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Frontier AI
What is changing in AI, and what that changes about the research we can do.
Open research portal · University of Hull
Data Science · Artificial Intelligence · Modelling
Exploring the frontiers of AI, data science and modelling — and translating them into research that matters.
DAIM brings together researchers working across artificial intelligence, data science, mathematical modelling and interdisciplinary applications at the University of Hull.
01 Research
One theme for the methods, four for the domains we apply them in. They overlap, and the overlaps are where most of the interesting work happens.
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What is changing in AI, and what that changes about the research we can do.
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Health data, clinical decisions, and the cost of being confidently wrong.
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Computational methods applied to humanities material, which rarely behaves like a dataset.
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AI as an instrument for scientific work: modelling natural systems, and getting to evidence faster.
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Engineered systems: modelling them, reasoning about them, and improving how they are designed and run.
02Research philosophy
Important research often starts with genuinely interesting questions.
Collaboration creates value when researchers bring different strengths to the same problem.
DAIM actively engages with emerging research and asks what new scientific opportunities it creates.
Research should create knowledge, and where appropriate reusable software, datasets, technologies, partnerships and real-world impact.
03 Featured research
Active lines of enquiry. Status labels describe research maturity, not deployment — none of these has been externally validated.
Investigating general-purpose models for time-series data across science, health, engineering and society, starting from reproduction and systematic evaluation of the models that already exist.
Investigating agentic AI systems that support literature analysis, experimental design, coding, reproducibility, scientific critique and research synthesis — with conclusions that stay traceable to their sources.