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Seminar-Computational Sustainability:Algorithms for Ecology and Conservation

(SPIRE title: S-Computational Sustainability)
CMPSCI
691SU
Section: 
01
Credits: 
3
Meets: 
W
Spring 2014

Ecosystems across the globe under threat. Defining good conservation policies is difficult because many aspects of ecosystems and our impacts on them are poorly understood. However, new data resources are emerging that can help us understand and manage ecosystems more effecitively, if we can develop the algorithms to understand and use this data well. For example, some algorithmic problems in ecology include: where to place sensors, how to fit models of complex ecological such as bird migration from noisy and incomplete data, and where to place wildlife reserves or corridors to maximize the benefits to threatened species. In this seminar, students will read and discuss recent papers at the intersection of CS and ecology, with a focus on novel work in machine learning, AI, and discrete optimization. The instructor will also present open problems, data resources, and research ideas.

Open to CMPSCI graduate students only.
Instructor: 
SPIRE Class Number: 
58385

Complete and up to date class details, meeting times, and textbook information, if available, may be found by searching for this class in SPIRE. At the SPIRE website, select the term of the class (e.g. 'Fall 2012') and enter the 5-digit class number shown above (e.g. '12345'). If the class is not open for enrollment, you may need to specify other search criteria.