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      Cylita Guy, Machine Learning for Prioritization in Conservation and Disease Surveillance in Toronto


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      October 23, 2019

      Wednesday   4:00 PM

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      Cylita Guy, Machine Learning for Prioritization in Conservation and Disease Surveillance

      Machine Learning for Prioritization in Conservationand Disease Surveillance  In recent years, biologists have come up with a number of innovativeapplications for machine learning and computationally intensiveapproaches in ecology, evolution, and conservation. Often thesemethods are leveraged because they allow ecologists to capitalise onincomplete datasets in systems where the processes generating observedpatterns are unknown. Further, because of their predictive naturethese algorithms have proved useful for helping us to direct limitedresources to the areas of greatest need. In this talk I will discusstwo cases where I have applied machine learning in my researchprogram. The first – dealing with predicting suitable habitat forNeotropical primates – will highlight how machine learning can be usedfor targeted conservation. The second – predicting which bat speciesmay be future carriers of diseases capable of infecting humans – willtouch on how these approaches can aid global sampling efforts underthe One Health paradigm. Finally, I will finish with a discussion onthe importance of communicating these results effectively to managersand the public, and the implications. Cylita GuyUniversity of TorontoEcology & Evolutionary Biology 04:00 PM - 05:30 PMCentre for Ethics, University of Toronto200 Larkin

      Categories: Politics & Activism | Science

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