Events and opportunities
Check this page for the latest events and opportunities from around the Turing and organised by the Turing Liaison team.
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.
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