Collaborative Research: Workshop on Exuberance of Machine Learning in Transport Phenomena

该奖项旨在支持将于2020年2月10日至11日在德克萨斯州达拉斯举行的机器学习在运输现象中的繁荣研讨会。研讨会重点介绍了机器学习在运输现象研究中的应用的现状和未来方向。随着机器学习在所有科学和工程领域的发展，我们观察到世界各地的研讨会、会议和暑期学校的数量迅速增长。本次研讨会的独特之处在于，它汇集了来自运输现象研究各个领域的国家专家，以交流思想，并更好地了解机器学习的局限性和潜力。研讨会计划包括邀请演讲者，他们将提供他们对机器学习，运输现象及其交叉的重要方向的专家观点。它还将涉及相关主题的小组讨论，探索推进该领域的新方法，并确定课程之间的差距，以便有效培训和教育未来一代能够解决这两个学科交叉的重要问题的科学家和工程师。讲习班结束时将编写一份最后报告，其中将包括讲习班的摘要和该领域专家提出的主要建议。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award is to support the Workshop on Exuberance of Machine Learning in Transport Phenomena to be held on February 10-11, 2020 in Dallas, Texas. The workshop focuses on highlighting the current state-of-the-art and future directions on the application of Machine Learning on transport phenomena research. With the growth of Machine Learning in all areas of science and engineering, we have observed a rapid growth in the number of workshops, conferences, and summer schools all over the world. This workshop is unique in which it brings together national experts from all areas of transport phenomena research to exchange ideas, and to establish a better understanding on limitations and potentials of Machine Learning. The workshop program includes invited speakers who will offer their expert views of important directions in Machine Learning, transport phenomena, and their intersection. It will also involve panel discussions on related topics, exploring novel ways to advance the field, and to identify gaps across the curriculum for effective training and education of the future generation of scientists and engineers capable of tackling important problems at the intersection of these two subjects. A Final Report will be prepared at the end of the workshop which will include a summary of the workshop and the major recommendations made by the experts in the field.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.