AI Environmental Footprint Measurement Hackathon 2025 (Win a trip to COP30 in Belem, Brazil) – YOA

AI Environmental Footprint Measurement Hackathon 2025 (Win a trip to COP30 in Belem, Brazil)


Deadline: August 27, 2025

Applications are open for the AI Environmental Footprint Measurement Hackathon 2025. Artificial intelligence (AI) programs, together with massive language fashions (LLMs), have driving innovation throughout industries. However, their rising computational calls for contribute considerably to carbon emissions and water utilization, notably in information facilities. As AI adoption scales, there may be an pressing want to develop dependable, clear, and actionable strategies to measure the carbon and water footprint of those programs.

This competitors goals to convey collectively innovators from around the globe to create proof-of-idea options that may precisely measure, monitor, and report the environmental impression of AI programs. By advancing the science of AI sustainability, we are able to empower stakeholders to make knowledgeable choices and develop extra environment friendly, eco-pleasant AI applied sciences.

Focus Areas

Solutions ought to handle a number of of the next areas:

  • Carbon footprint measurement: Tools to calculate the carbon emissions generated by AI coaching and inference processes, together with metrics for vitality sources, computational depth, and geographical variations.
  • Water footprint monitoring: Systems to quantify the water utilization required for cooling information facilities and AI infrastructure.
  • Real-time monitoring options: AI or IoT-based mostly platforms for actual-time monitoring of vitality and water consumption in information facilities.
  • Optimization insights: Solutions that not solely measure but additionally present actionable suggestions to scale back carbon and water footprints.
  • Lifecycle evaluation: Comprehensive strategies to consider the environmental impression of AI programs throughout their lifecycle, from growth to deployment and disposal.

Prizes

  • The winner will get an OPPORTUNITY to current the answer at COP30 in Belem, Brazil.

Eligibility

  • Open to innovators, builders, researchers, college students, local weather advocates, and expertise fanatics from around the globe;
  • Applicants can register as people or as a group;
  • Interdisciplinary teams are inspired—convey collectively experience in AI, local weather science, information engineering, and sustainability.

Evaluation Criteria

Your options will likely be assessed based mostly on the next:

  • Innovation: Novelty and uniqueness of the answer
  • Accuracy: Precision and reliability in measuring carbon and water footprints
  • Feasibility: Practicality and scalability of the answer
  • Impact: Potential to drive transparency and sustainability in AI growth
  • Presentation: Clear communication of findings and methodologies
  • Usability: Ease of use and intuitive design for stakeholders

Application

  • Registration and orientation: 1-27 August 2025
    • Participants register individually or as groups. An in depth briefing on the competitors objectives, key ideas, and environmental metrics will likely be supplied.
  • Proposal submission: 29 August 2025
    • Teams submit a idea be aware outlining their proposed answer, together with its methodology, anticipated outcomes, and alignment with sustainability ideas.
  • Proof-of-Concept growth: 1-30 September 2025
    • Shortlisted groups will develop and exhibit prototypes or proof-of-idea fashions over a designated interval. Teams can have entry to mentorship and sources from specialists in AI, environmental science, and sustainability.
  • Final presentation: 15 October 2025
    • Teams current their options to a panel of judges comprising specialists from AI, environmental science, and business.

Click here to apply

For extra info, go to AI Environmental Footprint Measurement Hackathon.


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AI Environmental Footprint Measurement Hackathon 2025 (Win a trip to COP30 in Belem, Brazil) – YOUR OPPORTUNITIES AFRICA -YOA

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