Description:

Barriers to accessing weather, climate, economic, and industry data has long hindered the advancement of cross-sector research and development. To unlock the full potential of innovation, we need robust and reliable mechanisms for data sharing across sectors. This includes not only physical observations and model simulations, but also a diverse range of economic datasets capable of linking geophysical events to their societal impacts. The recent advancements of Artificial Intelligence (AI) applications only increase the importance of cross-sector and seamless data sharing and understanding.

This session seeks to spark a dialogue amongst sectors on how to improve data access. Key discussion points include but are not limited to:

1. Protecting Proprietary Information: Implementing effective data filtering techniques to safeguard sensitive information while enabling valuable insights.
2. Bridging the Gap: Mapping end-user needs to existing data sets across sectors, ensuring researchers and innovators have access to the information they need.
3. Responsible Data Usage: Establishing clear guidelines and best practices for utilizing diverse datasets responsibly and ethically.
4. Celebrating Success:  Showcasing real-world examples of successful cross-sector data sharing initiatives that have driven tangible results.
5. Maximizing the Value of New Data: Establishing practices and partnerships for leveraging new commercial environmental observations while protecting the interests of their developers.

We welcome submissions from diverse contributors to explore strategies for breaking down data silos and fostering a future of collaborative, data-driven innovation.