Climate action increasingly depends on data, evidence, and responsible use of AI to drive decision-making and impact. In this interactive session, data.org will share real-world examples and practical learning pathways through their global Capacity Accelerator Network (CAN), helping participants understand what data-driven climate work looks like and how to build entry points into it. Attendees will explore curated learning tracks, reflect on their own skill goals, and engage in an open conversation about the resources and capabilities they need to advance in climate-aligned roles.
Who should attend:
- Students and recent graduates exploring climate careers
- Early-career professionals interested in data, evidence, and AI for climate
- Anyone curious about practical pathways into climate work
Takeaways:
- Understand how data + AI enable climate decision-making
- Discover structured learning pathways via CAN
- Reflect on your next steps toward climate-aligned skills and opportunities
Speaker
Shivam Shukla is the Lead for Programs and Capacity Building at data.org, where he partners with the Director of Capacity Building to shape and deliver global initiatives aimed at cultivating 1 million purpose-driven data and AI practitioners by 2032.
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