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Thursday 1st February 2018

Isaac Newton Institute

Cambridge,
United Kingdom

Background

Understanding how uncertainty affects real decision-making is an essential part of developing uncertainty quantification (UQ) as a useful intellectual discipline.  On the industrial and commercial side, uncertainty arising from the increasing use of computer modelling affects decisions in areas such as new technology, design, manufacturing, long-term infrastructure investment and insurance. In the public sector, there are very topical issues on health and safety.

Uncertainty quantification is a broad phrase used to describe methodologies for taking account of uncertainties when mathematical and computer models are used to describe real-world phenomena. The scientific challenges of modern life, the recent rapid growth in computing power and the demand for more accurate and precise predictions in areas affecting improved infrastructures, public safety and economic well-being have spawned a recent surge in UQ activity. New UQ methodologies have and are continuing to be developed by statisticians and applied mathematicians independently.

This event is part of the six month Programme at the INI on Uncertainty Quantification for Complex Systems: Theory and Methodologies and will concentrate on how to handle uncertainty arising from the use of mathematical models.

Aims and Objectives

This knowledge exchange event by the Turing Gateway to Mathematics will open up the discussion to a wide audience, including those working in biotechnology, healthcare, medicine, manufacturing, finance, defence, engineering, security, Government and the public sector.

The introductory talks will highlight the key issues raised from the Programme so far and summarise the outputs from the initial workshop on key Uncertainty Quantification methodologies.

Three end-user sessions will include talks from the engineering, financial and healthcare sectors. Speakers will describe how uncertainty is managed at present in their organisations and the challenges they face. Each session will include time for discussion and feedback from the audience.

The main aims of the day will be to:

  • Describe how uncertainty is managed at present in a number of organisations.
  • Try to capture what is required from an operationally useful methodology of uncertainty in the future.
  • Explore if we can cross-fertilise, for example, between engineering, finance and medicine.
  • Ask which current methodologies will be most relevant and can we see over the horizon?

Discussion will be encouraged and the results will feed back into the development of subsequent workshops and also to serve to scope and focus a second satellite meeting that will take place later in the year. 

The workshop will include a poster exhibition, which will run during the lunch and the drinks/networking session. If you would like to exhibit a poster, please include this under "Additional Information" in your registration. 

Registration and Venue

To register please use the Registration link above. A registration fee is charged to cover attendance at this event.

This is £25 for academic attendees and £50 for industrial attendees. Please use this link to make payment.

There is no fee for registered participants of the INI Uncertainty Quantification for Complex Systems Programme.
 
Once you have registered you will be sent a payment link – payment will secure your place and final details will be sent about a week before the event. 

The workshop will take place at the Isaac Newton Institute for Mathematical Sciences in Cambridge. Please see the Isaac Newton Institute website for further information about the venue.

Please note that the Models to Decisions Network will hold its Annual Conference in June 2018,  during the INI Research Programme.