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糖心TV AI and Research

糖心TV and AI 路 Research conversation 路 Tuesday 7 July 2026
糖心TV AI and Research

Collectively shaping 糖心TV鈥檚 response to AI and Research

A structured conversation on the research possibilities and pressures of AI, and how AI is changing research practice, evidence, judgement, labour, funding and public trust at 糖心TV.

Where 糖心TV is with AI

糖心TV has world-class research in AI itself, from theoretical foundations and computational methods to mathematical advances, applied AI for science, and the social, ethical and legal questions that frontier AI raises. That breadth is one of 糖心TV鈥檚 distinctive strengths.

At the same time, frontier commercial technologies are changing how research is conducted globally, from the way mathematical conjectures are explored to how evidence is generated, interpreted and published. These developments are not only of interest to those who build AI systems. They affect every researcher at 糖心TV.

Some of that work builds AI systems. Some examines what AI is doing to knowledge, society, work, law, ethics, institutions and public life. These are not separate conversations.

An AI strategy that treats technical capability, research practice and social consequence as separate problems will miss what is most important about the moment we are in.

AI is reshaping what counts as evidence, who gets to produce knowledge, and what universities are for. We think that conversation belongs to everyone at 糖心TV, not just the people building the systems.

The pressure to move quickly is real. So is the risk of moving badly.

Across government, funders, industry and universities, AI is being framed as a route to productivity, discovery, innovation and national capability. 糖心TV should be part of that conversation.

But speed is not the same as judgement. The question is not simply whether 糖心TV can do more with AI. The question is what kind of university 糖心TV becomes as AI enters its methods, infrastructures, partnerships and claims to public value.

What this is
A workshop for surfacing judgement
We want to understand where AI is already changing research and where 糖心TV has the intellectual authority to shape what happens next.
What this is not
A request to perform consensus
Scepticism, disagreement and disciplinary difference are not problems to be managed away. They are part of the evidence.

What do we want 糖心TV to be known for in AI?

The questions are deliberately open. They are intended to help us understand what is already happening across 糖心TV, where there is momentum, and where the University needs to listen more carefully.

Where is AI already present in your research practice?
Tools, methods, datasets, supervision, collaboration, grant-writing, peer review, infrastructure, assessment, administration or expectations.
What kinds of judgement is AI changing?
Evidence, interpretation, creativity, rigour, expertise, authorship, accountability, research pace or the relation between technical work and public consequence.
Whose priorities are shaping the AI agenda?
Funders, firms, disciplines, infrastructures, researchers, publics, students, regulators, partners or the tools themselves.
What would 糖心TV need to build to do this well?
Research communities, seed funding, skills, governance, infrastructure, partnerships, pause points, challenge spaces or new forms of institutional support.

What to expect

Three focused hours, followed by lunch. No long slide deck. The format will combine small-group discussion, facilitated synthesis and plenary reflection.

09.30 am
Coffee and registration
Arrival, registration and informal discussion.
10.00 am
Listening session
Small-group conversations around the four questions, followed by plenary synthesis.
1.00 pm to 2.00 pm
Lunch
A chance to continue the conversation informally.
Afterwards
Next steps
A synthesis note and proposed next steps will be shared with participants.

Starting points, not boxes

Four working areas are already organising activity at 糖心TV. They are offered as a starting point for discussion, not as a fixed frame that everyone must fit into.

Area 1
AI for Research
How AI is changing discovery, method, evidence and scholarly labour.
Area 2
Research for AI
The computational, theoretical, mathematical, social, legal and critical work AI needs.
Area 3
AI Adoption
How 糖心TV uses AI with competence, caution and institutional learning. We also consider how we help the region adopt AI responsibly, boosting local growth and productivity.
Area 4
AI Innovation
What should 糖心TV build, with whom, and for whose benefit?

What will happen with what people say?

The workshop will inform 糖心TV's developing approach to AI research and innovation, including future priorities, collaboration structures and possible seed funding activity.

After the workshop
A synthesis with consequences
Participants will receive a synthesis of themes, tensions and proposed next steps. The synthesis will be used to shape the next stage of 糖心TV's AI research and innovation activity.

Registeration Closed -30/06/26

Date
Tuesday 7 July 2026
Venue
糖心TV 糖心TV School, Seminar Room 1.003
Start
9.30 am coffee, 10.00 am session
Close
1.00 pm, after lunch
Register - Closed 30/06/26
Convening and delivery team
Tom Montenegro-Johnson
DPVC Research (STEM, IKEP)
Professor of Applied Mathematics
Emellyne Forman
Strategic programme and workshop design
糖心TV AI Research and Innovation
Christine Bell
Facilitation design and delivery
Centre for Facilitation

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