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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]turing-gateway.cam.ac[dot]uk

 

Upcoming Events

Big Proof - Challenges in Industry and Research

19th July 2017

This workshop, part of the Isaac Newton Institute Research Programme Big Proof, will bring together mathematicians, computer scientists and logicians with those from relevant application areas. The research programme seeks 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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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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Recent Events

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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Probability and Statistics in Forensic Science - Dissemination Workshop

1st December 2016

The legal community faces a number of challenges around the use of probability and statistics in forensic science. For instance, while there have been dramatic advances in the range and scale of forensic techniques used to help solve legal cases, the way that the probative value of forensic evidence is presented in courts is rudimentary and often flawed. In particular, where probative value is presented in probabilistic and statistical terms there have been numerous instances of misunderstanding leading to miscarriages of justice.

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Theoretical Foundations for Statistical Network Analysis - Open for Business Event

1st November 2016

Networks are ubiquitous in modern science and society - many complex systems can be described in terms of networks capturing the intricate web of connections among the units they are made up of. Whenever we observe entities and relationships between them, we have network data. The behaviour of almost all networks, natural or engineered, physical or information-based, involves a strong component of randomness and is typically not fully or directly observed.

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Perspectives on Data Linkage - Techniques, Challenges and Applications

16th September 2016

Data linkage is the process of identifying and linking records about the same entity across one or more databases. However, there are benefits as well as challenges associated with data linkage. For instance, enabling linkage between two or more sources of information can help maximise the value of research data, as well as adding high value to existing surveys and effectively creating new data resources. Policy decisions and much scientific research hinge on accurate and comprehensive data and those who are linking data want to do more.

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    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons