Listen live at 2:00 pm Pacific time on Wednesday, July 23, or catch up by podcast any time after broadcast.
View the session details in the JSM program.
Videos from the event are available at the CUSP site
Including capstone speaker Theresa Pardo: Making Data More Available and Usable
On June 16, 2014, the Center for Urban Science + Progress (CUSP) will host a workshop in New York City to discuss the forthcoming book, Privacy, Big Data, and the Public Good: Frameworks for Engagement. The book, edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum, will be published by Cambridge University Press.
Privacy concerns over the use of big data for commercial or intelligence purposes are much discussed, yet big data can also be harnessed to serve the public good. Federal, state, and local governments can better use their data to improve services and reduce taxpayer costs; scientists can use new forms of data to do research that improves people’s lives; and non-profit organizations can use information to advocate for public causes. Concern over privacy and confidentiality issues must be addressed to enable the realization of these beneficial uses of big data.
Authors in this book have provided, for the first time in one place, an accessible summary of the important legal, economic, and statistical thought that frames the many privacy issues associated with the use of big data. Yet, they also identify practical suggestions for protecting privacy and confidentiality that can help guide practitioners.
Just as statistical scientists bring invaluable skills to Big Data from the perspective of data quality and analysis, they are essential from the privacy perspective, as well. In this guest column, Julia Lane and Victoria Stodden—chair and member of the ASA Privacy and Confidentiality Committee, respectively—discuss the complex privacy issues inherent in Big Data and outline the challenges to statistical scientists for addressing these issues.
Read the column in the December 2013 issue of Amstat News.