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This programme cross-cuts all other Newton Gateway to Mathematics programmes and and activities and relationships with stakeholders in the area are constantly evolving and developing. The Newton Gateway works as a delivery partner with the Cantab Capital Institute for the Mathematics of Information (CCIMI)  on end-user engagement and interaction. CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data, including in the financial markets. 

Coming Up

On 23rd May 2019, the Mathematics of Deep Learning and Data Science will take place at INI. Data science is a fast growing academic discipline incorporating many interdisciplinary areas in engineering, physics and mathematics. Deep learning is now established as a main tool in large parts of modern data science. However, the understanding of deep learning, both from a mathematical and engineering point of view, is somewhat limited. This event aims to explore both the existing theory and the big unanswered questions regarding the science and mathematics of deep learning. The Programme will include talks that look at medical imaging and inverse problems; approximation theory and properties of neural networks; optimisation in deep learning and data science & secure and safe use of deep learning methods.

Geometric and Topological Approaches to Data Analysis will take place on Thursday 13th June 2019. This Research Conference of the Cantab Capital Institute for the Mathematics of Information (CCIMI) will bring together those academics working to advance data science and will provide an update on the research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, as well as highlighting projects being developed elsewhere related to data analysis.This event will be of interest to participants including social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing; cryptography; communication and security;  and those from data processing.

Previous Activities

On Thursday 14th March 2019Quantum Computing in the Pharmaceutical Industry took place in collaboration with the Innovate UK Knowledge Transfer Network. The past two years have seen rapid advances in building scalable quantum computers. It is now widely expected that a device that cannot be simulated by any classical computer (so-called ‘quantum computational supremacy’) will emerge in 2019. The prospect of a relatively near-term device capable of a quantum advantage has sparked a huge amount of excitement in academia, industry and government funding.The workshop brought together experts in quantum computing, the pharmaceutical industry and (classical) computational methods to discuss if this is realistic and explore other potential applications in the pharmaceutical industry.

Novel Computational Paradigms took place on Tuesday 30th October 2018 & Wednesday 31st October 2018 delivered by the TGM in partnership with GCHQ. Many of today’s interesting problems stem from the ability to generate and process large volumes of data, such as for instance, intelligent power grids and smart cities that form part of the Internet of Things. But the ability to work with all this data has to match the demand and if the speed of processing power is to continue to develop to meet such demands, new forms of computing need to be found; new algorithms need to be developed to make efficient use of these new forms of computation; and new mathematical challenges arise in the design and analysis of these new algorithms.
The workshop aimed to investigate potential next-generation advances in novel computational paradigms and brought together relevant stakeholders from across various UK research communities and industry. It is hoped that this activity helped to build closer links and collaborations and aid the establishment of a joined up multi-disciplinary UK community for this area.

On Thursday 14th November 2018, TGM delivered the third Cantab Capital Institute for the Mathematics of Information – Connecting with Industry day. The main focus of this event was as an industrial engagement day that provided an update on research and collaborations taking place at the CCIMI, as well as presenting research being developed elsewhere.The talks highlighted research taking place at CCIMI, with associated industrial engagements and looked to explore the big questions in data science where mathematics is most suited to help provide answers.There was also a session hosted by CCIMI students which they developed and delivered as a group.

On Tuesday 27th November 2018Understanding Multi-Modal Data for Social and Human Behaviour  took place in Cambridge. In an era of data deluge - sensors, cameras, computers and smart phones capture and store an unending torrent of data about human activity. The data is high-dimensional, sequential, complex, heterogeneous and multimodal in nature; but the sample size is woefully small in comparison.  Real benefits to many areas of modern society arise if one can analyse, model and predict different aspects of social and human behaviours.  Techniques, such as those offered by rough paths theory, increase the range of potential successes to include recognising human actions and understanding changing facial expressions.This workshop aimed to increase awareness of what is possible, whether it be better mitigation of risks, management of outcomes, or supporting individuals in their daily lives, across the spectrum of social and human behaviour.

