skills

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

Your relationship with your faculty advisor is an essential part of your graduate school experience. Learn practical skills and discover resources to help you communicate effectively and resolve issues with your faculty advisor.

Helen J. Doyle, PhD, associate vice provost for graduate education, VPGE

READ HELEN'S BIO

This interactive workshop will be followed by dinner and networking.

Navigate through grad school with the Graduate Professional Development (GPD) Framework - also known as the "VPGE Wheel". You’ll walk away from this interactive workshop with a tailored list of campus resources and learning experiences to help you make the most of your time in grad school, succeed academically, and prepare for your career beyond Stanford.

Helen J. Doyle, PhD, associate vice provost for graduate education, VPGE

Read Helen's bio

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.

Data Demo by Claudia Engel at 2019 Gear Up for Social Science Data Extravaganza 

The goal of reproducible research is to improve scholarship by documenting data, code, and methods so results can be replicated and be subjected to scrutiny. R supports reproducible research through the creation of documents that combine content and code. This session will provide an overview of how to generate these documents and review some of the relevant R packages.

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?