April 2013
Sun Mon Tue Wed Thu Fri Sat
  1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30        

Authors' Committee

Chair:

Matt Blackwell (Gov)

Members:

Martin Andersen (HealthPol)
Kevin Bartz (Stats)
Deirdre Bloome (Social Policy)
John Graves (HealthPol)
Rich Nielsen (Gov)
Maya Sen (Gov)
Gary King (Gov)

Weekly Research Workshop Sponsors

Alberto Abadie, Lee Fleming, Adam Glynn, Guido Imbens, Gary King, Arthur Spirling, Jamie Robins, Don Rubin, Chris Winship

Weekly Workshop Schedule

Recent Comments

Recent Entries

Categories

Blogroll

SMR Blog
Brad DeLong
Cognitive Daily
Complexity & Social Networks
Developing Intelligence
EconLog
The Education Wonks
Empirical Legal Studies
Free Exchange
Freakonomics
Health Care Economist
Junk Charts
Language Log
Law & Econ Prof Blog
Machine Learning (Theory)
Marginal Revolution
Mixing Memory
Mystery Pollster
New Economist
Political Arithmetik
Political Science Methods
Pure Pedantry
Science & Law Blog
Simon Jackman
Social Science++
Statistical modeling, causal inference, and social science

Archives

Notification

Powered by
Movable Type 4.24-en


« Guest Post by Patrick Lam on "Estimating Individual Causal Effects" | Main | App Stats: Roberts, Stewart, and Tingley on "Topic models for open ended survey responses with applications to experiments" »

22 April 2013

App Stats: Vadhan on "Privacy Tools for Sharing Research Data"

We hope you can join us this Wednesday, April 24, 2013 for the Applied Statistics Workshop. Salil Vadhan, Professor of Computer Science and Applied Mathematics from the School of Engineering & Applied Sciences at Harvard University, will give a presentation entitled "Privacy Tools for Sharing Research Data". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"Privacy Tools for Sharing Research Data"
Salil Vadhan
School of Engineering & Applied Sciences, Harvard University
CGIS K354 (1737 Cambridge St.)
Wednesday, April 24th, 2013 12.00 pm

Abstract:

I will give an overview of a large, new multidisciplinary project at Harvard on "Privacy Tools for Sharing Research Data." The project is a collaborative effort between the Center for Research on Computation and Society, the Institute for Quantitative Social Science, and the Berkman Center for Internet and Society, and is funded as a Frontier grant in the NSF Secure and Trustworthy Cyberspace Program, building on seed funding from Google. The goal of the project is to help enable the collection, analysis, and sharing of personal data for research in social science and other fields while providing privacy for individual subjects. Bringing together computer science, social science, statistics, and law, we seek to refine and develop definitions and measures of privacy and data utility, and design an array of technological, legal, and policy tools for social scientists to use when dealing with sensitive data. These tools will be tested and deployed at the Harvard Institute for Quantitative Social Science's Dataverse Network, an open-source digital repository that offers the largest catalogue of social science datasets in the world. In addition to contributing to research infrastructure for social scientists around the world, the ideas developed in the project may benefit society more broadly as it grapples with data privacy issues in many other domains, including public health and electronic commerce.

Posted by Konstantin Kashin at April 22, 2013 12:14 AM