Case Study


With environmental statistics becoming more visible in the news, it has become more politicized, which makes it harder for the public to both understand and interpret all the different results that are being published. NISS provided a multi-disciplinary team that would act as a non-biased, third party analyzing the data to help the U.S. Environmental Protection Agency with its complex datasets and models.

Research Project

Integrity, Independence and Innovation:  The Future of NCES report

The National Center for Education Statistics (NCES) charged this Expert Panel to review NCES progress and changes over the decades since the National Academy of Sciences (NAS) issued its report on NCES, “Creating a center for education statistics: A time for action,” in 1986, and to consider challenges and priorities for the future. The National Institute of Statistical Sciences (NISS) assembled a panel consisting of academic, government, and private-sector experts from the fields of statistics and of education. Panelists were chosen because of their experience as both users and providers of education data, and their understanding of federal statistical operations, purposes, policies, and constraints. The Expert Panel drew on materials assembled from public sources, including federal directives, NCES documentation, presentations by NCES administrators and senior staff, and summaries of interviews NISS conducted with NCES personnel from the level of team leader to Commissioner. 

Moderator: Ya Su (University of Kentucky) Speakers: (left to right) Ming Li (Amazon), Subho Majumdar (AT&T Labs), Theodore Lystig (Medtronic), and Bonnie Ghosh-Dastidar (RAND Statistics Group).
On February 19, 2020 NISS hosted a “Third Industry Career Fair”.  This time the senior statisticians were gathered from Amazon (Ming Li (second from left), Research Scientist), AT&T (Subho Majumdar, Senior Inventive Scientist, Data Science & AI Research), Medtronic (Theodore Lystig, Senior... more
Phil Kott publishes book entitled: Better Coverage Intervals for Estimators from a Complex Sample Survey
Phil Kott, long time active NISS affiliate member has just had the book Better Coverage Intervals for Estimators from a Complex Sample Survey published through RTI Press.   Congratulations Phil!   This book extends his ideas about coverage (confidence) intervals for estimated proportions based on... more
From left to right, Matthias Schonlau (NISS postdoc 1997-1999), Xingdong Feng (NISS Postdoc 2009-2011), George Luta (NISS Postdoc  2006-2009), and Yingchun (Jasmine) Zhou (NISS Postdoc 2007-2009).
A postdoctoral appointment gives you the opportunity to build a solid foundation and it also gives you a chance to explore, listen and learn. All of this involves hard work but the experience is worth it say former NISS postdocs.  Here are the comments from a few whose career started out at at NISS... more
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The National Center for Education Statistics (NCES) is the primary federal entity for collecting and analyzing data related to...