This month there are many of us across UC Berkeley excited to be presenting at JupyterCon 2025. Hosted out of beautiful San Diego we’ll be sharing work deepening research impact in health and geoscience, delivering the highest quality data science education with JupyterHub and Jupyter Book, and improving the accessibility of Jupyter infrastructure.
The Open Platforms For Health project - a collaboration between Computational Precision Health and BIDS and led by Ida Sim and Fernando Pérez - will present JupyterHealth: Bridging Wearables, Clinical Data, & Computational Workflows in the Jupyter Ecosystem. JupyterHealth is an open platform extending the Jupyter ecosystem into healthcare by integrating patient-generated data, clinical workflows, and computational research in a modular, standards-aligned architecture. The team is also running a tutorial Jupyter for Health: Exploring Patient Generated Health Data, Standards, Tools, AI Workflows.
Geospatial data is everywhere and matters to everyone. Almost everything we do as humans has time and place as a core defining attribute, from research endeavors to commercial logistics to civic planning and decision-making to daily personal planning. During his talk GeoJupyter: An Open Community for Accessible, Collaborative, and Interactive Geospatial Computing - which is supported in part by the Eric and Wendy Schmidt Center for Data Science & Environment (DSE) - community manager and software engineer Matt Fisher will introduce and live-demo GeoJupyter’s flagship project: JupyterGIS, a real-time-collaborative geospatial information system environment for JupyterLab. His talk will follow a tutorial co-hosted by experts across Project Jupyter on JupyterLab Extension Development for Everyone.
UC Berkeley has a rich history of leadership in leveraging Jupyter tools for world leading data science education. We’ll hear advice from computer science instructors including Rebecca Dang and Jonathan Ferrari on Teaching Data Engineering at Scale With Jupyter Notebooks at UC Berkeley and Jupyter Books for Education and Open Source Curriculum. UC Berkeley Data Science Education Outreach Lead Eric Van Dusen and Cal-ICOR and Cloudbank2 Engineer Sean Michael Morris will present their work on Scaling Data 8 With JupyterHub Across California’s Colleges. Allison Czapracki and Balaji Alwar will demonstrate how we can create Accessible Jupyter Notebooks: UC Berkeley’s JupyterLab-A11y-checker Prototype. This fall, we are celebrating the 10-year anniversary of Data 8: Foundations of Data Science, a cornerstone of education at UC Berkeley. With financial support from community members like you, critical academic resources such as tutoring and student instruction can be funded and will empower all students to explore, excel and lead in data science.
Photo from the National Workshop on Data Science Education at UC Berkeley, June 2025: (from left) Eric Van Dusen, Fernando Pérez, Ciera Martinez, Sean Morris, Brigitta Sipőcz, Chris Holdgraf (back), Kirstie Whitaker
The JupyterHub team - including BIDS staff Min Ragan-Kelley and Kirstie Whitaker, and our partners at 2i2c (the International Interactive Computing Collaboration) - will be busy! They’re hosting two tutorials: a walkthrough of Teaching AI With Small Language Models on JupyterHub and a JupyterHub User Workshop. The user workshop was designed based on an ethnographic study of the JupyterHub leadership and contributor community. You can hear open leadership advisors at Organizational Mycology present their findings in Telling the Story of JupyterHub: Findings From the Voices of JupyterHub Project.
Last, but by no means least - and in collaboration with the Scientific Python project, founded by BIDS researchers Stéfan van der Walt and Jarrod Millman - BIDS will collaboratively deliver a tutorial to support newcomers to Build-a-Jupyter Book With the Turing Way.
For those of you who will be attending JupyterCon 2025, this is just a preview of the incredible content you will have access to. (Check out the full program for even more content that spans the global Jupyter ecosystem.) For those who cannot make it, we hope the resources linked in this article will give you a sense of the depth of Jupyter work at UC Berkeley and inspire you to join us!
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