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VERSION:2.0
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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-5060
DTSTART:20190312T170500Z
DTEND:20190312T180000Z
DTSTAMP:20260417T080648Z
LAST-MODIFIED:20190305T012548Z
LOCATION:4274 Chamberlin (refreshments will be served)
SUMMARY:Big data ecology: Advancing the study of the natural world thr
 ough citizen science\, Chaos & Complex Systems Seminar\, Ben Zuckerber
 g\, UW Department of Forest and Wildlife Ecology
DESCRIPTION:For more than a hundred years\, ecology relied on carefull
 y planned field studies focusing on a few species for a few years on a
  few parcels of land. These studies advanced numerous theories on how 
 species interact with their environment\, but the early 21st century u
 shered in a new era in the use of "big data" in ecology. Big data broa
 dly describes large complex datasets arising from advancements in info
 rmation technology and data acquisition. For ecologists\, the most imp
 ortant stream of big data comes from citizen science programs that enl
 ist the public in collecting observations of the natural world. Citize
 n scientists\, equipped with both old tools (binoculars) and new techn
 ologies (smartphones)\, regularly collect data on where species occur 
 across the world and are essential for documenting the ecological impa
 cts of environmental change. I will present our recent work on the use
  of citizen science for studying impacts of urbanization and climate c
 hange on bird communities\, and discuss the successes and challenges o
 f big data ecology. <br>
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URL:https://www.physics.wisc.edu/events/?id=5060
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