Data Science Research
Work is being done involving typology, the understanding of machine learning models, stream processing, and visualisation.
Projects such as SpiNNaker, dubbed ‘the human brain project’, have the potential to generate data too large to store - 'yota-bytes' (beyond exa-bytes). While the area of smart cities includes collecting and mining data from appliances such as smart energy metres.
The handling of survey data within ethical frameworks is of interest, as well as opening up data access and collaborating with publishers and journalists. Social media also offers a data source to experiment with techniques such as sentiment analysis.
Here data is complex rather than 'Big'. Manchester biologists deal with large numbers of variables, as well as large data sets. Other research areas include shape matching in molecular image data.
High throughput techniques are necessary for the chemical testing of biopsy tissue in uses such as cancer identification. Patient data can be examined to look for linkages and enabling care pathways, but within robust regulatory and ethical frameworks.
Data Science is key to diverse areas across the breadth of physics in Accelerator, Nuclear and Particle Physics, Astronomy and Astrophysics, Particle physics, graphene and many more
Business and Finance
Commercial activity generates a constant and voluminous stream of data from research, product/service development, control of financial and material flows, operations management, condition monitoring and improvement of business processes and equipment, product sales, and more. It is very important to understand trade-offs between product quality, resource consumption, and consumer satisfaction, and maintain financial market stability based on data analysis.
Research IT offers High Performance Computing, data visualisation, and storage services.