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

UCLA Post-Doctoral Research Position to Study Data and Software Practices in Science

One-year appointment beginning October 1, 2017, with possibility for renewal to summer 2019. Posted June 14, 2017; review of applications begins July 15, 2017; submission deadline is July 30, 2017. The UCLA Center for Knowledge Infrastructures seeks a postdoctoral researcher to join our research project (2015-2019), If Data Sharing is the Answer, What is the Question? We are conducting interview, ethnographic, and document studies of scientific data practices such as data collection, analysis, management, sharing, and reuse in astronomy, earth sciences, and health sciences. This project is funded by the Alfred P. Sloan Foundation, Program in Digital Information Technology The postdoctoral researcher will participate in our team project to develop a new research theme on the interdependencies of data and software in scientific practices, and the resulting challenges for data reuse, stewardship, and sustainability. The researcher will collect new data, mine a 15-year trove of data for comparative analyses, and participate actively in the collaboration, including the design, conduct, and analysis of interviews, document analysis, ethnographic fieldwork, and writing for publication. The postdoctoral researcher will gain experience in collaborative research, research project organization, and digital data research practices. The project is based at the University of California at Los Angeles (UCLA) and residence nearby is required for the duration of the postdoctoral research appointment. Some travel is required for research and conferences. Required background includes completion of the PhD; social science research experience in conducting interviews, document analysis, or ethnography; strong writing skills, research experience studying any of the physical sciences or life sciences; and substantial knowledge of scholarly communication, practice, and policy in data-driven research. Preferred...

Dr. Borgman presents at the UCLA Astrophysics Journal Club

On March 7, Professor Christine Borgman presented our latest paper to faculty and students at the Astrophysics Journal Club. The paper, The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy, is a result of a continuous study of knowledge infrastructures in astronomy. Presented paper: Borgman, C. L., Darch, P. T., Sands, A. E., & Golshan, M. S. (2016). The durability and fragility of knowledge infrastructures: Lessons learned from astronomy. In Proceedings of the Association for Information Science and Technology (Vol. 53, pp. 1–10). ASIS&T.

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