Events and opportunities

Organised by the Turing Liaison team

• Turing Seminar Series - This series boasts academics connected to the Turing, speaking about their cutting-edge research in data science and AI.
• GW4 AI and Data Science: Climate, Health, Migration and Society - 2025 event series - Join us through this new series as we examine how climate, sustainability, health, migration and culture are transforming our society and how AI and data science solutions are enabling us to adapt to the effects of these changes.

Web Archives for Social Sciences Datathon

On 27–28 November 2025 we are organising a Web Archives for Social Sciences Datathon at the University of Bristol. This is in collaboration with our partners: the Common Crawl and UK Web Archive at The British Library. The datathon will take place at the BDFI Neutral Lab.

This two-day event will build capacity in the social science research community to use large-scale Web Archive data for policy-relevant, socio-economic research. Participants will work in teams with curated data extracts from the Common Crawl to address real-world research challenges. They will be supported by our expert facilitators.

Who should apply?

• Early-career and more established researchers in the social sciences who currently use, or wish to use, web data for their research–especially data from Web Archives.
• Researchers with technical backgrounds (e.g. data science) who want to apply their skills to Web Archive data for policy-relevant research.
• Some prior experience with code-based tools (e.g. Python or R) is expected.

What will you gain?

By the end of the Datathon, you will be:

• More confident in using Web Archives to address your own research questions.
• Familiar with the structure, challenges, and opportunities of these data.
• Equipped with technical expertise for working with Web Archive data at scale.
• Experienced in using LLM for analysing such web data.

Practical details

When: 27–28 November 2025

Where: Bristol, BDFI Neutral Lab

Support: Limited financial assistance for travel and/or accommodation is available.

How to apply

Send a one-page document to Emmanouil Tranos (e.tranos@bristol.ac.uk) by 15 October 2025, including:

• Your current position
• Your research interests, particularly how you are using (or plan to use) Web Archive data
• Your technical skills
• Your location and whether you require financial support.

This Datathon is part of the Atlas of Econonic Activities project and is funded by SDR UK.

From around the Turing

• Computation and the Foundations of Physics, Mathematics and AI, King's College London, 15 October 2025, 13:00 - 14:15
  • Creator of Wolfram Mathematica, renowned computer scientist and theoretical physicist Stephen Wolfram joins us for a talk and extended audience Q&A on the computational foundations of physics, mathematics and AI.
  • This event is co-hosted by the Department of Mathematics and the King’s Institute for Artificial Intelligence.
  • Find out more here.

• AI+ Research Seminars, October – December 2025, King's College London, 15 October 2025 - 03 December 2025, 14:00 - 15:00
  • Hear directly from leading experts at King's College London about advancing AI research across diverse fields, from race and technology to computational biology to public health data. These monthly seminars showcase innovative approaches spanning disciplinary boundaries.
  • Listen to expert speakers:
    • 15 October - Dr Nessa Keddo on race and AI-generated content
    • 19 November - Dr Francisco Martin-Martinez on computational modelling of nature-inspired sustainable materials
    • 3 December - Dr Georgia Richards on harnessing open data to track preventable death.
  • All seminars are online, free to attend, and open to everyone interested in hearing more from the experts about how they are doing research in, for, and with AI at King's. 
  • Find out more here.

• Turing Connections PhD Student Presentations and Networking Day, University College London, 24 October 2025, 10:00–17:00
  • Via the Turing Connections initiative, The Alan Turing Institute creates and signposts opportunities which are relevant to PhD students connected with data science and artificial intelligence.
  • These presentation and networking events are designed for PhD students to expand their network and build collaborations by meeting other Data Science and AI students, sharing research and improve communication and presentation skills.
  • The event is free, and the registration deadline is Wednesday 15 October 2025, 23:59
• Present at the Oxford Digital Humanities Conference: 18 November 2025, University of Oxford
  • Deadline to submit papers: 12 August 2025
  • Audience: Graduate students and early career researchers
  • The conference is seeking to bring together researchers using computational methods in the humanities and languages fields across the UK. It will capture a wide range of subject areas across the many communities of scholars utilising digital methods - both from novices and expert practitioners.
  • Find out more about the Digital Humanities Conference

• In-Person Networking Event: BridgeAI Adopters and Developers
  • 13 November 2025, 09:00 - 17:30
  • Venue: Wallacespace, London 
  • Exclusive in-person networking event designed to unite AI adopters, developers, and experts to accelerate innovation and responsible AI adoption across UK sectors
  • Hosted by The Alan Turing Institute, this event offers a unique opportunity to connect with SMEs from across the BridgeAI ecosystem.
  • Read more here

• Build Big meets Build Smart to Explore the Universe
  • University of Liverpool, 14 October 2025, 15:00 - 16:00
  • Modern cosmology exemplifies the synergy between two complementary approaches in machine learning: scaling up with large models and datasets ("build big") versus incorporating targeted inductive biases for specific problems ("build smart"). Rather than choosing between these strategies, the most promising advances emerge from combining both
  • This talk presents three complementary projects that demonstrate this principle in action.
  • Register here

