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Jordi
Bascompte, Estacio Biologica de Donana, Spain,
Jordi Bascompte is an Associate Professor of Research at the Doñana Biological Station, a center of the Spanish Research Council. His major research interests are the role of space in population and community dynamics, and networks of ecological interactions. His goal is twofold: to describe the structure of these networks and to relate this structure to community stability and coevolution. After receiving his Ph.D. from the University of Barcelona, Spain, he become a postdoctoral fellow at the University of California, Irvine (1996 and 1997), and at the National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara (1998 and 1999). In 2004 he was awarded with a European Young Investigator (EYRYI) Award. He is in the Board of Editors of several journals including Ecology Letters, and Conservation Biology, and is a Faculty Member of Faculty of 1000 Biology. He is coauthor of the books Modeling Spatiotemporal Dynamics in Ecology (Springer-Verlag) and Self-Organization in Complex Ecosystems (Princeton University Press).
Anton
Betten, Colorado
State University,
Dr. Anton Betten is an assistant professor of mathematics at Colorado State University. His research area is Combinatorics, in particular the constructive theory of discrete structures. Dr. Betten is mainly interested in discrete objects like codes, designs, or finite geometries. After receiving his Ph.D. from Bayreuth University in Bayreuth, Germany, under the supervision of Prof A. Kerber and Prof. R. Laue, he spent one year at the University of Western Australia working with Cheryl Praeger on a class of designs. Dr. Betten joined CSU in 2002, teaching graduate and undergraduate combinatorics, undergraduate cryptography, and coding theory. He is a member of the Institute of Combinatoricsand its Applications. Recently, Dr. Betten coauthored a book on the theory of error-correcting codes. Apart from being an introduction to the theory of linear codes, the book contains several more advanced chapters on topics which are not standard. In particular, there is a chapter on the construction of optimal linear codes.
Edwin
Chong, Colorado
State University,
Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide, South Australia; and the M.A. and Ph.D. degrees from Princeton University, where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991, where he was named a University Faculty Scholar in 1999, and was promoted to Professor in 2001. Since August 2001, he has been a Professor of Electrical and Computer Engineering and a Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the recent best-selling book, An Introduction to Optimization, 2nd Edition, Wiley-Interscience, 2001. He was on the editorial board of the IEEE Transactions on Automatic Control, and is currently an editor for Computer Networks and the Journal of Control Science and Engineering. He is a Fellow of the IEEE, and served as an IEEE Control Systems Society Distinguished Lecturer. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He was a co-recipient of the 2004 Best Paper Award for a paper in the journal Computer Networks.
Jennifer Dunne, Santa Fe Institute,
Dr. Jennifer A. Dunne co-founded and co-directs the Pacific Ecoinformatics and Computational Ecology Lab (Berkeley, CA), is in Residence as a visiting professor at the Santa Fe Institute (Santa Fe, NM), and is affiliated with the Rocky Mountain Biological Lab (Gothic, CO). She received a Ph.D. in Energy and Resources from the University of California, Berkeley, and was a U.S. National Science Foundation Postdoctoral Fellow in Biological Informatics. Dr. Dunne has a background in conducting experimental field research on how climate change and microclimate impact and interact with vegetation dynamics and soil biogeochemistry. Her current research uses computational approaches to elucidate general patterns and theory of ecosystem structure and function, focusing on networks of predator-prey interactions expressed as complex food webs. Dr. Dunne is using this ecological network framework to explore how trophic structure and dynamics interact to influence different aspects of ecosystem stability, for example the robustness of food webs to biodiversity loss. Through collaborations with archaeologists and paleobiologists, she is extending the scope of such work through deep time to explore fundamental constraints on ecological organization. Dr. Dunne and colleagues are also collaborating with computer scientists to develop new ecoinformatic technologies to facilitate more sophisticated synthesis and analysis of information related to biocomplexity research as well as more effective sharing of ecological knowledge among scientists, educators, policy-makers, students, and the public.
Ken
Frank, Michigan
State University,
Kenneth Frank received his Ph.D. in measurement, evaluation and statistical analysis from the School of Education at the University of Chicago in 1993. He is currently an associate professor in Counseling, Educational Psychology and Special Education as well as in Fisheries and Wildlife at Michigan State University. His substantive interests include the study of schools as organizations, social structures of students and teachers and school decision-making, and social capital. His substantive areas are linked to several methodological interests: social network analysis, causal inference and multi-level models. His publications include quantitative methods for representing relations among actors in a social network, robustness indices for inferences, and the effects of social capital in schools and other social contexts. He teaches general introductory courses in research methods and quantitative methods as well as advanced courses in multivariate analysis and seminars in social network analysis and causal inference.
