National Science Foundation Awards Grant to Run the NSF-Census Research Network Coordination Office

The National Science Foundation (NSF) awarded NISS and Cornell University a grant for over $700,000 to run the NSF-Census Research Network Coordination Office (NCRN-CO). The NSF-Census Research Network (NCRN) 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/Ohio State University, the University of Nebraska and Northwestern University.
The NCRN-CO will be led by NISS and Cornell University. It will foster communication and collaboration among the nodes of the NCRN and will focus the network’s relationships with many external stakeholders including federal statistical agencies, researchers in academia and the private sector, professional associations, international bodies and the press and public. The NCRN-CO will organize semi-annual meetings and will facilitate information sharing within the NCRN. It will coordinate educational activities at NCRN nodes and conduct workshops and seminars that disseminate the research products of the NCRN. NCRN-CO will also maintain a website that communicates the activities and research happening at the various nodes.
“NCRN-CO will help the NCRN nodes to leverage each other’s research achievements and will help to lead to scientific and societal impact that exceed the sum of the individual impacts,” remarked Alan Karr, director of NISS and principal investigator on the NCRN-CO award.
NCRN-CO will have a newsletter, an annual report, research briefs, news releases, special sessions at professional society meetings and special issues of leading research journals. The postdoctoral fellows and graduate students who work with the network will be great assets to future official statistics organizations.
More information will be shared on the website: in the future.