NRT-DESE: Training in Data-Driven Discovery - From the Earth and the Universe to the Successful Careers of the Future

美国国家科学基金会研究培训（NRT）奖为西北大学的硕士和博士生提供数据分析技能，以推进天文学、物理学和地球科学的研究前沿。在为学生提供数据科学和工程方面的培训的同时，该项目促进了与研究和教育的合作，这将导致具有广泛适用性的新数据工具的开发。通过实习、循证课程方法和一流的公民科学项目，学员将培养出广泛的雇主所需要的核心能力。学员将学习如何有效地让公众参与到太阳系、恒星爆炸、星团和星系、引力波和地震波的发现中来。公民科学项目将用于创新招聘，加强公众和来自代表性不足群体的学生的参与。通过使研究生人数多样化，并改善指导和指导，该研究将为学术界和工业界的多元化，包容性的科学劳动力做出贡献。该课程将计算机科学、电子工程、应用数学和统计学与物理学、天文学和地球科学相结合，培养学生分析空前规模和复杂性的数据集所需的技能。学员将准备应对主要研究设备和设施产生的大量数据的技术挑战，包括大型综合测量望远镜、先进激光干涉仪引力波天文台和地球望远镜。学员将学习数据分析与管理、统计方法和图像处理技能，提出新问题，从方法学科中选择合适的工具，并将其应用于解决物理、天文学和地球科学中的问题。该计划还将培养学生在协作科学社区工作，提高他们的领导，沟通，指导和管理技能。在主要研究机构、国家实验室和私营部门的实习将帮助学生获得可转移的专业技能，以追求一系列的职业道路。

This National Science Foundation Research Traineeship (NRT) award prepares master's and doctoral students at Northwestern University with the data-analysis skills to advance the research frontiers in astronomy, physics, and Earth science. While providing students with training in data-enabled science and engineering, the program promotes collaborations with research and education that will lead to the development of new data tools with broad applicability. Through internships, evidence-based curricular approaches, and capstone citizen science projects, trainees will develop the core competencies in demand by a wide range of employers. Trainees will learn how to effectively engage the public in discoveries on the solar system, stellar explosions, star clusters and galaxies, gravitational waves, and seismic waves. The citizen science projects will be used for innovative recruiting, strengthening the participation of the public and students from underrepresented groups. By diversifying the graduate student population and improving instruction and mentoring, the research will be contributing to a diverse, inclusive scientific workforce in academia and industry.This program will bridge computer science, electrical engineering, applied math, and statistics to physics, astronomy, and Earth sciences in order to develop students with the skills required to analyze datasets of unprecedented size and complexity. Trainees will be prepared for the technical challenges of extensive data generated at major research equipment and facilities, including Large Syntopic Survey Telescope, Advanced Laser Interferometer Gravitational-wave Observatory, and EarthScope. Trainees will learn data analytics and management, statistical methods, and image processing skills to ask new questions and choose the appropriate tools from the method disciplines and adapt them to solve problems in physics, astronomy, and Earth sciences. The program will also prepare students to work in a collaborative scientific community, advancing their leadership, communication, mentoring, and management skills. Internships at major research facilities, national laboratories, and the private sector will help students gain transferrable professional skills to pursue a range of career paths.