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The team behind the work describing 'Science Capital' have released their final report looking at Young People’s STEM Trajectories (Age 10-22), as well as subject-specific reports on trajectories in Chemistry, Computing, Engineering and Mathematics.
AI, machine learning and data science
Oxford is at the frontier of the AI revolution, with world leading research not only into the mechanisms of AI, but also the applications and implications of AI.
MPLS AI People
Researchers across MPLS advancing innovation in AI, machine learning and data science.
MPLS EDI Stories - Garrett
We are excited to launch our MPLS EDI Stories, where we invite staff and students to share your personal stories and experiences centred around the themes of equality, diversity, and inclusivity. We want to hear from people from all walks of life and share these with our MPLS and EDI community.
First Principles for Scientists: Enterprise & Innovation
A foundation programme for STEM researchers to enable them to build enterprise 1st principles into every project and build stronger collaborations.