Welcome to the Yale School of Public Health Data Science and Data Equity (YSPH DSDE) curation of Yale’s AI/ML and data science courses, educational opportunities, events, and fellowships. This comprehensive collection was assembled to support DSDE’s mission of reducing barriers to data science and AI adoption in public health training, research, and practice.
Our mission is to develop robust public health data science infrastructure that ensures secure, equitable data access while translating complex methodologies into user-friendly, open-source tools and publicly available datasets. We strive to make high-quality public health resources universally accessible and foster data-driven decision-making across the field.
Navigating the Site
Navigate to our comprehensive collection of education resources offered at Yale using the tiles below. Each tile contains salient details, as shown in the example below.
The lower section of each tile includes hyperlinked icons and a brief keyword describing the subject area. Lead instructors and resource creators are listed below the resource name with links to their Yale pages. When applicable, semester codes appear in the bottom-left corner of the banner image: “Fa” (Fall), “Sp” (Spring), “Su” (Summer), “As” (asynchronous), and “Va” (when offerings vary).
BIS 565: The Role of Ethics and Equity in Data Science and AI
With the explosion of conversational generative artificial intelligence (AI) tools, such as ChatGPT, Gemini, Llama, Claude Sonnet, DeepSeek, and many others, innovations in data science are greatly influencing day-to-day decision making of the public including...
Each tile features any combination of five hyperlinked icons:
Links to the main website for the educational program or initiative.
Links to websites of research groups offering the educational resource.
Links to the course site or learning platform.
Links to code repositories containing supplementary educational materials.
Links to publications inspired by or resulting from the educational resource.