Julia Lane and Victoria Stodden on Hearsay Culture broad/podcast: July 23, 2014

Hear Julia and Victoria in conversation with Dave Levine, host of Hearsay Culture, the show that illuminates “technology law issues for non-nerdy non-lawyers.”

Listen live at 2:00 pm Pacific time on Wednesday, July 23, or catch up by podcast any time after broadcast.

JSM 2014 in Boston: August 6, 2014

Join the editors — Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum — for an introductory lecture and panel on big data and privacy, at the Joint Statistical Meetings in Boston on Wednesday, August 6, 2014: 8:30 AM to 10:20 AM.

View the session details in the JSM program.

Book preview at New York Academy of Sciences: June 16, 2014

NEW! 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.

What? Me Worry? What to Do About Privacy, Big Data, and Statistical Research

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.