Call for Applications: Uncertainty Quantification for Biological Models, a NIMBioS Tutorial

[Catherine Crawley]

The National Institute for Mathematical and Biological Synthesis
(NIMBioS) is now accepting applications for its Tutorial, "Uncertainty
Quantification for Biological Models," to be held June 26-28, 2017, at
NIMBioS.

*Objectives: *This tutorial will focus on uncertainty quantification in
mathematical models in the lifesciences and will provide researchers
with the basic concepts, theory, and algorithms necessary to quantify
input and response uncertainties and to perform sensitivity analysis for
simulation models. Concepts to be covered may include: probability and
statistics, parameter selection techniques, frequentist and Bayesian
model calibration, propagation of uncertainties, quantification of model
discrepancy, adaptive surrogate model construction, high-dimensional
approximation, random sampling and sparse grids, as well as local and
global sensitivity analysis. This tutorial is intended for graduate
students, postdocs and researchers in mathematics, statistics, computer
science and biology.

*Location: *NIMBioS at the University of Tennessee, Knoxville

*Co-Organizers: *Marisa Eisenberg, School of Public Health, Univ. of
Michigan; Ben Fitzpatrick, Mathematics, Loyola Marymount Univ.; James
Hyman, Mathematics, Tulane Univ.; Ralph Smith, Mathematics, North
Carolina State Univ.; Clayton Webster, Computational and Applied
Mathematics (CAM), Oak Ridge National Laboratory; Mathematics, Univ. of
Tennessee

For more information about the tutorial and a link to the online
application form, go to http://www.nimbios.org/tutorials/uncertainty

Participation in NIMBioS tutorials is by application only. Individuals
with a strong interest in the topic are encouraged to apply, and
successful applicants will be notified within two weeks after the
application deadline. If needed, financial support for travel, meals,
and lodging is available for tutorial attendees.

*Application deadline:* March 1, 2017

The National Institute for Mathematical and Biological Synthesis
(NIMBioS) (http://www.nimbios.org) brings together researchers from
around the world to collaborate across disciplinary boundaries to
investigate solutions to basic and applied problems in the life
sciences. NIMBioS is sponsored by the National Science Foundation, with
additional support from The University of Tennessee, Knoxville.

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/***************************** /
/////Catherine Crawley, Ph.D. /
/////Communications Manager/
/////National Institute for Mathematical and Biological Synthesis
(NIMBioS) /
/////University of Tennessee /
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/////Knoxville, TN 37996/
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