A two-and-a-half day workshop, held at the Bureau of Labor Statistics in Washington, DC, that will involve roughly 12-15 invited talks along with formal panel discussions, a poster session, and time available for informal collaboration-building discussions.
The workshop is part of SAMSI's 2013-14 program on Computational Methods in Social Sciences (CMSS). For many years, practical work with censuses and surveys has involved complex methodological issues. Standard approaches have addressed some of these issues in a reasonably comprehensive form, while leaving other issues with unsatisfactory or incomplete solutions. In addition, large-scale statistical organizations are now encountering important new methodological opportunities and challenges arising from prospective new data sources; and from changes in salient features of the data–collection environment, resource constraints and cost structures. Addressing these issues requires modern statistical methodology and novel computational approaches.
This workshop, in conjunction with other CMSS activities, will bring together researchers and practitioners from academia, statistical agencies, and survey organizations to discuss recent research advances and needs related to the abovementioned challenges and opportunities.
People presenting include: Jared Murray, Duke University; Hang Joon Kim, NISS and Duke University; Scott Holan, University of Missouri; Tracy Schifeling, Duke University; Beka Steorts, Carnegie Mellon University; and Mauricio Sandinle, Carnegie Mellon University.
To to the website here to register for this event.