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Annual Report 2008.pdf - SAMSI

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F. Evaluation by the <strong>SAMSI</strong> Governing Board - 2008<br />

(Bruce Carney, George Casella, Thomas Manteuffel, Vijay Nair, John<br />

Simon, Daniel Solomon – Chair)<br />

The Governing Board provides broad oversight for the Institute’s administration,<br />

finances, and evaluation, and for relationships among the partnering institutions. As part<br />

of the annual evaluation, the Governing Board has elected to address four broad<br />

questions. That evaluation follows:<br />

1) What are some outcomes of the synthesis of applied mathematics and statistics?<br />

<strong>SAMSI</strong> continues to foster interaction between applied mathematics and statistics<br />

through the creation of programs focused on topics that involve both disciplines.<br />

Working groups established under these programs build teams of researchers consisting<br />

of applied mathematicians and statisticians as well as other areas of the mathematical<br />

sciences. The results of these efforts lie not only in the production of many papers and<br />

reports, but also in the continued interaction among members of the teams after the<br />

formal program is completed, and, most importantly, in the culture of multidisciplinary<br />

interaction it has established.<br />

A clear example of the interaction between statisticians and mathematicians who would<br />

not normally interact, occurred during the program on Development, Assessment and<br />

Utilization of Complex Computer Models. Virtually all of the eleven working groups in<br />

the program involved collaboration among statisticians, applied mathematicians and<br />

disciplinary scientists. Here are some of the highlights.<br />

The working group on Granular Materials – Engineering Applications, while led by<br />

applied mathematicians, also included numerous statisticians, probabilists, and<br />

volcanologists. The group tackled the problem of quantifying risk from extreme natural<br />

geophysical disasters, such as pyroclastic volcanic avalanches. It developed a unique<br />

methodology for assessing such risks, through a combination of mathematical computer<br />

modeling, probability modeling, statistical analysis, and volcanology.<br />

The <strong>SAMSI</strong> researchers overcame many obstacles to the use of computer models in risk<br />

assessment by an ingenious use of a type of approximation to the computer model called<br />

an emulator, which could approximate the maximum height of flow at a key location. The<br />

emulator is used to estimate the critical region defining dangerous flows, and additional<br />

computer model runs in this region refine the emulator. The critical flow region can be<br />

characterized and the probability of catastrophic damage can be assessed.<br />

Activity of this working group continued after the program, and the principal participants<br />

(applied mathematicians, statisticians, probabilists and volcanologists) were just awarded<br />

a three-year grant to continue the research.<br />

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