Statistical and Applied Mathematical Sciences Institute, a National Science Foundation mathematical institute

Research

2011-12 Program on Uncertainty Quantification

Mathematical models intended for computational simulation of complex real-world processes are a crucial ingredient in virtually every field of science, engineering, medicine, and business. Two related but independent phenomena have led to the near-ubiquity of models: the remarkable growth in computing power and the matching gains in algorithmic speed and accuracy. Together, these factors have vastly increased the applicability and reliability of simulation - not only by drastically reducing simulation time, thus permitting solution of larger and larger problems, but also by allowing simulation of previously intractable problems.

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Education and Outreach

2011-12 Education and Outreach Program

SAMSI annually conducts a national Education and Outreach Program for undergraduate and graduate students interested in statistics and applied mathematics and their application in the disciplinary sciences.

During the 2011-12 academic year, students have various opportunities to participate.

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Partnership Information

SAMSI is a partnership of Duke University, North Carolina State University, the University of North Carolina at Chapel Hill, and the National Institute of Statistical Sciences, in collaboration with the William R. Kenan, Jr. Institute for Engineering, Technology and Science.

SAMSI is part of the Mathematical Sciences Institutes program of the Division of Mathematical Sciences at the National Science Foundation.

SAMSI is also a partner in VI-MSS, an initiative among two U.S. institutes and five institutes in India to foster research exchanges between the two countries.

 

Highlights

2012-13 Program on Data-Driven Decisions in Healthcare

The program will focus on issues of mathematical and statistical theory and methodology that must be addressed to improve evidence-based healthcare decision-making. It will be diverse in terms of science and participants.

2012-13 Program on Statistical and Computational Methodology for Massive Datasets

This year-long SAMSI program focuses on fundamental methodological questions of statistics, mathematics and computer science posed by massive datasets, with applications to astronomy, high energy physics, and the environment.

Summer Program June 25-29, 2012: Nonlocal Continuum Models for Diffusion, Mechanics, and Other Applications

NOTE REVISED DATE: June 25-29, 2012

For the mathematical, statistical, computational, scientific, and engineering communities.

Videos Now Available

SAMSI video taped the tutorials from both the Analysis of Object Data and the Complex Networks opening workshops. You can see the list of all the videos here.