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Computational
Ecology Research Group
Computational Ecology
The computational ecology research
group is concerned with the
advancement of scientific processes and research of new techniques to model environmental
processes. We focus on modeling scientific information in the fields of hydrology and ecological landscapes. An
on-going collaboration between the Department of Land Resources and
Environmental Sciences and the Computer Science Department is exploring
new challenging techniques and algorithms to model and represent
complex ecosystem processes such as nitrogen cycling in streams. Many opportunities exist for ecologists and computer scientists. In particular, we are interested in: - Visualization techniques of complex, multi-dimensional flow networks
- Dependency tracking algorithms
- Efficient multi-threading models
- Multi-scale representation of ecological data
Research Article in the Exponent
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