AI in Environment & Climate Tech

Below is the criteria for Global AI Awards in Environment & Climate Tech Category:

1. Design (25%)

• Quality of solution design in addressing environmental or climate-related challenges.
• Integration with existing systems (climate modeling, conservation platforms, smart infrastructure).
• Transparency, accountability, and ethical use of environmental and climate data.
• Sustainability-focused design that minimizes ecological footprint.

2. Impact (35%)

• Demonstrable contributions to climate action (mitigation, adaptation, resilience).
• Measurable outcomes such as carbon reduction, pollution monitoring, biodiversity protection, or disaster response.
• Scalability and potential for global or community-wide environmental benefits.
• Influence on policy, awareness, or global sustainability goals (e.g., UN SDGs, Paris Agreement targets).

3. Creativity (25%)

• Innovative applications of AI in areas like renewable energy optimization, reforestation, ocean monitoring, or waste reduction.
• Unique approaches to tackling hard-to-solve climate or ecological problems.
• Use of AI to generate actionable insights that were previously inaccessible.
• Differentiation from conventional environmental monitoring or sustainability solutions.

4. Ease of Use (15%)

• Accessibility for policymakers, scientists, NGOs, and communities.
• Intuitive platforms that allow both experts and non-experts to act on AI insights.
• Low barriers to adoption, especially in resource-constrained regions.
• Strong support, documentation, and education for stakeholders.