August 4, 2009 Washington, DC: James Landwehr, chair of the Board of Trustees for the National Institute of Statistical Sciences (NISS) announces that Ramanathan Gnanadesikan, retired statistician, is recipient of the 2009 Jerome Sacks Award for Cross-Disciplinary Research. The award was presented to Gnanadesikan at a NISS reception held August 3 at the Joint Statistical Meetings (JSM) in Washington, DC.
The National Institute of Statistical Sciences (NISS), an independent research institute through which the statistics community serves the nation, is pleased to announce a major redesign and improvement of its website, www.niss.org.
May 4, 2009, Research Triangle Park, NC -Three teams of researchers from the National Institute of Statistical Sciences (NISS) and the National Agricultural Statistics Services (NASS), together with academic faculty and graduate students from five universities will convene at NISS in Research Triangle Park on June 1-2 to kick off the two-year NISS-NASS research program. The Opening Workshop is open to statistical professionals, students and other interested researchers. The theme of the workshop is Open Research
April 30, 2009, Research Triangle Park, NC - The National Institute of Statistical Sciences (NISS), a research institute created by the national statistical sciences community, has appointed six new postdoctoral fellows. The fellows will participate in several new research programs at NISS.
"Our research has expanded into several additional areas this year. We are happy to be able to hire some of the best and brightest people coming out of the university system," commented Alan Karr, director of NISS.
April 28, Research Triangle Park, NC - Jian (Frank) Zou from the University of Connecticut will begin work as a postdoctoral fellow at the National Institute of Statistical Sciences (NISS) beginning in July. NISS is a non-profit institution created by the statistical professional societies with support from a combination of North Carolina universities to identify, catalyze and foster high-impact, cross- disciplinary and cross-sector research involving the statistical sciences.