[Forum SIS] short courses at the TIES conference in Edinburgh (17th of July)

[giovanna jona lasinio]

*Short courses*

Dear colleagues,

As part of the TIES 2016 conference, two short courses will be held on the
Sunday 17th July and some spaces are still available on these courses which
offer a unique opportunity to learn from world leading scientists in risk
and uncertainty and Bayesian methods.  You can register separately for the
course
<audrey.mccrorie at icms.org.uk?subject=TIES%20short%20course%2017%20July>
<http://environmetrics.us10.list-manage.com/track/click?u=ce2a7a5357e4c043e66873e4b&id=a3aafcfd85&e=4b7149a8a9>or
as an additional option on the TIES registration form
<http://environmetrics.us10.list-manage1.com/track/click?u=ce2a7a5357e4c043e66873e4b&id=5fd429271d&e=4b7149a8a9>

*Course 1:Future Sustainable Ecosystems: Complexity, Risk, Uncertainty*

This course will be delivered by Dr. Nathaniel Newlands and Prof. Alexander
Brenning.  Dr Newlands is an Adjunct Professor in Statistics, University of
British Columbia (UBC-Vancouver), Adjunct Associate Professor in Geography,
University of Victoria (UVic), Canada, an Editor for Frontiers
Environmental Science/Interdisciplinary Climate Change Journal/Nature
Publishing Group, and a member of the Statistical Society of Canada (SSC).
Prof Brenning currently holds the Chair of Geographic Information Science
at the University of Jena, Germany, where he is a member of the Michael
Stifel Center Jena for Data-Driven and Simulation Science.

Focusing on sustainability and linked to a book published this spring, the
course will consider how we make decisions when dealing with the complex
interplay involved in translating scientific evidence into real-world
operational or actionable solutions and where real-world uncertainties may
be exceedingly difficult to quantify.  The course will includes lectures
and practical case studies around the behaviour of complex dynamic systems
and forecasting, statistics of predictive modeling using geospatial data,
geospatial and machine-learning.


*Course 2: Practical Bayes for Beginners*


This course will be delivered by Prof Kerrie Mengersen and Dr Erin
Petersen.  Prof Mengersen has held a Chair in Statistics at Queensland
University of Technology (QUT) for over 15 years. She is one of Australia's
most prominent Bayesian statisticians, is currently an Australian Research
Council (ARC) Laureate Fellow (2015-2020), and is the Deputy Director of
the ARC Centre of Excellence for Mathematical and Statistical Frontiers
(ACEMS) in Big Data, Big Models, and New Insights.  Dr Petersen is
Principal Research Fellow in the Institute for Future Environments and
ACEMS at QUT.

The course will provide an understanding of the fundamental concepts of
modelling in a Bayesian context, using MCMC and 'doing' Bayesian analysis
via the software package R. You will be introduced to a range of models to
describe complex data and the application of these models to real problems
in environmental and agricultural science, as well as ecology.


We look forward to seeing you in Edinburgh

Ron Smith
President, The International Environmetrics Society
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*Copyright © 2016 The International Environmetrics Society 26th Annual
Conference Edinburgh 18 - 22 July 2016, All rights reserved.*
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18 - 22 July 2016
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