Research themes
Research themes
Each of AI4CI’s five domain-specific research themes and two cross-cutting research themes pursue case study research projects in collaboration with relevant stakeholder partners. These case studies work to deliver novel research findings and also serve to exemplify the type of research that the Hub will catalyse nationally.
Communication and co-ordination between the themes ensures that cross-cutting research questions are tackled in a joined-up way and allows all themes to benefit from each other’s insights and breakthroughs.
Environmental Intelligence
AI tools that overcome challenges by democratising access to good quality information about environmental change
Financial Stability
Development of personalised, adaptive AI to enable individuals, businesses and government to make better informed decisions
Healthcare Ecosystems
Machine learning analytics for collective healthcare data, and co-design of smart healthcare agents for patient collectives
Human-Centered Design
Addressing an issue vital to developing AI for collective intelligence: achieving successful interaction with human users
Infrastructure and Governance
Tackling a cross-cutting issue vital to deploying AI for collective intelligence at scale in any use domain
Pandemic Resilience
Development of new AI/machine learning tools for future pandemics, and potentially for mitigating seasonal outbreaks of endemic disease
Smart City Design
Modernising local plans using collective data and machine intelligence