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This is the homepage for The Center for Knowledge Infrastructures on eScholarship. We conduct research on scientific data practices and policy, scholarly communication, and socio-technical systems.
Center for Knowledge Infrastructures
Presentations (103)
Privacy & Information Technology Syllabus, Fall 2017, UCLA
Privacy is a broad topic that covers many disciplines, stakeholders, and concerns. This course addresses the intersection of privacy and information technology, surveying a wide array of topics of concern for research and practice in the information fields. Among the topics covered are the history and changing contexts of privacy; privacy risks and harms; law, policies, and practices; privacy in searching for information, in reading, and in libraries; surveillance, networks, and privacy by design; information privacy of students; uses of learning analytics; privacy associated with government data, at all levels of government; information security, cyber risk; and how privacy and data are governed by universities. We will touch on relationships between privacy, security, and risk; on identification and re-identification of individuals; privacy-enhancing technologies; the Internet of Things; open access to data; drones; and other current issues in privacy and information technology.
Science, Scholarship, Knowledge Infrastructures, and Judy and Gary Olson
A celebration of the many contributions Judy and Gary have made to the Department of Informatics, UCI, and the research community at large. Gary and Judy Olson's Retirement Celebration Date: 11am-4:30pm, May 31, 2017 Location: Arnold and Mabel Beckman Center 100 Academy, Irvine, CA 92617 Information: Eventbrite
Publications (100)
Text data mining from the author's perspective: Whose text, whose mining, and to whose benefit?
Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose benefits.