La Serena School for Data Science: Applied Tools for Astroinformatics, Biomedical Informatics, and Other Data-driven Sciences

科学数据的数量和复杂性持续快速增长。新的天文测量将产生比以前大得多的数据集。这对数据驱动的发现提出了新的挑战。它还为跨学科研究提供了新的机会。天文学在造就“pi形”数据科学家方面走在了前列。这些人既有科学专业知识，也有跨学科知识。许多其他领域也看到了需要这种圆周率的科学家。拉塞雷纳数据科学学院2017-2021年将向本科生和毕业生介绍他们需要的工具和技术。它们将及时为2020年及以后的大型科学项目做好准备。来自广域和时间域天文测量的巨大(Peta-Scale)数据集的存在对数据驱动的发现、访问和分析提出了重大担忧，同时也为应用数学、统计学、机器学习和相关主题的跨学科研究提供了新的机会。天文学提供了一个沙盒，来自不同领域的科学家可以聚集在一起，解决“大数据”范式中的共同挑战。拉塞雷纳学院为期一周，从2017年到2021年，每年将培训来自美国、智利和其他国家的天文学、生物医学、计算机科学、统计学和数学方面的下一代科学家，掌握海量数据的工具和技术。凭借从这所学校获得的经验，参与者将准备好领导对明天极大数据集的探索。2013年至2015年举办的试点学校非常成功，既表明了需求，也为国家科学基金会和智利机构之间的合作奠定了坚实的基础。这一奖项将吸引15-18名美国学生来智利学习海量数据，并与拉丁美洲和其他国际同行并肩工作，每年大约占班级人数的一半。对这些学校的支持得到了智利不同机构的共同支持。NSF的资金由国际科学和工程办公室以及数学和物理科学局提供。

The volume and complexity of scientific data continue to grow rapidly. New astronomical surveys will result in datasets much larger than those previously available. This poses new challenges for data-driven discovery. It also enables new opportunities for interdisciplinary research. Astronomy is at the forefront in creating "pi-shaped" data scientists. These people have both science expertise and cross-disciplinary knowledge. Many other fields also see the need for such pi-shaped scientists. The La Serena School for Data Science 2017-2021 will introduce undergraduates and graduates to the tools and techniques they need. They will be ready just in time for the large scientific projects of 2020 and beyond.The existence of enormous (peta-scale) datasets coming from wide-area and time-domain astronomical surveys poses significant concerns for data-driven discovery, access, and analysis, even while enabling new opportunities for interdisciplinary research in applied mathematics, statistics, machine learning, and related topics. Astronomy provides a sandbox where scientists can come together from diverse fields to address common challenges within the "Big Data" paradigm. The one-week La Serena School, each year from 2017 to 2021, will train the next generation of scientists in astronomy, biomedicine, computer science, statistics, and mathematics, from the US, Chile and other countries, in the tools and techniques of massive data. With the experience gained from this school, participants will be prepared to lead the exploration of the extremely large datasets of tomorrow. The pilot schools, held from 2013 to 2015, were very successful, both demonstrating the demand, and building a strong foundation for collaboration between the NSF and Chilean institutions. This award will bring 15-18 U.S. students, roughly half of the class each year, to Chile for a combination of learning about massive data and working side-by-side with their Latin-American and other international colleagues. Support for the schools is shared with a diverse set of Chilean institutions. NSF funding is provided by the Office of International Science and Engineering and the Directorate for Mathematical and Physical Sciences.