Interest groups

The CMI supports a number of interest groups (IGs) which bring together Sheffield researchers and professional services staff from across the disciplines, around an AI related theme.

Image of library

AI ED: Pedagogy & policy for education

Advancing pedagogy and policy to develop education in DS & AI
close up image of microchip/circuit

Foundations of Trustworthy and Efficient AI

Increasing AI transparency, explainability, interpretability, and energy-efficiency
Person looking at data on a laptop

Data Visualisation

Effective and efficient information visualisation to various audiences
Climate and Environment

Climate and Environment

Using AI to tackle climate change, promote sustainability, and advance Net Zero solutions
images of an aeroplane and a digital twin of the aeroplane

Digital Twinning

Using AI, data science, and systems engineering to synchronise real-world data with digital models
DNA strand

Bioscience and AI

Exploring the opportunities, challenges, risks and rewards of interactions between biology and AI
Data driven arts image

Data-driven arts/humanities/social sciences

Revolutionising data-driven research in the arts, humanities, and social sciences
Urban IG Image

Urban, Built Environment and Population Studies

Studying mobility, active lifestyles, urban environments, and population health
Experimental Design & Optimisation

AI-Driven Experimental Design and Optimisation

Focussing on applying AI to design and optimise experiments, products, processes, and systems
Quantum chip

Quantum + AI

Exploring the rapidly evolving intersection of quantum technologies and artificial intelligence

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