Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
DigitalCollections@ILR
ILR School
  1. Home
  2. ILR School
  3. Centers, Institutes, Programs
  4. Labor Dynamics Institute
  5. Sloan Foundation: The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies
  6. Final and Cumulative Annual Report for Alfred P. Sloan Foundation Grant G-2015-13903 “The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies”

Final and Cumulative Annual Report for Alfred P. Sloan Foundation Grant G-2015-13903 “The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies”

File(s)
sloan_privacy_annualreport_2018-2019-final.pdf (904.76 KB)
Report in pdf file
Permanent Link(s)
https://hdl.handle.net/1813/66139
Collections
Sloan Foundation: The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies
Author
Abowd, John M.
Schmutte, Ian M.
Vilhuber, Lars
Abstract

Goal: To study the economics of socially efficient protocols for managing research databases containing private information. Metrics

  1. At least four peer-reviewed articles that are published in journals read by economists, statisticians, and other social scientists.
  2. A library of socially efficient algorithms that other researchers can readily implement
  3. A policy handbook or brief to inform key statistical agencies on managing the tradeoffs between enabling data access and maintaining privacy
  4. At least one graduate equipped with unique research and computational skills.
Description
Final and Cumulative Annual Report, finalized May 2019
Sponsorship
Alfred P. Sloan Foundation Grant G-2015-13903
Date Issued
2019-05
Keywords
research databases
•
privacy
•
confidentiality
Rights
Attribution-NonCommercial-ShareAlike 4.0 International
Rights URI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Type
report

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance