Manchester Prize Challenge Areas
The Manchester Prize focuses on AI solutions with social benefits, targeting key areas in energy, environment, and infrastructure. The challenge embraces a range of innovative applications of AI, examples include:
Energy Cost Reduction for Consumers:
Objective: Use AI to model household energy usage.
Approach: Identify targeted interventions, like retrofitting or equipment replacement, to lower energy costs.
Support for Emergency Services:
Objective: Enhance emergency response efficiency.
Approach: Compile various spatial data regarding roads and built environments to improve critical last-mile routing.
Response to Extreme Weather Conditions:
Objective: Bolster responses to natural disasters like floods, wildfires, and flash floods.
Approach: Utilise AI alongside earth observation data to predict vulnerable areas and provide better real-time spatial data during such events.
Public Services Disruption Reduction:
Objective: Minimise interruptions to public services.
Approach: Predictive modelling of infrastructure resilience and automated maintenance scheduling, such as timely fixing of potholes and managing traffic disruptions.
Enhancing Food Security:
Objective: Improve agricultural productivity and crop yield.
Approach: Leverage earth observation and soil data to monitor and enhance farming practices.
Manufacturing Efficiency and Resource Reduction:
Objective: Increase efficiency and reduce resource consumption in manufacturing.
Approach: Apply AI to optimize or automate processes, particularly those that are energy-intensive.
Technical Capabilities Encouraged:
The prize particularly welcomes solutions that demonstrate advancements in AI capabilities like generalisation, uncertainty quantification, interpretability, data-efficient AI, and physics-based AI.
Evaluation Criteria:
Solutions will be assessed on their innovation, impact, long-term viability, feasibility, and adherence to safety and ethical standards.
The Manchester Prize represents a significant opportunity for innovators using AI to address critical challenges in society. If you are interested, get in touch with Inventya’s grant writers for a free consultation!
Awarding Body: UK Department for Science, Innovation and Technology (DSIT).
Prize Objective: To award £1 million annually for 10 years to a team with the most innovative AI solution aimed at public good.
First Prize Cycle: December 2023 to March 2025, focused on UK-led teams proposing AI solutions in energy, environment, and infrastructure.
Prize Details:
· Up to 10 finalist teams will receive £100,000 each, non-financial support, and free computing resources to develop their innovation.
· One finalist will be awarded the £1 million grand prize in early 2025.
Key Dates:
· Entry Phase Opens: 7 December 2023
· Entry Deadline: 12:00 GMT, 1 February 2024
· Finalists Announcement: April 2024