On Friday 15th June 2018, the TGM delivered  Uncertainty Quantification for Complex Systems – Development in Theory and Methodologies. Uncertainty quantification (UQ) is a modern inter-disciplinary science that cuts across traditional research groups and combines statistics, numerical analysis and computational applied mathematics. UQ methodologies are useful for taking account of uncertainties when mathematical and computer models are used to describe real-world phenomena. This helps to better inform decisions, assess risk and formulate policies across multiple areas as diverse as climate modelling, manufacturing, energy, life sciences, finance, geosciences and more.

This event took place as part of an INI Research Programme and featured a number of talks from academia as well as end users. It provided the opportunity for those from industry and the public sector, to access state-of-the-art theory and methods, as well as learning about best practice and helping to foster links between the various communities. It helped to further consolidate opportunities for collaboration between statisticians and applied mathematicians. 

A short introductory talk provided an overview of the Uncertainty Quantification Research Programme. This was followed by a number of academic talks that reviewed progress made over the duration of the Programme, in relation to some of the key research. Two end-user sessions included talks from the environment and energy infrastructure sectors, where speakers described how uncertainty is managed at present in their organisations and the challenges they face.

On 24th May 2018, the TGM delivered The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information. This was the second annual academic conference from CCIMI and focused on the academic interactions taking place related to the mathematics of machine learning.

This one day conference brought together those academics working to advance data science and provided an update on research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, as well as highlighting projects being developed elsewhere related to machine learning. 

On Wednesday 14th - Thursday 15th March 2018, the TGM helped to deliver Algorithms and Software for Quantum Computers in partnership with the Knowledge Transfer Network. This aimed to initiate development of quantum computer algorithms and software by bringing together real-world problem owners (for example in drug discovery or meteorology), mathematicians, algorithm experts, and academic quantum computer hardware experts to explain what code developers need to know to create software, without getting bogged down in the underlying physics. Discussion was in sufficient detail to spark immediate cooperation and collaboration. 

On Wednesday 28th February 2018, the TGM hosted  Big Data and the Role of Statistical Scalability, as part of the wider INI Research Programme and in partnership with StatsScale. A major challenge of working with Big Data is that the volume can exceed what is feasible to compute with and traditional methods can fail to scale up. There has also been a tendency to focus purely on algorithmic scalability, eg, developing versions of existing statistical algorithms that scale better with the amount of data. This event explored these issues and end-user sessions featured speakers from the health, energy and communications sectors.

On 1st February 2018, the TGM delivered Taming Uncertainty in Mathematical Models Used in the Private and Public Sectors as part of the six month Programme at the INI on Uncertainty Quantification for Complex Systems: Theory and Methodologies. This event concentrated on how to handle uncertainty arising from the use of computer models and featured three end-user sessions including talks from the engineering, financial and healthcare sectors. These described how uncertainty is managed at present in a number of organisations and explored if we can cross-fertilise, for example, between engineering, finance and medicine.

On Wednesday 22nd November 2017, the TGM delivered Cantab Capital Institute for the Mathematics of Information - Connecting with Industry. The main focus of this event was as an industrial  engagement day that provided an update on research and collaborations taking place at CCIMI, as well as highlighting projects being developed elsewhere. 

The TGM has facilitated 3 satellite workshops that were run as part of the Variational Methods and Effective Algorithms for Imaging and Vision Research Programme
These took place on Thursday 28th September 2017 - Large-Scale Optimisation Algorithms and its Applications,  Friday 27th October 2017 - Application of Optimal Transport and Thursday 7th December 2017 - Machine Learning for Acquisition Systems.

