Open research portal · University of Hull

DAIM Research

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.

The DAIM building at the University of Hull, seen from above

01 Research

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.

Frontier AI

01

Frontier AI

What is changing in AI, and what that changes about the research we can do.

  • Agentic AI
  • Reinforcement Learning
  • Generative AI
  • Foundation Models
  • Autonomous Systems
  • Responsible and Trustworthy AI
AI for Health

02

AI for Health

Health data, clinical decisions, and the cost of being confidently wrong.

  • Clinical Data
  • Medical Imaging
  • Population Health
  • Decision Support
  • Data Governance
  • Generalisation
AI for Humanities

03

AI for Humanities

Computational methods applied to humanities material, which rarely behaves like a dataset.

  • Digital Humanities
  • Cultural Heritage
  • Archives and Text
  • Language
  • Interpretation
  • Provenance
AI for Natural Science

04

AI for Natural Science

AI as an instrument for scientific work: modelling natural systems, and getting to evidence faster.

  • Scientific AI
  • Surrogate Modelling
  • Data-Driven Discovery
  • Environmental Modelling
  • Physical Constraints
  • Uncertainty
AI for Engineering Science

05

AI for Engineering Science

Engineered systems: modelling them, reasoning about them, and improving how they are designed and run.

  • Simulation
  • Digital Twins
  • Optimisation
  • Control
  • Engineering Decision Intelligence
  • Energy and Infrastructure

All research areas in detail

02Research philosophy

Research by design, not by chance.

  1. 01

    Curiosity

    Important research often starts with genuinely interesting questions.

  2. 02

    Complementary strengths

    Collaboration creates value when researchers bring different strengths to the same problem.

  3. 03

    Frontier thinking

    DAIM actively engages with emerging research and asks what new scientific opportunities it creates.

  4. 04

    Translation

    Research should create knowledge, and where appropriate reusable software, datasets, technologies, partnerships and real-world impact.