Statistical and Applied Mathematical Sciences Institute, a National Science Foundation mathematical institute
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 2010-11 academic year, students have various opportunities to participate.
The 12-month SAMSI program will focus on the analysis of complex data types that are an extension of Functional Data Analysis where one considers methods to analyze data samples of complex objects. Modern science is generating a need to understand, and statistically analyze, populations of increasingly complex types. The term "Analysis of Object Data" (AOD) is aimed at encompassing a broad array of such methods. The proposed SAMSI program seeks to bring together a diverse group of researchers (from statistics, other parts of mathematics, and related sciences) to explore the common structure that underlies such methodologies, and to use this knowledge in turn to motivate and synthesize new approaches.
This year-long SAMSI program focuses on the emerging area of network science. This highly interdisciplinary field is characterized by novel interactions in the mathematical sciences occurring at the interface of applied mathematics, statistics, computer science, and statistical physics, as well as those areas with network-oriented thrusts in biology, computer networks, engineering, and the social sciences.
Events
Highlights
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.
More Information
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