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SUMMARY:Using Machine Learning to Improve Protected Area Management - Char
 les Emogor\, University of Cambridge
DTSTART:20241122T130000Z
DTEND:20241122T135500Z
UID:TALK213106@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:*Abstract* \n\nThis is my introductory talk to EEG\, split int
 o two parts. In the first part\, I’ll share insights from my PhD researc
 h on pangolin exploitation and illegal hunting. The second part will focus
  on my current work\, which explores strategies for crime prevention in pr
 otected areas.\n\nRanger patrols are a critical element of threat manageme
 nt in these areas\, yet the resources available to rangers are often insuf
 ficient for achieving optimal protection. My current research seeks to enh
 ance patrol effectiveness by analyzing spatial\, long-term data from range
 rs across eight protected areas\, alongside spatial data on hunter behavio
 r around these areas.\n\nDuring my talk\, I’ll outline my analytical pla
 ns\, and I would value your feedback on machine learning-based approaches.
  Developing machine learning expertise is one of my key goals during this 
 fellowship\, and I’m keen to explore how these\ntechniques can advance t
 his research.\n\n*Bio*\n\nCharles is a 2021 National Geographic Explorer a
 nd "2024 Schmidt Science Fellow":https://schmidtsciencefellows.org/ at the
  Department of Computer Science and Technology (University of Cambridge) a
 nd John A. Paulson School of Engineering and Applied Sciences (Harvard Uni
 versity). His postdoctoral research focuses on crime prevention in nationa
 l parks\, leveraging machine learning and spatial data on poaching gathere
 d by rangers to enhance the effectiveness of ranger patrols. Charles has a
  background in biodiversity conservation. He recently completed a PhD in Z
 oology from the University of Cambridge (funded by Gates Cambridge Trust) 
 on the dynamics of threats to pangolins.
LOCATION:FW11\, William Gates Building. Zoom link: https://cl-cam-ac-uk.zo
 om.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;from=addon 
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