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Open for Business Events

Open for Business (OfB) events form part of the Institute's mission to foster greater links between academic research and the business world and are organised by the Turing Gateway to Mathematics (TGM). The TGM is the impact initiative of the INI and acts as a vehicle for knowledge exchange between the mathematical sciences and potential users of mathematics, such as industry and other academic disciplines in the UK as well as internationally.  

Open for Business events aim to bring together academic researchers in the mathematical sciences with industrial, commercial and government organisations and individuals to enable formal and informal discussion and networking. They are organised in conjunction with Research Programme academic organisers and take place within a relevant INI Programme Workshop or as a separate standalone event.

Open for Business events provide opportunities, at senior level, for cross-fertilisation between the business-facing activities and the research focus of the Institute. Events are structured to enable the formation of new relationships on the business-academic interface and to assist in identifying the common challenges that have greatest potential for research, knowledge transfer, public policy and commercial impact.

For more details about Open for Business events please contact info[at][dot]uk


Upcoming Events

Form & Deformation in Art, Toys and Games

1st December 2017

This event is part of the Isaac Newton Institute Research Programme Growth Form and Self-organisation.  Mathematicians and scientists who work on the physical aspects of art, on the art-making processes, and on the physics of toys, often work individually or in small groups disconnected from one another. This workshop aims foster exchange between different groups of researchers and practitioners and to establish links between researchers pursuing different diversions and perhaps begin forming a community.

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Recent Events

Future Developments in Climate Sea Ice Modelling

25th September 2017

This one-day event, part of the Isaac Newton Institute Programme Mathematics of Sea Ice Phenomena, specifically addresses climate model representation of sea ice and will also investigate fundamental and applied issues in mathematical modelling of sea ice. In particular, it will seek to identify future priorities for climate sea ice model development.

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Computational Challenges in Image Processing

5th September 2017

This afternoon workshop, part of the Isaac Newton Institute Research Programme Variational Methods and Effective Algorithms for Imaging and Vision, will bring together mathematicians, computer scientists and engineers from both the research and industry communities. Talks from academics and end-users will explore various computational challenges around areas of image processing.

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Big Proof - Challenges in Industry and Research

19th July 2017

This workshop, part of the Isaac Newton Institute Research Programme Big Proof, brought together mathematicians, computer scientists and logicians with those from relevant application areas. The research programme sought to explore foundational, theoretical, and practical challenges in exploiting proof technology to transform mathematical practice across a range of scientific and engineering disciplines.

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Engaging People in Data Privacy

6th December 2016

People generally recognise that there are many social benefits to be derived from big data analytics, eg, in scientific and medical research, in addition to improved consumer products and services.  In fact, over the last decade, there has been a huge increase in the amount of information people share. Growing realisation of the opportunities afforded by linking different databases for further analysis and insight only fuels the momentum.

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New Approaches to Anonymisation

5th December 2016

Privacy and confidentiality of data is hugely relevant in today’s world where increasing numbers of large databases describing people, their characteristics and their behaviours are being looked to for analysis. Indeed, public policy decisions and much scientific research hinge on accurate and comprehensive data about people and there is increasing reliance by commercial organisations basing their success similarly on data describing how people behave.

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    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons