Climate Solutions Design Sprint
Participate in a design sprint focused on exploring opportunities to use AI to solve our greatest climate challenges
You will have the opportunity to work in teams that span government, industry and academia to develop and pitch an AI solution for a chosen climate challenge.
Our AI for Climate Use Cases
Innovating on energy efficiency: Solutions for at-home and on the road: This use case considers contexts like electric vehicle use and household carbon footprints, contexts where individual consumers are looking for proactive ways to respond to the changing climate.
Solving for emission reductions across (healthcare) supply chains: Not just a challenge for healthcare, this is an opportunity to explore how Scope 3 within the Health sector can be defined, assessed and responded to in novel, innovative ways.
Getting granular about one of our biggest sources of emissions: Methane: This cross-domain use case asks how we might achieve greater spatial and temporal resolution with available data science capabilities. It uses ‘methane reduction as a climate mitigation strategy’ as an example application.
Shining a light on sources of human bias with AI for climate: This cross-domain use case invites you to consider innovative ways of applying AI to contexts of climate mitigation and adaptation where people may be prone to cognitive biases and shortcuts that prevent optimal decisions
How you can get involved:
- Register to attend
- Join the design sprint to develop and pitch an AI-driven solution to the use case that aligns with most your interests and capabilities.
What to expect
Day 1: Ideation sprint
Here teams will work through a series of activities that are designed to rapidly and collaboratively identify and pitch a potential AI-driven solution to an emerging climate challenge.
Day 2: Pitching session
Teams will have the opportunity to present and discuss their solution with other teams as part of a poster session. Participants will vote on the most innovative solutions and the top five will be invited to pitch in a final session to determine the winner.
Meet the Design Sprint Team
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Digital Futures Lead
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Technology and Work Lead
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Senior Experimental Scientist, Digital Futures
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Research Scientist, Digital Futures
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Senior Research Scientist, Digital Futures
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