WORKSHOP ON TRAINING STUDENTS TO EXTRACT VALUE FROM BIG DATA

美国国家科学院将计划并组织一个跨学科的公共研讨会，以探讨不同领域的学生需要的培训观点，以便从大数据中提取价值。该研讨会将确定学生分析大数据所需的关键技能。它将考虑工业界、学术界和政府的需求，并以从新兴课程和课程中获得的经验为基础。应邀参加研讨会的专家包括统计学、机器学习、数据库、大规模计算系统、流计算、用户域、健康和生物信息学以及工业方面的专家。随着大量数据的不断涌现，许多传统的数据分析方法已经不起作用，或者不能很好地工作。为了可靠地从大数据中提取洞察力，学生需要学习新的技能，其中许多技能跨越多个学科，因此不一定能通过标准课程和课程获得。在2012-2013学年，各大学开设了一系列课程来传授必要的知识。计划中的研讨会将使教育工作者能够分享从这些课程中获得的见解并做出调整。讲习班的总结报告将使这些见解得到更广泛的利用。

The National Academies will plan and organize a cross-disciplinary public workshop to explore perspectives on the training that students from diverse fields need in order to extract value from Big Data. The workshop will identify key skills that are needed to prepare students for analyzing Big Data. It will consider the needs of industry, academia, and government and build on the experience gained from emerging courses and curricula for this topic. Invited participants to the workshop will include experts in statistics, machine learning, databases, large-scale computing systems, streaming computing, user domains, health and biological informatics, and industry.Many traditional methods for data analysis do not work, or do not work well, with the massive amounts of data emerging in numerous endeavors. In order to reliably extract insight from Big Data, students need to learn new skills, and many of those skills cut across multiple disciplines and, thus, are not necessarily accessible through standard courses and curricula. During the academic year 2012-2013, a number of courses were introduced at various universities to impart the needed understanding. The planned workshop will enable educators to share insights gained from these courses and make adjustments. A summary report of the workshop will make these insights available more broadly.