NSF Census Research Network
The NSF-Census Research Network currently consists of eight nodes, each comprised of researchers conducting innovative, high-disciplinary investigations of theory, methodology and computational tools of interest and significance to the Census Bureau, the federal statistics system and the broader research community.
The eight nodes include Carnegie Mellon University, the University of Colorado at Boulder/University of Tennessee, Cornell University, Duke University/ National Institute of Statistical Sciences (NISS), the University of Michigan, the University of Missouri, the University of Nebraska and Northwestern University.
For more information, consult www.ncrn.info and http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503587
Collections in this community
Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System? (2018-04-26)The National Science Foundation-Census Bureau Research Network (NCRN) was established in 2011 to create interdisciplinary research nodes on methodological questions of interest and significance to the broader research ...
(2016-09-30)On Friday, May 20 and Saturday, May 21, 2016, the Spatio-Temporal StatisticsNSF Census Research Network (STSN) at the University of Missouri hosted a workshop on spatial and spatio-temporal design and analysis for official ...
(Springer, 2013)Recording provenance is a key requirement for data-centric scholarship, allowing researchers to evaluate the integrity of source data sets and re- produce, and thereby, validate results. Provenance has become even more ...
(2017-04-25)An introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Presentation given at the ...