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Second Clean and Sustainable Growth Study Group

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Sir Clive Granger Building

University of Nottingham

University Park

Nottingham

NG7 2RD

United Kingdom

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The University of Nottingham and the Knowledge Transfer Network are delighted to announce the Second Clean & Sustainable Growth Study Group with Industry. This second Study Group follows the successful event in 2019 which tackled problems in quality control in flowers, freezing of meat products, heat transfer in metal ladles and optimal scheduling in steel operations.

We are now actively seeking challenges to look at over these three days and participants to work on these challenging problems.

Driving translation of mathematical and statistical research advances into high value applications in industry is vital to unlocking key societal and economic challenges in clean growth and sustainability.
This three-day Study Group held at University of Nottingham (20th April – 22nd April) will bring mathematical science researchers from across the UK to work on a number of industry problems over three intensive workshop days to come up with solutions to industry problems from areas as diverse as agriculture, food production and biotechnology, resource efficiency, water and sustainability.
The importance of data science, artificial intelligence, mathematical and statistical modelling at multi scale are key strengths of the UK research base, and can be transformational when applied to industrial problems.

This Study Group is fully funded by the University of Nottingham Leverhulme Doctoral Scholarships programme “Modelling and Analytics for a Sustainable Society” with Support from Innovate UK’s Knowledge Transfer Network; as such, there is no cost for industry to bring a problem to the Group.

We are also delighted to announce that there will be public lecture by Professor Vicky Pope on the 20th April which participants, and others are welcome to join.

Study Group Format

Representatives from industry will present their problems on the first day. Researchers in mathematics, statistics, engineering, computer science and related areas will work together towards practical solutions, and first steps in approaching problems. Early stage career academics, Ph.D students, and postdocs are particularly welcome.

Why take part in the Study Group?

  • Get new problems
  • Expand research portfolio
  • Vital contact with industry
  • Meeting academics from different fields

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Date and Time

Location

Sir Clive Granger Building

University of Nottingham

University Park

Nottingham

NG7 2RD

United Kingdom

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