The connection between the Sun and the Earth is a complex one, involving interactions and variabilities across a dizzying spectrum of scales and systems. The result is a relationship between us and our star that is observable only through a fleet of instruments, methods, and technologies yet creates weather in the near-Earth space environment that is both life-sustaining as well as life-threatening. This relationship is colloquially known as space weather.
To unravel the critical complexities and variabilities and to evolve beyond current approaches to understand space weather, new data-driven approaches and data analysis technologies are required. These data‐driven methods are taking on new importance in light of the continuously changing data landscape of the space weather system, a challenge (and opportunity) shared by all scientific disciplines. Therefore, the scientific community faces both an exciting opportunity and an important imperative to create a new frontier built at the intersection of traditional approaches and state‐of‐the‐art data‐driven sciences and technologies.
In this talk we will first introduce the beauty and power of space weather and then discuss the meaning of data science in the context of space weather, highlighting data science as the actionable exploration of the full data lifecycle, covering collection, through storage, to analysis and decision-based communication of the analysis. We will present the latest efforts to leverage data science innovation to further space weather science, revealing lessons that reverberate across all scientific disciplines and that tie science to engineering, art, and design.
This talk is intended to provide insight to and spark discussion around the characteristics of convergence and antidisciplinary and the role of data science, namely creating new progress and a new frontier through radical interdisciplinarity and methodology transfer.