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Uncertainty quantification for complex systems: theory and methodologies

3rd January 2018 to 29th June 2018

Organisers: Peter Challenor (University of Exeter), Max Gunzburger (Florida State University), Catherine Powell (University of Manchester), Henry Wynn (London School of Economics)

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Big data

Statistical scalability

10th January 2018 to 29th June 2018

We are living in the information age.  Modern technology is transforming our ability to collect and store data on unprecedented scales.  From the use of Oyster card data to improve London's transport network, to the Square Kilometre Array astrophysics project that has the potential to transform our understanding of the universe, `Big Data' can inform and enrich many aspects of our lives.  Given the prospects of transformational advances to standard practice in a plethora of data-rich industries, government agencies, science and technology, it is unsurprising that Big Data is currently receiving such a high level of media publicity.

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Stimulating the interchange of knowledge and ideas between academics from different disciplines and users of modern mathematics such as industry and policy makers, the Turing Gateway facilitates access to experts with highly specialist mathematical knowledge.

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The Institute invites proposals for research programmes in any branch of mathematics or the mathematical sciences. The Scientific Steering Committee meets twice each year to consider proposals for programmes (of 4-week, 4-month or 6-month duration) to run two or three years later. Proposals to be considered at these meetings should be submitted by 31 January or 31 July respectively.

The present deadline for submission is 31 July 2018 for consideration at the meeting of the Scientific Steering Committee in October 2018.

> Click here to download a PDF poster detailing much of the information given on this page.

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I only wish I could have spent more time at the INI. It is a unique environment in which to think and write and exchange ideas.

Sunetra Gupta

Professor of Theoretical Epidemiology, Department of Zoology, University of Oxford

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