Research theme: Data science

About our research

We explore the fundamentals of data science, the application of cutting-edge technology for data analytics, and data science product development.

Our research interests focus on:

• big data

• machine learning / deep learning

• artificial intelligence (AI)

• natural language processing

We develop interdisciplinary methods, frameworks, algorithms and systems to extract knowledge from structured and unstructured data.

We are pioneering the use of AI-enabled approaches driven by big-data to address societal challenges across different application domains such as precision agriculture, healthcare and smart cities.

Working alongside the Sociology research group, our Crime and Wellbeing Big Data Centre applies analytical approaches to study the relationship between the causes and outcomes of crime, health and wellbeing.

It has helped our partners, such as Greater Manchester Police, enhance and streamline their services through improved demand analysis and forecasting.

Our unique work on natural language processing and text mining focuses on hate, extremist and radical speech. We are developing a multi‐lingual (English, Arabic and Urdu) and multi-layered framework for identifying and analysing socio-politically motivated texts.

Funding

We work with a range of public bodies and organisations, with funding from:

• UK Research and Innovation - including the Engineering and Physical Sciences Research Council, the Biotechnology and Biological Sciences Research Council, Medical Research Council and Innovate UK
• Newton Advanced Fellowships, Royal Society - The Academy of Medical Sciences
• British Council
• Horizon 2020
• Newton Fund
• industry
• charities