From mapping the spread of disease to monitoring climate change, data holds the key to solving some of the world's biggest challenges. It also promises to deliver improved productivity, helping companies streamline their processes, make improvements and maximise their output.
Dependable decisions rely on understanding the provenance and reliability of data. Our data scientists are working to help organisations analyse and use data with confidence. We are developing data standards and platforms to help collect, connect and comprehend data. We are creating the future tools to analyse datasets, and allow the fusion of disparate datasets to deliver more powerful information. As a major part of our work we evaluate uncertainty to support traceability and reliable decision-making.
This ability to extract meaning from increasingly complex data will shape the future of our society and economy, from the next generation of medical imaging to advanced manufacturing and digital supply chains.
Whether developing models for carbon savings of new technologies or applying data analytics to develop new medical treatments, our work helps organisations make decisions driven by robust and reliable data. We specialise in:
We develop techniques to improve modelling and analytics, enabling predictions and decisions to be made with confidence
We are developing standards for data quality and provenance, to ensure data can be applied effectively to diverse applications
We are improving the traceability of data for realising and defining the SI units, and the international comparison of data
We help manufacturers use data to improve the efficiency and flexibility of processes, and apply new technologies with confidence
We provide reliable analysis and modelling to help guide action to mitigate climate change and pollution
Our work helps to provide confidence in data on which new diagnosis and treatment innovations are built
Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant and diverse community around AI standards.
We develop techniques to improve the quality, traceability and reliability of data, as well as understanding measurement uncertainties. Our world-class team has capabilities across data science, including signal processing, software and database development, continuum modelling and Monte Carlo simulation.
We use both commercial and in-house packages, and can develop tailor-made solutions, whatever the challenge.
We have a number of free software packages that you can download, as well as good practice guides and training courses. Search our comprehensive list of resources.