Research Showcase

Lancaster leads several major strategic research programmes, delivering next-generation solutions across the data science landscape.

Bayes4Health

New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences (Bayes4Health) brings together an exceptional team of investigators with a world-leading track record in fundamental data science and applications to health and biomedical sciences.  The project will develop the new approaches that are needed both within the health sciences and more widely, addressing key research challenges  - directly developing new insights and understanding.

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Connected Health Cities

The Connected Health Cities (CHC) programme unites local health data and advanced technology to improve health services for patients in northern England. By making better use of the information and technology that already exists in our health and social care system we can make sure services are more joined-up and improve the health of patients. Working with patients, health practitioners and experts in digital health, CHC will deliver research that is relevant, effective and has a real impact on public health.

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Data Science of the Natural Environment

Data Science of the Natural Environment is a bold collaboration between Lancaster University and the Centre for Ecology & Hydrology which will co-create and deploy a data science of the natural environment.  Driven by grand challenges of environmental science, co-designed with an extensive range of key stakeholders, our multi-disciplinary team of internationally-renowned data and environmental scientists will develop a broad and unique range of new data science techniques, fused with environmental models in an integrated framework to enable better-informed decision-making around the most pressing challenges faced by society.

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Ensemble

Ensemble is an umbrella initiative examining the role of technology in supporting a new kind of environmental science, a more open, integrative and collaborative science involving data scientists, computer scientists, experts in communication and also earth and environmental sciences. The work in Ensemble is partially funded by a DT/LWEC Senior Fellowship. Other projects include "Models in the Cloud", a project focussing on the support offered by cloud computing to Environmental Science and to the execution of potentially complex environmental models in the cloud.

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NG-CDI

NG-CDI: ​Next Generation Converged Digital Infrastructure is an ambitious programme geared to create a radically new architecture for the UK’s internet and telecommunications infrastructure. This £5M EPSRC and BT Prosperity Partnership is a collaborative partnership with the Universities of Lancaster, Bristol, Cambridge and Surrey and BT. Its strength lies in its multi-disciplinary and multi-stakeholder approach to bring innovative solutions to developing the infrastructure within a rapidly changing society.

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OptiFrame

OptiFrame focuses on the development of Trajectory Based Operations, adopting a holistic view of the Air Traffic Management system, interacting closely with relevant stakeholders to ensure the realistic modelling of their requirements. OptiFrame is funded by a two-year SESAR 2020 Exploratory Research Project led by Lancaster University’s Management Science group in partnership with EUROCONTROL (European Organisation for the Safety of Air Navigation, Belgium), CFR (Consorzio Futuro in Ricerca, Italy) and NLR (Stichting Nationaal Lucht- En Ruimtevaartlaboratorium, The Netherlands).

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OR-MASTER

The demand on our airports is ever-increasing with growing concerns over airport capacity and the impact of congestion on both the travelling public and the air transport industry. OR-MASTER, an EPSRC funded research programme, seeks to directly address these issues building on the UK’s world-leading expertise in Operational Research to find the most efficient ways to schedule flights, developing and testing new models and solution algorithms that take account of the numerous factors involved in the allocation of flight 'slots'. The programme is led by a team at Lancaster University Management School, working with researchers at the Queen Mary University of London, and draws on strong partnerships with the air transport industry and policymakers.

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PACTMAN

We live in a world in which our ability to capture personal user data far exceeds our understanding of how to manage issues of trust, privacy and consent with potentially far-reaching consequences for both individuals and society. Without independent academic research in this space, we run the risk of privacy and trust being sacrificed in the rush to commercially exploit these new sensing capabilities. In this project, we will conduct pioneering interdisciplinary research to create the world's first comprehensive system for privacy and consent management in future pervasive environments, i.e. environments with a wide range of sensing capabilities.

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PETRAS

The PETRAS Internet of Things Research Hub is a consortium of nine leading UK universities which will work together over the next three years to explore critical issues in privacy, ethics, trust, reliability, acceptability, and security. Funding for the Hub includes a £9.8 million grant from the Engineering and Physical Sciences Research Council (EPSRC) which will be boosted by partner contributions to approximately £23 million in total. This project also runs in collaboration with IoTUK. Lancaster will be contributing expertise in trust, security and design issues for the IoT.

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StatScale

Data is now being collected at unprecedented rates from sensors now ubiquitous in both industrial processes and consumer devices. This deluge of data results in data streams – connected flows of data which are often being recorded at very high sampling rates. The statistical analysis of these streams poses fundamentally new statistical challenges which, when developed, will enable us to better explore and identify insights arising from such streams. StatScale, a £2.75M EPSRC-funded research programme, will develop the next generation statistical tools required to unlock the value in such streaming data and benefits from substantial input from key partners such as AstraZeneca, BT, Shell and the Office for National Statistics.

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STOR-i

Established in 2010, the EPSRC-funded STOR-i Centre for Doctoral Training develops the next generation of international research leaders in statistics and operational research (STOR) through a programme in which industrial challenge is the catalyst for methodological advance. The proposal brings together LU's considerable academic strength in Statistics and OR with a formidable array of industrial partners. All are committed to the development of graduates capable of either leadership roles in industry or of taking their experience of, and commitment to, industrial engagement into academic leadership in STOR.

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