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Take a look at the themes and speaker topics to decide which lightning talk you would like to attend.

Running from 11.20-12.30

  1. Confidence sequences with informative, bounded-influence priors (Valentin Kilian)
  2. Structured linear controlled differential equations (Benjamin Walker)
  3. Learning growth laws from sparse data with Biologically-Informed Neural Networks (Rebecca Crossley)
  4. Enhancing agent-based models with computational techniques for macroeconomic crisis analysis (Elena Lickel)
  5. Towards provable provenance and privacy-preserving queries in decentralised data architectures (Jesse Wright)
  6. Quantum cryptography (Matthew Gray)

Running from 11.20-12.30

  1. Causality, AI and ethics: what works and what doesn't (Jakob Zeitler)
  2. Auditing the effectiveness of YouTube user feedback tools at aligning child gamer recommendations (Desiree Cho Shyn-Ru)
  3. Physical AI and systems assurance (Frank Jonas Jr)
  4. Enabling AI governance: non-invasive classification of virtualized machine learning workloads (Ziji Chen)
  5. Some[Body] must receive that pain: a position on agentic accountability (Botao Hu)
  6. What is material to the AI bill of materials? (Patricia Esteve-Gonzalez)

Running from 11.20-12.30

  1. Ethically inferring human states from stylometry and text: introducing SLaDSA (Zandi Eberstadt)
  2. Beyond GPT: teaching AI to think and feel (Heyden Ramm)
  3. How can AI support children's agency? (Vidminas Vizgirda)
  4. Young voices in AI research: piloting an MPLS-wide youth advisory group (Isobel Voysey)
  5. Explorative AI simulating human reasoning: challenges and the nuisance of objectives (Peter Grindrod)
  6. Knowledge production in the age of AI (Josh Weston)

Running from 11.20-12.30

  1. EEG-based brain–computer interface for robotic assistance with user intention prediction (Jae Kim)
  2. Data representation and algorithmic choices in sports cardiology: a bias-aware neural architecture search-driven arrhythmia classification (Erik Vanegas Muller)
  3. Estimating the potential health impacts of community-wide vaccination against Klebsiella pneumoniae infections in older adults in England: a mathematical modelling study (Lay Dewi)
  4. From sensors to systems: building low-latency, privacy-preserving remote health monitoring with in-network machine learning (Yvonne Lu)
  5. The role of multi-annotator datasets in medical segmentation uncertainty (Sophie Fischer)

Running from 11.20-12.30

  1. Searching for the fingerprints of virus-enhanced evolution in vertebrate genomes (Laura Munoz Baena)
  2. Beyond message framing: participant characteristics predict social acceptability of increased deer culling in Scotland (Jessica Frater)
  3. Inferring species interactions and movement from dense sensor networks (Daniel Ash)
  4. LitStructLLM: human-in-the-loop LLMs for scalable literature synthesis in ecology and conservation (Sruthi Krishna Moorthy Parvathi)
  5. Land-use change and ecosystem impacts of shrimp aquaculture in Vietnam: a longitudinal perspective (2011–2025) (Alena Gobel)
  6. Bayesian sound source localisation (Stephen Ellis)

Running from 11.20-12.30

  1. Can we trust an ML model with high predictive skill if it is physically inconsistent? On inductive biases and generalization in ML-based weather prediction models (Maren Hover)
  2. Forecasting temperature-associated mortality and excess deaths with neural networks (Jowan Fromentin)
  3. Higher-order statistics of the gravitational wave background from Pop III.1 supermassive black hole mergers (Lana Alabbasi)
  4. Simplicity wins: the hidden information bias in self-assembling materials (Prarthana Agrawal)
  5. Physical intelligence beyond algorithms: how origami structures give robots smarter bodies (Chenying Liu)
  6. Modelling and assessment of ammonia reduction of iron ores in the shaft furnace (Xuesong Lu)