Event Calendar

Dec
1
Tue
2015
FCSM 2015: Two Perspectives on Commuting and Workplace: A Microdata Comparison of Home to Work Flows Across Linked Survey and Administrative Files @ Federal Committee on Statistical Methodology (FCSM) 2015 Research Conference
Dec 1 @ 15:15 – 17:00
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“Two Perspectives on Commuting and Workplace: A Microdata Comparison of Home to Work Flows Across Linked Survey and Administrative Files,” Andrew Green (U.S. Census Bureau, Cornell University), Mark Kutzbach (U.S. Census Bureau), Lars Vilhuber (U.S. Census Bureau, Cornell University)

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)

May
10
Tue
2016
Vilhuber presents on Crowdsourcing Codebook Development and Enhancements in CED²AR @ U.S. Census Bureau
May 10 @ 11:30 – 12:00
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Benjamin Perry, Venkata Kambhampaty, Kyle Brumsted, Lars Vilhuber, & William C. Block: “Crowdsourcing Codebook Development and Enhancements in CED²AR”
Abstract: Recent years have shown the power of user­sourced information evidenced by the success of Wikipedia and its many emulators. This sort of unstructured discussion is currently not feasible as a part of the otherwise successful metadata repositories. Creating and augmenting metadata is a labor­intensive endeavor. Harnessing collective knowledge from actual data users can supplement officially generated metadata. As part of our Comprehensive Extensible Data Documentation and Access Repository (CED²AR) infrastructure, we demonstrate a prototype of crowdsourced DDI on actual codebooks. While the system itself is more general, the demonstrated implementation relies on a set of linked deployments of the basic software on web servers. The backend transparently handles changes, and frontend has the ability to separate official edits (by designated curators of the data and the metadata) from crowd­sourced content. The implementation allows a data curator, such as a statistical agency, to collect and incorporate improvements suggested by knowledgeable users in a structured way.
Available: https://ecommons.cornell.edu/handle/1813/43887
Tickets: https://www.eventbrite.com/e/ncrn-meeting-spring-2016-public-events-tickets-22247855936?ref=ecount.

Apr
6
Thu
2017
Presentation at NADDI 2017 @ ILR Conference Center
Apr 6 – Apr 7 all-day
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The Cornell NCRN node presents results from the past 5 years on CED²AR, their metadata editor and presentation tool.
 
Conference website: http://naddiconf.org/2017/