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SUMMARY:How can data science help us do better environmental science?  - P
 aul Young\, Lancaster University
DTSTART:20200526T100000Z
DTEND:20200526T113000Z
UID:TALK142132@talks.cam.ac.uk
CONTACT:Jonathan Rosser
DESCRIPTION:I have long been frustrated with the run-of-the-mill data anal
 yses we tend to go through in the “mainstream” of atmospheric or clima
 te science. Many common approaches do not exploit our measurements or mode
 lling tools fully\, which means we could be missing out on insights\, over
  or under-estimating uncertainty\, and potentially be damaging our credibi
 lity. To try and do better\, I’ve sought collaborations with statisticia
 ns and computer scientists over the last few years…although the real wor
 k is now mostly done by students and postdocs! \n\nIn this talk\, I will g
 ive a flavour of the varied environmental problems we are addressing and d
 ata science methods we are using\, drawing on the work within the Data Sci
 ence of the Natural Environment (DSNE) project and our new Centre of Excel
 lence for Environmental Data Science (CEEDS)\, both joint initiatives betw
 een Lancaster University and the UK Centre for Ecology and Hydrology. I wi
 ll also reflect on what I’ve learned about working on interdisciplinary 
 and transdisciplinary projects\, including with critical social sciences\,
  humanities and large businesses\n
LOCATION:https://ukri.zoom.us/j/92946956029
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