University of Plymouth joins the Turing University Network

The new network will give academics across the University the chance to share their expertise with colleagues all over the UK
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The University of Plymouth is looking to advance its research and collaborations in data science and artificial intelligence (AI) through a national network created by the Alan Turing Institute.
Recognising its expertise in applying data and AI across a variety of disciplines, the University has become a partner in the Turing University Network.
Designed to provide all UK universities with the opportunity to engage and collaborate, the network currently has 65 members.
It will give academics across the University the chance to share their expertise with colleagues all over the UK, and enable them to benefit from events and advice offered through the network.
The University will also be looking to promote opportunities for its early career researchers and those from underrepresented groups, something that aligns with the wider strategy of the Alan Turing Institute.
Dr Kimberly Tam, Associate Professor in Cybersecurity, is the University’s academic liaison to the Turing University Network and has also been selected as its national theme lead for marine and maritime.

Being part of the Turing University Network is an acknowledgement of our place at the cutting edge of data science and AI research. We are increasingly using data science and AI in research tackling some of our most pressing global challenges, and in Plymouth that includes everything from the analysis of healthcare data to innovations in maritime cyber security and marine exploration. This network will create opportunities for our researchers to engage in collaborative projects, and access support from others working in similar fields across the UK.

Kimberly TamKimberly Tam
Associate Professor in Cybersecurity

University of Plymouth joins the Turing University Network

Data Science and AI at the University of Plymouth

The University has a range of ongoing research projects linked to the potential uses of data science and AI in addressing challenges linked to national security, the transformation of healthcare and global sustainability.
The Maritime Cyber Threats research group is using AI and data analysis to develop the tools through which international shipping operators will be able to protect their fleets against the threat of a cyber attacks.
Researchers from the Faculty of Arts, Humanities and Business and the Centre for Health Technology are exploring the potential for artificial intelligence to adapt and personalise live radio, with the aim of transforming the lives of people living alone with dementia.
Academics are also using AI and data science to assess changes in the marine environment, the creation of new antibiotics, the development of clean maritime technologies, and advances in artistic performances.
Its research expertise in the field is also passed on to future generations through a number of undergraduate and postgraduate programmes.
Its data science teaching includes Masters-level programmes linked to subjects such as business analytics, health statistics, environmental intelligence, robotics and autonomous systems.
Undergraduates also get to learn about the development and deployment of AI technologies through courses run through the School of Engineering, Computing and Mathematics.
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MSc Data Science and Business Analytics
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MSc Health Data Science and Statistics
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MSc Data Science and Environmental Intelligence

The Turing University Network

The Alan Turing Institute is the national institute for data science and artificial intelligence, and the Turing University Network is a key component of its overarching strategy.
The network supports the Institute in achieving its three ambitious goals: advance world-class research and apply it to national and global challenges, build skills for the future, and drive an informed public conversation.
Through the Turing University Network, the Institute will build a structured and inclusive university network representative of the wider data science and AI community in the UK which will facilitate better connections across the data science/AI landscape.
The network will be open, with minimal barriers to both entry and bureaucracy, and will provide enablers such as mechanisms to connect across the ecosystem, interesting problems and routes to impact.
Donna Brown, Director of Academic Engagement at The Alan Turing Institute, said:
“The network is crucial to successful delivery of the Institute Strategy, enables our role as a national convenor in the data science and AI landscape, and creates opportunity for meaningful collaboration where interests align across research and innovation, skills, and engagement.”
 

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