Which project just received £1.25m for LGBTQIA+ heritage?

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Research at Sussex

                                                                                       Wednesday 8 October 2025

Welcome to Research at Sussex.


This is our fortnightly round-up of the latest research news, insights, and discoveries at the University of Sussex. Please share with friends, colleagues, or collaborators who may be interested in receiving regular updates on our research – they can subscribe here to stay up to date.


In this edition:

Sussex secures double research funding success

Two teams from the University of Sussex have secured a total of £350,000 in funding from the UK Research and Innovation's (UKRI) highly competitive proof of concept programme to translate their work into real-world impact. The projects will explore how artificial intelligence (AI) can help tackle hard-to-treat cancers and the development of quantum navigation sensors (read more about these projects below).


UKRI received over 2,800 expressions of interest, with just 48 projects selected to receive funding. Sussex was among just a handful of universities to receive more than one award from the programme that supports the commercialisation of research through spinouts and other pathways.

Transforming cancer treatment with AI

Network diagram of a human protein–protein interaction network, with proteins as circles and lines indicating physical interactions.

Human protein–protein interaction network

The Pearl AI team are collaborating with the Cancer of Unknown Primary (CUP) teams at several hospitals in Sussex and London to explore how AI can be used to find personalised treatment targets for patients whose cancer’s primary site is difficult to determine.


Cancer treatment is usually based on where the tumour starts in the body – but in CUP cases, the origin cannot be identified.

This makes treatment decisions challenging and often leaves patients with limited options and poorer outcomes.


By combining powerful AI tools, rapid cancer genome sequencing, and a unique “bench-to-bedside” research team across Sussex, this project aims to explore ways to transform how these difficult-to-treat cancers are managed and improve patient outcomes.


Above image: Illustration of part of the human protein–protein interaction network. Proteins are shown as circles, and the connecting lines represent physical interactions. In cancer cells, these connections can change, rewiring the network.

Prototype development for next-generation 

quantum navigation sensors

Yellow coastguard boat navigating through rough sea waves.

A team at the Sussex Centre for Quantum Technologies are working on quantum magnetometers – an emerging technology with the potential to transform navigation.


Magnetometers (OPMs) were developed to create a ‘next-generation navigation system’ and aim to reduce the reliance on GPS navigation, due to its high vulnerability for disruption or to fail entirely in underwater environments.

The ultra-sensitive OPM devices use tiny variations in the earth’s magnetic field to pinpoint their location, meaning ships, land vehicles, and aircraft can still navigate even if satellite signals are jammed or unavailable.


This award will accelerate the development of this technology and, over the next 12 months, fund the build of a commercial prototype to be taken forward.

Landmark £1.25m investment to preserve LGBTQIA+ heritage

A drag performer in a pink sequinned suit and pillbox hat leads a queer history walking tour; participants wearing headphones gather outside a white-columned building, smiling and holding pink leaflets.

Photo credit: Kaleidoshoots

As a partner in Queer Heritage South: Live Archive, we are delighted that the project has been awarded a landmark £1.25m by The National Lottery Heritage Fund, one of the largest single investments in LGBTQIA+ heritage since 1994.


The three-year programme, produced by Marlborough Productions, will create an inclusive digital archive, animate it through public events, and culminate in a major exhibition in 2027, marking the 60th anniversary of the partial decriminalisation of homosexuality.

The University of Sussex will help to deliver the project through the Sussex Digital Humanities Lab and the Centre for Sexual Dissidence. We will also host the next phase of public programming: The Coast is Queer Festival of LGBTQIA+ literature (9 to 12 October), in partnership with New Writing South, on campus at the Attenborough Centre for the Creative Arts.


Dr Sharon Webb, Director of the Sussex Digital Humanities Lab (SHL Digital) said:


“Working with Queer Heritage South over the past few years has really shown us how powerful it is to take a collaborative, community-focused approach to heritage work. When queer heritage is collected and protected in a participatory way, it becomes a grassroots effort that truly empowers the people whose stories are being shared, and preserved. SHL Digital is excited to continue this journey and to support this much needed project.”


Explore the Coast is Queer festival programme

Comment: The right questions for AI in biological research

Dr Luke Yates, smiling, in a pink jumper and navy blazer.

By Luke Yates


The field of structural biology has seen a seismic shift from advances in artificial intelligence (AI) with algorithms that can now accurately predict protein structures.


Uncovering protein structures once took years of painstaking experiments; now machine learning can correctly predict a 3D structure from its amino acid sequence. Whilst AI has transformed how we approach structural biology research, it is not a replacement for experimental work.

Talking with Dr John Jumper, a distinguished scientist at Google DeepMind who, alongside Demis Hassabis, was awarded half of the 2024 Nobel Prize in Chemistry for the development of AlphaFold - the protein structure prediction algorithm, he agrees.


“We’ve been doing computer simulations for a long time. We don’t want protein structures as the final goal. We want them because they help us understand biology and they help us make new hypotheses. And then we test those”.


Using AlphaFold to guide experimental work is now common. Researchers are also using AlphaFold to make new discoveries such as unveiling a new component of the DNA replication machinery or revealing proteins crucial for egg fertilisation.


The success of AlphaFold, and any machine learning algorithm, is directly linked to its training data. AlphaFold had the Protein Data Bank, a collection of ~240,000 experimental protein structures with, as Dr Jumper puts it, “very high-quality gatekeeping and curation that ensures that the data are available and reliable”.


If we want more AI-driven breakthroughs, particularly in health, disease, and the discovery of new medicines, we need to think carefully about what problem AI can solve, what experimental data we collect, and how we curate the data to train new AI models.


Dr Luke Yates is an Assistant Professor in the Genome Damage and Stability Centre and was a panellist on a three-part podcast series talking to leading figures in computational biology.


You can watch the episodes here:

Interview with Nobel Prize Winner John Jumper: AI's Next Frontier After AlphaFold

Charlotte Deane: AI, Drug Discovery, and the UK Advantage

Can AI Become the Scientist? James Zou on Virtual Labs at Stanford

Sussex in the media

Professor Xavier Calmet featured in a range of international outlets discussing a miniature detector to capture milli-hertz gravitational waves, opening a new window on black-hole mergers and early-universe signals. Coverage includes Science Magazine, Phys.org, and Techgear.


The Times reviewed the UK’s fast-growing quantum sector, featuring Professor Winfried's comment on the potential for economic gains and job creation.


Professor Gillian Forrester featured on BBC Two’s Secrets of the Brain, discussing how the use of tools helped to shape human brain evolution and what this reveals about our ancestors’ cognition.

We hope you have enjoyed this edition of Research at Sussex. We would love for you to share it with your friends, colleagues, and collaborators – so please feel free to forward it on.


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