Michelle
Girvan, University of
Maryland,
Michelle
Girvan is an assistant professor at the University of Maryland with
joint appointments in the physics department and the Institute for
Physical Sciences and Technology. She earned her Ph.D. in physics
from
Cornell University and from there went on to a postdoctoral fellowship
at the Santa Fe Institute. Girvan did her undergraduate work
at
M.I.T., majoring in physics and mathematics. Her
research focuses on
applying the methods of statistical mechanics, dynamical systems, and
graph theory to complex network problems in social and biological
systems.
David
Hunter, Pennsylvania
State University
David R. Hunter, Ph.D. is Associate
Professor of Statistics at the
Pennsylvania State University, where he has worked since receiving his
PhD in statistics in 1999 from the University of Michigan. An
expert
in statistical computing, he is currently on an NIH-funded grant based
at the University of Washington for developing new network modeling
tools. He helped design and write much of the computational core
of
the statnet package in R, publicly available software for, among other
things, simulating from and estimating parameters in exponential-family
random graph (ERG) models. Dr. Hunter has papers on ERG models
published or accepted for publication in Journal of the American
Statistical Association, Journal of Computational and Graphical
Statistics, and Social Networks.
Tim
Keitt, University of
Texas, Austin,
Tim Keitt is an Assistant Professor at the University of Texas at Austin where he teaches ecology and modeling. His research focuses on multiscale analysis of ecological patterns in space and time. A large component of this work involves aspects of environmental change and its effects on biodiversity and ecosystem services. Recent projects include a case study of socioeconomic drivers of deforestation in Madagascar, wavelet analysis of beta diversity patterns and models for species geographic range limits.
Ross
McConnell, Colorado
State University
Ross McConnell received his M.A. from
Williams College, his M.S. from the University of Denver, and his Ph.D.
from the University of Colorado at Boulder. He joined the
Colorado State faculty in 2002. Prior to that, he taught at
Amherst College and the University of Colorado at Denver.
Sarah
Perkins, Pennsylvania
State University,
Sarah Perkins is a disease ecologist, working at the Centre for Infectious Disease Dynamics (www.cidd.psu.edu) at Penn State University. Sarah uses a combination of field and lab experiments to study the dynamics of parasite community interactions in wild rodent populations. In the past Sarah has worked on social interactions in badgers, otter conservation and small mammal disease ecology. Currently, her main research focuses on identifying the role of individuals in disease dynamics; of which networks offers a promising tool.
Simon
Tavener, Colorado
State University,
Simon Tavener received B.E. and M.E. degrees in Engineering Science from the University of Auckland, New Zealand and a D. Phil in Physics from Oxford University. He then worked at the Institute for Mathematics and Its Applications at the University of Minnesota before moving to the Mathematics Department at Penn State. He joined the Colorado State faculty in 2000.
Dave
Theobald, Colorado
State University
David Theobald is a conservation
scientist
interested in understanding patterns of landscape change
and their effects on wildlife habitat and biodiversity, especially in
the Rocky Mountain west. He received his Ph.D. from the Department of
Geography, University of Colorado, Boulder, and his M.A. from
Department of Geography, University of California, Santa Barbara.
Currently David is an Associate Professor in Human Dimensions of
Natural Resources and a Research Scientist at the Natural Resource
Ecology Lab at Colorado State University.
In the past, David
has helped to develop the Colorado Natural Diversity Information
Source (NDIS), an online source
of information on wildlife, habitat, natural communities and plants
in Colorado. He also has written and lectured extensively
on landscape change in the West, including contributions to the Atlas
of the New West, Forest Fragmentation in the Central Rocky
Mountains, Rocky Mountain Futures, and the Forests on
the Edge project.
David’s current
research includes developing ways to measure landscape connectivity
as part of the Linking Colorado’s Landscape project, how land use
changes in watersheds effect freshwater ecosystems (for EPA), and the
dynamics of the wildland-urban interface.
Dean Urban has long maintained parallel interests in forest ecology and wildlife conservation, with these themes coming together in studies of forest bird communities in landscape mosaics. Dr. Urban’s lab focuses on a variety of issues dealing with scaling up--translating the rich empirical understanding of ecology at the scale of field studies to the larger scales of management and policy. A special emphasis of his lab is on finding innovative approaches to solve problems of immediate societal concern. One illustration of this approach has been Dean’s recent application of graph theory to conservation applications couched in metapopulation theory.
Haonan
Wang, Colorado
State University,
Haonan Wang is an Assistant Professor of Statistics at Colorado State University. He received his Ph.D. from the Department of Statistics at the University of North Carolina, Chapel Hill in 2003. He is currently on an EPA-funded grant for ecological thresholds and responses of stream benthic communities to heavy metals. He is also working on an NSF-funded project on Object Oriented Data Analysis studying tree-structured objects and random graphs. His other interests include functional data analysis and data mining.
| Overview | Speakers | Brief Schedule | Schedule
with Abstracts |
Registration | Travel |
For more information or corrections to web page, please contact Christian Hampson at hampson@math.colostate.edu