| Sponsors:
National Science Foundation
http://www.nsf.gov/
Department of Energy
Interdisciplinary Center for the Study of Biocomplexity, University of Notre Dame
http://www.nd.edu/~icsb/
Los Alamos National laboratory, Theoretical Division
http://www.lanl.gov
Indiana 21st Century Research and Technology Fund
http://www.21fund.org
Biocomplexity Institute, Indiana University, Bloomington
http://www.biocomplexity.indiana.edu/
Graduate School, University of Notre Dame
http://graduateschool.nd.edu
Department of Mathematics, University of Notre Dame
http://www.math.nd.edu
Department of Physics, University of Notre Dame
http://physics.nd.edu
Center for Applied Mathematics, University of Notre Dame
http://www.nd.edu/~cam
This workshop is organized in cooperation with SIAM (Society
for Industrial and Applied Mathematics).
Organizers:
Mark Alber (Notre Dame), alber.1@nd.edu;
Albert-Laszlo Barabasi (Notre Dame), alb@nd.edu;
Holly Goodson (Notre Dame), holly.v.goodson.1@nd.edu;
Yi Jiang (Los Alamos),
jiang@lanl.gov;
James Glazier (IU Bloomington), glazier@indiana.edu
Goals
of the Workshop:
Discussion of different applications of methods of stochastic analysis
and statistical physics for studying biological systems and stimulation
of new interdisciplinary collaborations. Some of the specific topics
to be covered include pattern formation in development, aggregation
in bacteria colonies, protein folding, regulation of gene expression,
immunology, cytoskeleton, biological networks, and genetic drift.
Participants
will be invited to contribute to the special Issue of the Journal of
Statistical Physics (JSP):
http://www.kluweronline.com/issn/0022-4715
All papers will be refereed in accordance with the JSP policies.
Limited funding may be available to support attendance by graduate students,
postdocs and junior faculty. Poster presentations are encouraged and
a limited number of contributed talks will also be accepted.
For
more information contact:
Lisa Tranberg- icsb@nd.edu
Dr. Mark Alber - malber@nd.edu
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