Earth science data is more abundant than ever—yet the gap between data generation and actionable insight remains wide. This session advances the conversation on how the next generation of technologies—agentic AI, large language models, digital twins, immersive 3D environments, and serverless cloud-native architectures—are reshaping how geospatial and Earth observation data is accessed, analyzed, communicated, and acted upon. Building on advances in open standards, FAIR data practices, and user-centered design, we invite contributions that demonstrate real-world deployments bridging research and decision-making across domains including climate resilience, wildfire monitoring, disaster response, hydrology, biodiversity, and resource management. We especially encourage submissions showcasing interoperable, scalable, and inclusive tools that lower technical barriers for non-expert users, policymakers, and underserved communities. Sessions may highlight platforms, APIs, agent-based pipelines, voice-enabled interfaces, virtual reality environments, or open-source frameworks driving transformative impact.

• A - Atmospheric Sciences
• IN - Informatics
• NH - Natural Hazards
• SY - Science and Society