Library spaces open to UCSF ID holders. See timeline for reopening.

Digital and Data Projects

These projects use code and data to facilitate work in the areas of the digital humanities, computational cultural heritage and health sciences, and machine learning, enabling broad research and educational inquiries.

No More Silence

The No More Silence project provides direct computational access to the historical documentation of the San Francisco Bay Area’s response to the HIV/AIDS epidemic. Specifically, it deals with materials housed in the UCSF Archives and Special Collections.

This project allows for broad research into the history of the epidemic, and it allows researchers, students, scholars, and the public to ask questions across a large quantity and variety of historic records at once. To support this goal, we create and provide access to the following resources:


We create and maintain a dataset of textual and image data representing nearly 200,000 pages of archival documents and associated archival metadata. See details of this dataset.

Computer code

We create and provide access to computer programs and code as examples for accessing and using the data contained in the dataset. See it on GitHub.

Educational workshops

We teach workshops using the dataset as a foundation to build beginning computer-programming literacy for researchers, scholars, and members of the public working in the areas of digital humanities and health sciences. 

Project Partners

We are grateful to the project partners who have assisted, collaborated, consulted on, and funded this work.

This project was supported in part by the U.S. Institute of Museum and Library Services under the provisions of the Library Services and Technology Act, administered in California by the State Librarian. The opinions expressed herein do not necessarily reflect the position or policy of the U.S. Institute of Museum and Library Services or the California State Library, and no official endorsement by the U.S. Institute of Museum and Library Services or the California State Library should be inferred.