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. We continue to publish findings from our previous three-year Sloan Foundation project #2011-3194, The Transformation of Knowledge, Culture, and Practice in Data-Driven Science: A Knowledge Infrastructures Perspective. 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

Pasquetto and Randles present at 4S 2017 in Boston

Our PhD students Irene Pasquetto and Bernie Randles gave presentations on September 1 at the 2017 Annual Meeting of the Society for Social Studies of Science in Boston. The doctoral candidate Irene Pasquetto gave a presentation titled Decentralizing Climate Change Data While Preserving Scientific Value. The talk included Pasquetto’s analysis on the research practices of data management, curation, sharing and reuse in science. Our PhD student Bernie Randles presented her research work on the role of the algorithms in knowledge creation in computationally-intensive science domains. Her presentation Spacetime and code-time: Astronomical algorithms evolving through dimensions of temporality and materiality was part of the session Making Algorithms: Inscriptions, Benchmarks and Computers.   See the abstract of Decentralizing Climate Change Data While Preserving Scientific Value See the abstract of Spacetime and code-time: Astronomical algorithms evolving through dimensions of temporality and materiality...

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? https://knowledgeinfrastructures.gseis.ucla.edu. 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 https://sloan.org/programs/digital-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...

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