• Simple Foundation Models for Astronomy: an Example Case with Lux
  • University of Liverpool, 11 November 2025, 15:00 - 16:00
  • Thanks to the efforts of large international collaborations there has been, and will continue to be, an unprecedented amount of data collected with telescopes from the ground or in space. These data are predominantly public, come in many different flavours, and are obtained for all types of astronomical objects (e.g., stars, galaxies, black holes...), enabling astronomers to chart from the smallest to the largest scales of the Cosmos.
  • However, while this deluge of data will provide all the necessary information to test current astrophysical theories and push our understanding of the formation of the Universe, we are yet to establish a sound-proof way of synergising all this high-dimensional, multi-modal, vast information.
  • Register here.

• Machine Learning for Tuning and Control in Particle Accelerators
  • University of Liverpool, 09 December 2025, 15:00 - 16:00
  • Machine learning (ML) is a key technology for advancing particle accelerators and should play a central role in their future design. ML methods provide fast predictions at lower computational cost than analytical or classical numerical approaches, capture nonlinear correlations in data, and adapt to changes in machine conditions.
  • These capabilities enable robust online detection, prediction, optimisation, and control, while also supporting accelerator design by reducing the cost of numerical simulations and guiding parameter searches in high-dimensional spaces. Among ML applications, optimisation is particularly prominent, with Bayesian optimisation and reinforcement learning emerging as leading paradigms.
  • In this seminar, the speaker will focus on tuning and control tasks in particle accelerators using these methods and demonstrate their performance in real machines.
  • Register here.

• Data Study Group January 2026: Save the date! 26 January - 06 February 2026
  • Audience: PhD students, post docs & early career researchers
  • Data Study Groups are intensive five-day collaborative, sprint-style research activities which bring together organisations from industry, government, and the third sector, with talented multi-disciplinary researchers from academia, to work on real-world problems.
  • January’s challenge will explore supply-demand gaps and trends in recruitment for AI roles across the UK labour market.
  • Find out more here: Data Study Group - January 2026 | The Alan Turing Institute

• Artificially Intelligent BioSpatial Modeling: Decoding Tumor Geography
  • 27 October 2025, 15:00 - 16:00
  • This event will be held in hybrid form - you can join in the Enigma room at Floor 1 of the Alan Turing Institute
  • Part of the The Turing-Roche knowledge share series. 
  • The tumor microenvironment (TME) is increasingly recognized as a critical frontier in cancer research, revealing how the spatial organization and dynamic interactions among diverse cell populations govern immune responses, tumor progression, and therapeutic outcomes.
  • Veera Baladandayuthapani, Jeremy M.G. Taylor Collegiate Professor and Chair in the Department of Biostatistics at University of Michigan (UM), will discuss his perspective on how the conflation of AI techniques and biologically-informed rigorous statistical modeling can address these challenges and unlock actionable biological insights.
  • Find out more here.

From Turing Interest Groups

Please join the groups via the links below to be sent more information and joining instructions for events.

• Causal Inference Interest Group: Making Rigorous Causal Inference More Mainstream
  • SPEAKER: Julia Rohrer (Wilhelm Wundt Institute for Psychology, Leipzig University)
  • WHEN/WHERE: 20-Oct-2025 3pm UK time (Zoom)
  • TALK SUMMARY: Correlation does not imply causation—but a narrow focus on hammering this catchphrase home to applied researchers may have left many of them ill-equipped to tackle the causal inference problems they will inevitably encounter in their work. Across fields, researchers often fail to realize that they are asking a causal question in the first place, and even if they do, they may lack the toolkit to arrive at a coherent answer. How can we as a scientific community do better? In my talk, I will discuss various (hopefully) helpful ways forward, with a special focus on what the more technically inclined can do to help applied researchers—potentially afraid of anything related to statistics—improve their inferences.
  • REGISTER HERE

• Natural Language Processing interest group: This group host a weekly reading group online and at the Turing Institute. Visit their website for more information about their upcoming events.

• Clinical AI Interest Group - Upcoming meetings - you will need to join the group to be sent the zoom links for the meetings:
  • 14 October 2025, 12:00 – 13:00 - Organised by the Clinical AI interest group, in our October meeting, we will be joined by Professor Steve Niederer, PI for the CVD-Net project at The Alan Turing Institute. Find out more about the project here: CVD-Net: Networks of Cardiovascular Digital Twins.

• Humanities and Data Science interest group: CALL FOR ABSTRACTS. Conference: Quantitative Diachronic Linguistics and Cultural Analytics, 15-16 January 2026, King’s College London (Strand Campus, WC2R 2LS)
  • We invite submissions for the conference Quantitative Diachronic Linguistics and Cultural Analytics: Data-Driven Insights into Language and Cultural Change. The conference is funded by the London Arts & Humanities Partnership.
  • For more information, see the conference webpage