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.
• Data Week 2026: Museum of Languages

From around the Turing

• Institute of Computing for Climate Science (ICCS) Annual Summer School 2026
  • University of Cambridge, 13 – 17 July 2026, 09:00 – 17:00
  • ICCS will bring together Schmidt Sciences-funded Virtual Earth Systems Research Institute (VESRI) teams and external researchers for a week of collaborative, hands-on learning and expert-led sessions.
  • Find out more and register here.

• Describing the evolution of genomes through Bayesian models
  • University of Liverpool, 14 April 2026, 15:00 - 17:00
  • This talk describes how to model biological information in order to reduce uncertainty in multi-gene phylogenetic estimation. And why this variability is important to understand resistance to antibiotics, pathogen surveillance, etc.
  • Find out more and register here.
• Machine Learning for Earth Observation (ML4EO) conference 2026
  • University of Exeter (Streatham Campus)
  • 22nd of June till 24th of June 2026.
  • Submit abstracts by 31 of March 2026 
  • Further details and submission guidelines

• The Conference for the Study of Artificial Intelligence and Simulation of Behaviour (AISB)
  • The AISB Convention is a flourishing annual conference that thrives from an interdisciplinary audience and facilitates discourse amongst a diverse set of researchers and research cultures.
  • In-person only event
  • University of Sussex
  • 1st to 2nd July 2026
  • More details

• PhD Presentations and Networking Day March 2026
  • University of Edinburgh
  • 27 March 2026, 09:00–17:00
  • Via the 'Turing Connections' initiative, The Alan Turing Institute and the University of Edinburgh invites data science and AI PhD students to our next PhD Presentations and Networking Day

From Turing Interest Groups

The Alan Turing Institute is home to many interest groups that enable researchers to gather around shared areas of interest in data science and AI.

What are the aims of an interest group?

• To share ideas and knowledge.
• To spark new ideas for research collaboration and projects.
• To communicate emerging scientific concepts to the wider Institute and beyond, around a shared area of interest in data science and AI.

Follow the links below to find out more, join interest groups and attend events:

• Neuro-symbolic AI
• Novel data linkages for health and wellbeing
• Interpretation, modelling and verification of information
• Biodiversity monitoring and forecasting
• Simulation-based science
• Data-centric biological design and engineering
• Space science
• Health equity
• Meta-learning for multimodal data
• Precision dementia medicine
• Synthetic data
• Turing trustworthy AI forum
• Clinical AI
• Bridging machine learning and behaviour models
• Learning the organisational principles of living systems
• Machine learning for radio frequency applications
• Data science education
• Data science for engineering structural integrity
• Media in the digital age
• Omics data generation and analysis group
• Trustworthy Digital Identity Interest Group
• Machine learning and dynamical systems
• Knowledge graphs
• Developing best practice for collecting cybersecurity data
• Environment and sustainability
• Computer vision for digital heritage
• Multi-agent systems
• Economic data science
• Entrepreneurship
• Robust machine learning
• Causal inference
• Uncertainty quantification
• Rough paths: machine learning for sequential data
• AI and Arts
• Visualization
• Low-dimensional structure in data and graphs: models, analysis, and algorithms
• Social data science
• Topology and geometry for data
• Natural language processing
• Data Ethics Group
• Fairness, transparency, privacy
• Data science for mental health
• Humanities and data science