Event Calendar

Dec
2
Wed
2015
Vilhuber presents at FCSM 2015: Crowdsourcing Codebook Enhancements: A DDI-based Approach @ Federal Committee on Statistical Methodology (FCSM) 2015 Research Conference
Dec 2 @ 08:30 – 10:15
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“Crowdsourcing Codebook Enhancements: A DDI-based Approach”
Benjamin Perry (Cornell University), Venkata Kambhampaty (Cornell University), Kyle Brumsted (McGill University), Lars Vilhuber (Cornell University), William Block (Cornell University)

Dec
3
Thu
2015
FCSM 2015: “Formal Privacy Protection for Data Products Combining Individual and Employer Frames” @ Federal Committee on Statistical Methodology (FCSM) 2015 Research Conference
Dec 3 @ 10:30 – 12:15
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“Formal Privacy Protection for Data Products Combining Individual and Employer Frames”, Ashwin Machanavajjhala (Duke University), Samuel Haney (Duke University), Matthew Graham (U.S. Census Bureau), Mark Kutzbach (U.S. Census Bureau), Lars Vilhuber (Cornell University and U.S. Census Bureau), John Abowd (Cornell University and U.S. Census Bureau)

Jul
31
Sun
2016
JSM Session: Employer List Linking: Methods, Implementation, and Usage of Probabilistic Matches for Enhancing Workforce Statistics @ McCormick Conference Center
Jul 31 @ 14:00 – 15:30
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Lars Vilhuber chairs session at JSM which includes multiple papers with NCRN contribution (presenter bolded, NCRN participants in red italics):

2:05 PM
Robustness of Employer List Linking to Methodological Variation — Mark J. Kutzbach, U.S. Census Bureau ; Graton Gathright, U.S. Census Bureau ; Andrew Green, U.S. Census Bureau/Cornell University ; Kristin McCue, U.S. Census Bureau ; Holly Monti, U.S. Census Bureau ; Ann Rodgers, University of Michigan ; Lars Vilhuber, Cornell University ; Nada Wasi, University of Michigan ; Christopher Wignall, Amazon.com

2:25 PM
Two Perspectives on Commuting and Workplace: A Microdata Comparison of Home-to-Work Flows Across Linked Survey and Administrative Files— Andrew Green, Cornell University/U.S. Census Bureau ; Mark J. Kutzbach, U.S. Census Bureau ; Lars Vilhuber, Cornell University

2:45 PM
Developing Job Linkages for the Health and Retirement Study — Kristin McCue, U.S. Census Bureau ; John M. Abowd, U.S. Census Bureau/Cornell University ; Margaret Levenstein, University of Michigan ; Matthew Shapiro, University of Michigan ; Ann Rodgers, University of Michigan ; Nada Wasi, University of Michigan ; Dhiren Patki, University of Michigan

Aug
1
Mon
2016
JSM Session: Advances in Statistical Methods for Dissemination and Analysis of Official Statistics @ McCormick Conference Center
Aug 1 @ 14:00 – 15:50
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John M. Abowd (former NCRN-Cornell PI) and other NCRN PIs present:

2:05 PM
An Integrated Approach to Providing Access to Confidential Social Science Data — Jerome Reiter, Duke University

2:30 PM
The Challenge of Reproducible Science and Privacy Protection for Statistical Agencies — John M. Abowd, U.S. Census Bureau/Cornell University

2:55 PM
Spatio-Temporal Change of Support with Application to American Community Survey Multi-Year Period Estimates — Scott H. Holan, University of Missouri ; Jonathan R. Bradley, University of Missouri ; Christopher Wikle, University of Missouri

JSM Session: Statistical Foundations of Data Privacy @ McCormick Conference Center
Aug 1 @ 14:00 – 15:50
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Lars Vilhuber chairs a session organized by the Committee on Privacy and Confidentiality and Aleksandra Slavkovic, Penn State University:

2:05 PM
Connections Between Privacy Definitions and Arbitrage-Free Pricing Functions — Daniel Kifer, Penn State University

2:25 PM
Differentially Private Statistical Inference and Hypothesis Testing — Vishesh Karwa, Carnegie Mellon University

2:45 PM
Learning with Differential Privacy: Stability, Learnability, and the Sufficiency and Necessity of ERM Principle — Yu-Xiang Wang, Carnegie Mellon University ; Jing Lei, Carnegie Mellon University ; Stephen E. Fienberg, Carnegie Mellon University

3:05 PM
Performance Bounds for Graphical Record Linkage: Can record linkage bounds provide guidance for private synthetic data release? — Rebecca Steorts, Duke University ; Matt Barnes, Carnegie Mellon University ; Willie Neisweigner, Carnegie Mellon University

3:25 PM
Discussant: Adam Smith, Penn State University