The Center for Knowledge Infrastructures is located in the UCLA Department of Information Studies and directed by Christine L. Borgman, Distinguished Professor and Presidential Chair in Information Studies. We conduct research on scientific data practices and policy, scholarly communication, and socio-technical systems. We also mentor students, post-doctoral fellows, and visiting scholars in these areas. Our largest current project, titled If Data Sharing is the Answer, What is the Question?, is funded by the Digital Information Technology Program of the Alfred P. Sloan Foundation #2015‐14001. This three-year project is studying data practices, policy, and infrastructure of four distributed scientific collaborations, exploring methods of data collection and management, innovations in scaling and workflows, and multidisciplinary approaches to complex problems. Also in progress is a study of the uses and users of digital data archives, conducted in cooperation with DANS, the Digital Archiving and Networked Services program in the Netherlands. Research in the Center also has been funded by grants from the National Science Foundation and gifts from Microsoft Research.

Center for Knowledge Infrastructures Team, Advisory Board, and guests (L-R):
Cheryl Thompson, Peter Darch, Christine Borgman, Josh Greenberg, Alex Szalay, Stuart Geiger, Michael Scroggins, Alyssa Goodman, Charlotte Cabasse-Mazel, Carl Kesselman, Marilyn Raphael, Milena Golshan, Irene Pasquetto, and George Djorgovski.
Photo by: Jennifer Arcand

Dr. Borgman’s October Appointments at Harvard


 
Professor Christine Borgman will be participating in a fellowship at the Harvard-Smithsonian Center for Astrophysics for October 2018 with a joint appointment at the Harvard Data Science Initiative. During her CfA fellowship, Dr. Borgman plans to advance a decade-long study of astronomy data practices to ask questions about the durability and fragility of these infrastructures and the invisible work required to sustain access to data, tools, instruments, publications, documentation, and other infrastructure components. Lessons learned are expected to advance data stewardship in astronomy and other scientific domains.

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