On Tuesday 5th September, the TGM  delivered Computational Challenges in Image Processing. This an Open for Business event was part of the INI Programme on Variational Methods and Effective Algorithms for Imaging and Vision.The afternoon event highlighted both some of the challenges and potential novel solutions for computational image processing. Talks discussed possible new mathematical models which are needed to address the ever growing challenges in applications and technology, generating new demands that cannot be met by existing mathematical concepts and algorithms.

Working with University College London (UCL), the TGM hosted Data Sharing and Governance on 27th June 2017 at the Institute of Child Health in London. This afternoon workshop embedded within the UCL Theory of Big Data conference  explored the area of big data and data sharing. The programme was targeted at a broad audience of users who deal with personal data and are looking for ways to share this data. The talks highlighted experiences and challenges from collaborative research and data sharing, such as effective practices for interagency working which can lead to effective interventions, as well as opportunities for new cross-industry collaborations.

In June 2017. the TGM hosted High Dimensional Mathematics - A Research Conference of the Cantab Capital Institute for the Mathematics of Information. This was the Institute's s first annual academic conference and brought together those academics working to advance data science and provided an update on research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, as well as highlighting projects being developed elsewhere.

As part of a week long New Developments in Data Privacy Research Programme at the Isaac Newton Institute, the TGM developed and delivered 2 separate events to engage with industry and the public sector in December 2016.
New Approaches to Anonymisation  helped to disseminate the latest advances in the area of anonymisation. Data confidentiality and privacy is an increasingly challenging topics in the new data environment in which there are growing numbers of large databases describing people, their characteristics and their behaviours. It featured a session on end user perspectives which included short talks from data holders in the transport, telecoms, finance, energy and health areas. The facilitated panel session was a forum for questions and discussion around the challenges in the context of various applications with perspectives from both researchers and end-users.

Engaging People in Data Privacy  explored new ways in which data subjects can take an active part in how their data are shared. Presentations and discussion explored how people think about privacy and how this interacts with the use of personal data. They investigated the mechanisms which need to be implemented to improve privacy of data and how the Big Data community can potentially help to address such issues.

Big Data, Multimodality and Dynamic Models in Biomedical Imaging was a one day workshop at the Isaac Newton Institute, Cambridge being held on 9th March 2016 and in partnership with Cambridge Big Data.

Following on from the very successful Coping with Big Data event in London in January 2015, the TGM partnered with UCL to run a half-day workshop Big Data Analytics for Financial Services which was embedded within the 2nd UCL Theory of Big Data Conference in January 2016. This event covered some of the issues around using the breadth and depth of data available to address regulatory and systemic risk challenges.

The Alan Turing Institute provided funding for a number of scientific scoping workshops in 2015. These workshops have helped to define the research programme at the Alan Turing Institute, whose mission is to undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering. It aims to provide technically informed advice to policy makers and enable researchers from industry and academia to work together towards practical applications and solutions. The TGM was pleased to assist with the development and delivery of one of these Data-Rich Phenomena - Modelling, Analysing and Simulations using Partial Differential Equations , which ran between 14th - 16th December 2015, at the Centre for Mathematical Sciences, Cambridge.This four day scientific research scoping workshop brought together expert mathematicians and statisticians, working on nonlinear, nonlocal, and stochastic PDE models and on large, complex network problems, with industrial and academic data science users.

The Techniques for Data Linkage and Anonymisation workshop took place on 23rd October 2014. This investigated techniques for the safer linkage/merging of data, as well as those for more effective anonymisation in order to preserve privacy and confidentiality of personal information.

In the area of Cyber Security, the TGM is working with GCHQ to develop and broaden the Post-Quantum Research community in the UK. A 2-day workshop in May 2014 kicked off a programme of activities, with a second workshop in September 2014. There is a realistic possibility that in the medium term the power of quantum computation will have the potential to compromise some cyber security systems. Therefore, there is a current need to develop classical cryptographic security into schemes that are resistant to quantum computer attack. Activities will seek to identify future challenges and directions for post-quantum cyber-security research and to generate ideas for developing UK research and teaching in the area.