How Open Data and Interdisciplinary Collaboration Improve Our Understanding of Space Weather: A Risk & Resiliency Perspective

Whitepaper #232 in the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033. Main topics: space weather applications; infrastructure/workforce/other programmatic. Additional topics: space weather research/operations/research loop; space weather […]

by Vincent Ledvina, Laura Brandt, Elizabeth MacDonald, Nathaniel Frissell, Thomas Y. Chen, Ryan French, Francesca Di Mare, Wayne Barkhouse, Tim Young, Ryan McGranaghan, Erika Palmerio, Alexa Halford, Aidan Thayer, Ankush Bhaskar, Chuanfei Dong, Daniel Marsh, Ilkay Altintas, James Colliander, Meng Jin, Richa Naja Jain, Subhamoy Chatterjee, Zubair Shaikh, Brianna Isola, Scott McIntosh, Emily Mason, Pete Riley, Maria Kazachenko, Martin Snow, Dogacan Ozturk, Seth Claudepierre, Andy Witteman, and Jeremy Kuzub

Published onJul 31, 2023

By utilizing open data science, cross-disciplinary collaborations, information systems, and citizen science, we can forge stronger partnerships between science and industry and improve our readiness as a society to mitigate space weather impacts. These ideas fit into a broader space weather “risk–resiliency framework” that can be used to further assess areas of improvement in the field.

How Open Data and Interdisciplinary Collaboration Improve Our Understanding of Space Weather: A Risk & Resiliency Perspective.pdf