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Understanding Uncertainty in Environmental Modelling

One of three workshops for PhD students and early-career researchers on Understanding Uncertainty in Environmental Modelling, hosted by LSE and funded by NERC's Advanced Training programme.  This workshop is residential and is themed towards biological and ecological modelling.
 
Modelling and simulation are an increasingly important part of modern science, especially in highly policy-relevant disciplines such as ecosystem modelling, natural hazards, and climate projection.  Good practice in the use and interpretation of models is therefore vital, both for sound science and for informing evidence-based policy decisions.  The workshops will present an overview of model evaluation methods, statistical inference for model output, and the use of models in risk management and decision-making, with the aim of exposing participants to methods and insights available in environmental modelling and encouraging critical evaluation of the approaches and methodologies used in their own research.  The workshops will be structured around several themes, with facilitated discussion time and interactive problem-solving exercises, allowing participants to explore and understand the concepts presented by the expert lecturers.  Participants will leave with an overview of the key issues of uncertainty in environmental modelling, an understanding of how these affect their own research methods and where to find expert guidance and further information.  Each course includes a poster session and practical exercises.
 
The closing date for receipt of applications is 9am, Monday 10th November and we expect to confirm all places around the end of November
 
Please see the course web page for more details and to apply for a place.
 

Date and time

Start Date :
08/01/15
End Date:
10/01/15
Duration :
09:00 – 16:00
Type :
Workshop

Organiser details

Organiser :
Erica Thompson e.thompson@lse.ac.uk

Address details

Venue :
London School of Economics
Address : 

London School of Economics & Political Science

United Kingdom

WC2A 2AE