Data Analysis

Technological advances in sensing, data acquisition, mobile devices and the impact of the Internet are leading to increasing amounts of data sampled more rapidly and comprehensively than ever before, in many different scientific domains. If we are to acquire novel insights and knowledge from this data, it needs to be matched by innovations in data management, storage and retrieval and ultimately in data analytics- this is the world of knowledge creation and data-driven discovery. The many forms of data, their complexity and variations present challenges, including designing data systems and search engines, creating algorithms, designing human-computer interactions and making model-based inferences about patterns leading ultimately to discovery.  All these then need to be communicated and visualised.

Data Analysis RTThe University of Glasgow’s research strengths are that, with more than 90 academics, postdocs and PhD students active in this area, with world leading groups in information retrieval, human-computer interaction, computational inference, spatio-temporal models and visualisation supported by world-class research infrastructure in our schools, we deliver expertise and end-to-end system-building ability in all elements of the cycle described above. Our skills have led to us being sought out by industry and government to build leading-edge applications of data analytics, applying our new methodologies and tools in practical real-world systems dealing with large scale data challenges in areas as diverse as environmental monitoring, technology, media and consumer products, fundamental science, systems biology, neuro-imaging and urban systems.

Examples of some recent projects - Globolakes, (delivering knowledge about lake water quality globally- NERC funded), Music Information retrieval with Bang & Olufsen’s 2015 flagship product, Urban Big data Centre (UBDC) (ESRC funded-understanding our cities and the people living within them), Imaging (eg 3-D imaging of facial structure, hyperspectral analysis, neuro-imaging various funders), Sentiment analysis, systems biology (PiMP online platform for metabolomics analysis being developed together with Ingenza).

External partners - Shell, Microsoft, Nokia, B&O, Yandex, environment agencies, National Health Service, financial institutions and government (national and local).

Related Research

How will Data Analysis impact our current and future cities? Find out more here

Key Projects

S4 (Science of Sensor Systems Software): http://www.dcs.gla.ac.uk/research/S4/ 

S4 (Science of Sensor Systems Software) is a key research activity in the areas of Sensor Systems led by Professor Muffy Calder in collaboration with St Andrews and Liverpool Universities and Imperial College -

This programme grant funded by EPSRC will deliver new principles and techniques for the development and deployment of verifiable, reliable, autonomous sensor systems that operate in uncertain, multiple and multi-scale environments.  

 

A Population Approach to Ubicomp System Design: http://www.gla.ac.uk/schools/computing/staff/matthewchalmers/ 

Our primary objective is to deliver a new science of software structures, with design, theory and tools that reflect software in real world use, and able to tackle the complex problem of how to design to support change and appropriation. The key concept is the 'software population': a statistical model of the variety we see when we look at how the same initial program has been used and adapted by its users. 

This programme grant funded by EPSRC is a collaboration, led by Professor Matthew Chalmers, with Imperial College London and should deliver users with programs that may vary but are more comprehensible, robust and adaptable than is the case today.