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CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20170412T135330
SUMMARY:IGS British Branch 2017, ECR Training Event: Environmental Data Science for Polar Scientists
LOCATION:Lancaster Post-graduate Statistics Centre
DESCRIPTION:Lancaster Data Science Institute are hosting a one-day training course on T
 uesday September 5th in conjunction with the International Glaciological So
 ciety British Branch 2017 meeting. Quantitative analysis relies on numerica
 l methods, however methodological developments in the ‘data sciences’ (e.g.
  maths/computing) are not often brought directly into polar research. This 
 training event aims to encourage the adoption of cutting-edge data science 
 methods by polar researchers. The day will provide an overview of statistic
 al and computational methods which can be employed by polar scientists and 
 will deliver in-depth practical sessions on the application of changepoint 
 analysis and extreme value theory to polar data. There will also be an oppo
 rtunity to develop ideas around the application of data science techniques 
 to your own data with feedback given by Lancaster's experts in Environmenta
 l Data Science. The course also offers the opportunity to develop skills in
  analysis using R, and working in a cloud-based environment, through the pr
 actical components of the course.\nThe workshop will be held from 09:00 – 1
 7:45 on Tuesday 5th September in Lancaster Post-graduate Statistics Centre.
  Note that this is the day preceding the British Branch 2017 meeting.\nRegi
 stration is free via the eventbrite link below, but places are limited; pri
 ority will be given to PhD students but other early career researchers are 
 encouraged to apply. For those arriving the day before (Monday 4th Septembe
 r), on-campus en-suite B and B accommodation has been reserved at a cost of
  £38.50 per night.\nPrior knowledge of R is not required, but attendees sho
 uld have a basic statistical awareness, for example an understanding of lin
 ear regression and the concept of a probability distribution. If you have a
 ny questions please contact Amber on This email address is being protected 
 from spambots. You need JavaScript enabled to view it.
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		.\nEventbrite link to register for the course: https://www.eventb
 rite.co.uk/e/ecr-training-event-environmental-data-science-for-polar-scient
 ists-tickets-32822960358\nIGS British Branch 2017 local website (registrati
 on and abstract submission is now open!): <a href="http://wp.lancs.ac.uk/ig
 s-bb/">http://wp.lancs.ac.uk/igs-bb/</a> \n
X-ALT-DESC;FMTTYPE=text/html:<p>Lancaster Data Science Institute are hosting a <strong>one-day training 
 course</strong> on <strong>Tuesday September 5th</strong> in conjunction wi
 th the International Glaciological Society British Branch 2017 meeting. Qua
 ntitative analysis relies on numerical methods, however methodological deve
 lopments in the ‘data sciences’ (e.g. maths/computing) are not often brough
 t directly into polar research. This training event aims to encourage the a
 doption of cutting-edge data science methods by polar researchers. The day 
 will provide an overview of statistical and computational methods which can
  be employed by polar scientists and will deliver in-depth practical sessio
 ns on the application of changepoint analysis and extreme value theory to p
 olar data. There will also be an opportunity to develop ideas around the ap
 plication of data science techniques to your own data with feedback given b
 y Lancaster's experts in Environmental Data Science. The course also offers
  the opportunity to develop skills in analysis using R, and working in a cl
 oud-based environment, through the practical components of the course.</p><
 p><strong>The workshop will be held from 09:00 – 17:45 on Tuesday 5th Septe
 mber in Lancaster Post-graduate Statistics Centre</strong>. Note that this 
 is the day preceding the British Branch 2017 meeting.</p><p><strong>Registr
 ation is free via the eventbrite link below, but places are limited</strong
 >; priority will be given to PhD students but other early career researcher
 s are encouraged to apply. For those arriving the day before (Monday 4th Se
 ptember), on-campus en-suite B and B accommodation has been reserved at a c
 ost of £38.50 per night.</p><p>Prior knowledge of R is not required, but at
 tendees should have a basic statistical awareness, for example an understan
 ding of linear regression and the concept of a probability distribution. If
  you have any questions please contact Amber on <span id="cloak933ff0fc3f8d
 7db5b62ee92e4f061a5c">This email address is being protected from spambots. 
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 ink to register for the course:</strong> <a href="https://www.eventbrite.co
 .uk/e/ecr-training-event-environmental-data-science-for-polar-scientists-ti
 ckets-32822960358">https://www.eventbrite.co.uk/e/ecr-training-event-enviro
 nmental-data-science-for-polar-scientists-tickets-32822960358</a><br />IGS 
 British Branch 2017 local website (r<em>egistration and abstract submission
  is now open!</em>): <a href="http://wp.lancs.ac.uk/igs-bb/">http://wp.lanc
 s.ac.uk/igs-bb/</a> </p>
CONTACT:This email address is being protected from spambots. You need JavaScript enabled to view it.
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DTSTAMP:20260420T131453Z
DTSTART;TZID=UTC:20170905T090000
DTEND;TZID=UTC:20170905T174500
SEQUENCE:0
TRANSP:OPAQUE
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