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CATEGORIES:AI4ER Seminar Series
SUMMARY:How can data science help us do better environment
 al science?  - Paul Young\, Lancaster University
DTSTART;TZID=Europe/London:20200526T110000
DTEND;TZID=Europe/London:20200526T123000
UID:TALK142132AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/142132
DESCRIPTION:I have long been frustrated with the run-of-the-mi
 ll data analyses we tend to go through in the “mai
 nstream” of atmospheric or climate science. Many c
 ommon approaches do not exploit our measurements o
 r modelling tools fully\, which means we could be 
 missing out on insights\, over or under-estimating
  uncertainty\, and potentially be damaging our cre
 dibility. To try and do better\, I’ve sought colla
 borations with statisticians and computer scientis
 ts over the last few years…although the real work 
 is now mostly done by students and postdocs! \n\nI
 n this talk\, I will give a flavour of the varied 
 environmental problems we are addressing and data 
 science methods we are using\, drawing on the work
  within the Data Science of the Natural Environmen
 t (DSNE) project and our new Centre of Excellence 
 for Environmental Data Science (CEEDS)\, both join
 t initiatives between Lancaster University and the
  UK Centre for Ecology and Hydrology. I will also 
 reflect on what I’ve learned about working on inte
 rdisciplinary and transdisciplinary projects\, inc
 luding with critical social sciences\, humanities 
 and large businesses\n
LOCATION:https://ukri.zoom.us/j/92946956029
CONTACT:Jonathan Rosser
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