About The Westminster AI Network

The Westminster AI Network brings together research and teaching from different schools and colleges engaging them in ground-breaking university-wide capacity building activities to strengthen the impact and external funding applications. The Network is truly interdisciplinary and is co-directed by Dr Alexander Bolotov (Copmputer Science and Engineering) and Dr Tom Nadarzynski (Social Sciences).

Primary Purpose

  • Support high-quality, world-leading or internationally excellent AI&Data research, both foundational and in cross-cutting interdisciplinary areas, promoting cross-school and cross-college collaborations and producing high-quality outputs to strengthen Westminster REF2029 submission.
  • Function as a knowledge base and collaboration hub for projects attracting external funding.
  • Function as a university-wide AI&Data research hub, not only linking Westminster researchers, often working in remote areas and not visible to each other, but also contributing to the establishment of new partnerships with industry and public sector organisations, thus boosting AI research and knowledge exchange with significant impact.
  • Reflecting the emerging trends and growing interest in AI&Data research within our PhD research, UG and PG provision supporting research students from diverse backgrounds.
Membership 
The membershp is fully inclusive and is open to any Westminster researcher across the University with an established AI expertise or demonstrable interest in AI research.

 

Engagement with the Turing Institute

The Alan Turing Institute is the UK’s national institute for Data Science and Artificial Intelligence. In 2023 Westminster joined the Turing University Network (TUN) becoming one of the 65 TUN members. The Westminster AI Network has been established  through our engagement with the Turing Institute as the result of emerging strengths in AI and Data within the university as a whole.

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