论文标题
21世纪的Heliophysics发现工具：2020-2050的数据科学和机器学习结构和建议
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050
论文作者
论文摘要
三个要点：1。数据科学（DS）对Heliophysics越来越重要。 2。热物理学科学发现的方法将不断发展，需要使用严格应用并且能够支持发现的学习技术[例如，机器学习（ML）]； 3。要随数据，技术和劳动力变化的速度增长，Heliophysics需要一种新的方法来代表知识。
Three main points: 1. Data Science (DS) will be increasingly important to heliophysics; 2. Methods of heliophysics science discovery will continually evolve, requiring the use of learning technologies [e.g., machine learning (ML)] that are applied rigorously and that are capable of supporting discovery; and 3. To grow with the pace of data, technology, and workforce changes, heliophysics requires a new approach to the representation of knowledge.
