1st US-Japan Workshop Enabling Global Collaborations in Big Data Research; June, 2017, Atlanta, GA

首届推动大数据研究全球协作的美日研讨会汇集了来自美国(美国)的研究人员和日本讨论国际研究合作的经验、挑战和机遇。研讨会为两国的与会者提供了机会，以确定共同的研究兴趣，利用资源和专业知识加快在智能互联社区、网络物理系统、人工智能和机器学习方面的进展。讲习班包括两个轨道，以支持广泛的参与：第一轨道，面向具有以前的协作经验和推动该领域发展的巨大潜力的参与者；以及第二轨道，面向那些没有以前的协作经验的参与者，他们可能从国际合作提供的多样化培训环境中受益匪浅。研讨会的成果将通过一份报告传播，该报告描述了研讨会期间讨论的主要战略领域、关键研究机会和协作方案，从而使更广泛的研究界受益。研讨会与2017年IEEE分布式计算系统国际会议(ICDC)设在同一地点。这一合作建立在美国国家科学基金会(NSF)和日本科学技术厅(JST)之前的合作基础上。智能和互联社区、网络物理系统、人工智能和机器学习等领域本身存在智力挑战，同时也面临着交叉领域的挑战和机遇。具体地说，全球范围内不断增长的数据、传感器、云计算和边缘计算以及网络带来的挑战和机遇需要国际研究合作。例如，机器学习和人工智能的进步，加上大型传感器网络(例如芝加哥的物联网阵列和日本的藤泽可持续智能小镇)的开发和实施，可以使城市规模的数据提高我们城市和社区的效率、经济繁荣和安全。研讨会将侧重于研究挑战，这些挑战超出了每个参与者的个人能力范围，但通过两国之间的有效合作，这些挑战成为了可行的目标。如果双方拥有相似的兴趣，但具有互补的专门知识和技能(例如，来自不同但相关的领域，如上文提到的例子)，就可以实现这一点。

The 1st US-Japan Workshop Enabling Global Collaborations in Big Data Research brings together researchers from the United States (U.S.) and Japan to discuss experiences, challenges, and opportunities in international research collaborations. The workshop provides opportunities for participants from both countries to identify mutual research interests that leverage resources and expertise to accelerate advancements in smart and connected communities, cyber-physical systems, artificial intelligence, and machine learning. The workshop includes two tracks to support a broad range of participation: track 1, for participants with prior collaboration experience and significant potential to advance the field; and track 2, for those without prior collaboration experience who may benefit significantly from the diverse training environments afforded by international collaborations. The outcomes of the workshop will be disseminated through a report describing the main strategic areas, key research opportunities, and collaboration scenarios discussed during the workshop, thereby benefiting a broader research community. The workshop is co-located with the 2017 IEEE International Conference on distributed Computing Systems (ICDCS). This engagement builds upon prior National Science Foundation (NSF)-Japan Science and Technology Agency (JST) collaborations.The areas of smart and connected communities, cyber-physical systems, artificial intelligence, and machine learning present intellectual challenges of their own, as well as challenges and opportunities at their intersections. Specifically, the challenges and opportunities created by growing data, sensors, cloud and edge computing, and networking at a global scale call for international research collaborations. For example, advances in machine learning and artificial intelligence, paired with the development and implementation of large sensor networks (e.g., Array of Things in Chicago and Fujisawa Sustainable Smart Town in Japan) can enable city-scale data to improve efficiency, economic prosperity, and security in our cities and communities. The workshop will focus on research challenges that are beyond the individual reach of each participant, but that become feasible goals with effective collaboration between the two countries. This can be achieved when both sides share similar interests, but with complementary expertise and skills, (e.g., from different but related areas such as the examples mentioned above).