The D&S programme is solving challenges across four key areas:
Cyber, privacy, trust and identity
Existing projects:
- Developing novel solutions for human-machine collaboration
and autonomous defence against a range of cyber incursions;
- testing and building capabilities to generate synthetic datasets;
- releasing new secure machine learning models and protocols (including new anonymisation techniques).
Decision support
Existing projects:
- Improving the representation of uncertainty for decision makers;
- the use of complex networks and spatial interaction theory to model the effect of regional global interactions;
- benchmarking the efficacy of using reinforcement learning techniques for wargaming.
Global good
Existing projects:
- Establishing a deeper understanding on how AI ethics can be applied across a range of D&S contexts;
- providing a detailed background on the risks that climate change poses to UK security;
- understanding the spatial and temporal processes of conflict, climate change and migration, and how these lead to potential risks of exploitation.
Understanding data
Existing projects:
- Better detection and classification of patterns and anomalies within datasets of cyber defence relevance;
- the development of Bayesian deep learning techniques;
- new topological data analysis techniques.