University of Huddersfield presents
From Data to Decisions.
Trustworthy AI for every sector.
Thursday 10 December 2026 ·
09:30 – 16:30
Oastler Building, University of Huddersfield
Your data in. Cleaned, modelled and explained. Clear options out, to support the decisions you make.
Organisations are adopting AI fast. Few can explain the decisions it makes.
Organisations are moving quickly to adopt AI, and the enthusiasm is real. But many are unsure how far they can rely on it, have doubts about its transparency, and don't know how to integrate it into the way they make decisions. As a result, critical decisions are still made slowly, on gut feel, or with tools nobody can fully explain.
This showcase from the University of Huddersfield shows what changes when data-driven decision support platforms, machine learning and explainable AI are built around real operational problems.
Over one day, you will see working systems our researchers have developed with partners in housing and energy. These platforms help organisations prioritise investment, predict risk, plan retrofit, and justify decisions to boards, regulators and residents. Every demo is grounded in real data and real constraints, not hypothetical use cases. The methods behind them carry over to any sector where decisions are complex, high-stakes, and need to be defended: manufacturing, health and social care, logistics, finance, the public sector and beyond.
- Talks and keynotes
- 6Talks and keynotes
- Live platform showcases
- 2Live platform showcases
- 15-minute Data Clinics
- 1:115-minute Data Clinics
- To attend
- FreeTo attend
Why attend.
Working systems, real data and real constraints. Not hypothetical use cases.
Faster decisions.
Turn scattered data into ranked, evidence-based options that decision makers can act on.
Trustworthy AI adoption.
See how explainability, transparency and human oversight make AI outputs defensible and easier to approve.
A route to collaboration.
Learn how to work with the university through Knowledge Transfer Partnerships (KTPs), funded projects, student placements and research partnerships, often with substantial public co-funding.
- Knowledge Transfer Partnerships
- Funded research projects
- Student placements
- Research partnerships
Built in housing and energy. Ready for every sector.
- Housing
- Energy
- Manufacturing
- Health & social care
- Logistics
- Finance
- Public sector
- and beyond
–
Break
Arrival, registration and coffee
Collect your badge and explore the demo zone, open from the moment you arrive.
–
Talk
Welcome: the case for decision intelligence
Opening the day, and the real cost of slow or untrusted decisions.
Prof. Leigh Fleming
–
Keynote
Keynote: Trustworthy AI for real-world decisions
Explainability, multi-criteria decision-making and keeping humans in the loop.
Prof. George Baryannis
–
Talk
AI in social housing: why this sector matters
How AI is helping housing and social housing providers, why the sector is so important, and the context for the two showcases that follow.
Prof. Philip Brown and Dr. Claire McCamley
–
Live showcase
Showcase 1: An expert-driven intelligent decision support platform with dual-benchmark ranking
Case study: the problem, the platform and the outcome, with Q&A.
–
Live showcase
Showcase 2: Property Asset and Retrofit Insights (PAIR)
Case study: the problem, the platform and the outcome, with Q&A.
–
Break
Lunch, demo zone and 1:1 Data Clinics
Book a 15-minute Data Clinic with a researcher to talk through your data and the decisions you want to improve.
–
Keynote
Industry keynote
How AI has improved decision-making in practice, and what partnership with a university made possible. Speaker to be announced.
–
Panel
Panel: Adopting AI you can trust
Advocates, sceptics and academics debate what it takes to trust AI with real decisions, including voices from the audience.
Led by Prof. Richard Hill
–
Talk
From academia to industry: successful partnerships and real-world impact
Prof. Rakesh Mishra
–
Break
Tea break, Decision Challenge and networking
Post your toughest decision problem. The best submission wins a prize and a 30-minute call with a senior academic.
–
Activity
How much do you know about AI? Live quiz
Join by QR code on screen. The top three win a prize or certificate.
–
Talk
Closing remarks and certificates
Prof. Andrew Crampton
–
Break
Close and networking
Timings may change slightly on the day.
Who you'll hear from.
Academic leaders and researchers from the University of Huddersfield. Industry keynotes to be announced.
Prof. Leigh Fleming
Dean, School of Computing and Engineering
Welcome: the case for decision intelligence · 10:00–10:30
Prof. George Baryannis
Professor of Artificial Intelligence and Co-Director, Institute for Applied Artificial Intelligence
Keynote: Trustworthy AI for real-world decisions · 10:30–11:00
Prof. Philip Brown
Professor of Housing and Communities
AI in social housing: why this sector matters · 11:00–11:20
Dr. Claire McCamley
Research Fellow, School of Human and Health Sciences
AI in social housing: why this sector matters · 11:00–11:20
Prof. Richard Hill
Professor of Applied Artificial Intelligence and Director, Centre for Industrial Analytics
Panel: Adopting AI you can trust · 13:45–14:25
Prof. Rakesh Mishra
Professor and Director, Centre for Energy, Environment and Sustainable Engineering
From academia to industry: successful partnerships and real-world impact · 14:25–14:55
Prof. Andrew Crampton
Professor of Computational Mathematics and Head of Computer Science
Closing remarks and certificates · 15:45–16:25
The team behind the research.
Find us in the demo zone and at the Data Clinics all day.
Dr. Shamaila Iram
Senior Lecturer in Computer Science and Programme Leader, MSc Data Analytics
Prof. Philip Brown
Professor of Housing and Communities
Hafiz Muhammad Athar Farid
Researcher in Data Science and Machine Learning
Gulger Mallik
Research Technician and PhD Researcher in Artificial Intelligence
More than a conference.
Bring a problem. Leave with next steps.
AI Data Readiness Assessment
How ready is your data for AI?
Five minutes. Tell us about the data you hold, how it is managed and how accessible it is, and see how ready it is for an AI research partnership. A personalised report, straight away.
Scan with your phone, or start right here.
1:1 Data Clinics
15 minutes with a researcher during lunch and breaks. Bring a dataset or a decision problem.
Book a slotHow much do you know about AI?
A live quiz in the afternoon. The top three win a prize or certificate.
Decision Challenge
Post your decision problem and how AI might solve it. The best wins a prize and a 30-minute call with a senior academic.
Panel: Adopting AI you can trust
Advocates, sceptics and academics debate trust, transparency and accountability, with voices from the audience.
1:1 Data Clinics
Book your Data Clinic.
Fifteen minutes with one of our researchers, during lunch or the breaks.
Bring your data
A dataset, a spreadsheet, or just a description of what you collect.
Bring a decision
Something you would like to predict, prioritise or explain better.
Leave with next steps
Practical advice, and whether a student project, KTP or research partnership could help.
Tip: take the AI Data Readiness Assessment first and bring your report along.
Choose a time for your Data Clinic
The booking form is provided by Microsoft Forms. Loading it connects you to Microsoft, who may set their own cookies.
Or open it in a new tab (opens in a new tab)Where to find us.
University of Huddersfield
Oastler Building
Room OA5.5/02, Floor 5.5Queensgate, Huddersfield
HD1 3DH
- By train
- Huddersfield station is about a 10-minute walk from the Queensgate campus.
- By car
- Pay-and-display parking is available in town-centre car parks close to campus.
- On arrival
- Registration opens at 09:30 on Floor 5.5. The demo zone is open all day.
- Access needs
- Let us know when you register on Eventbrite and we'll make arrangements.
Hosted by the University of Huddersfield, with partners and funders
See you on
10 December.
Take the five-minute AI Readiness Assessment, then register free to talk through your results with our researchers on the day.