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

第一届美日研讨会促进大数据研究的全球合作；

• 批准号: 1741034
• 负责人: Calton Pu
• 金额: $ 2.5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-15 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1741034&HistoricalAwards=false
• 关键词: 1st; US; Japan; Workshop; Enabling

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).

第一届美日研讨会促进大数据研究的全球合作，来自美国和日本的研究人员齐聚一堂，讨论国际研究合作中的经验、挑战和机遇。该研讨会为两国参与者提供了确定相互合作的机会。研究兴趣利用资源和专业知识来加速智能和互联社区、网络物理系统、人工智能和机器学习的进步该研讨会包括两个轨道以支持广泛的参与：轨道 1，适合具有先前协作经验的参与者。和巨大的潜力推动该领域的发展；以及轨道 2，对于那些没有先前合作经验的人来说，他们可以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描述主要战略领域、关键研究机会的报告进行传播。该研讨会与 2017 年 IEEE 国际分布式计算系统会议 (ICDCS) 同期举办，此次活动以之前的国家科学基金会 (NSF)-日本科学和技术会议为基础。技术机构 (JST) 合作。智能和互联社区、网络物理系统、人工智能和机器学习领域提出了各自的智力挑战，以及它们交叉点的挑战和机遇。具体来说，是所创造的挑战和机遇。通过在全球范围内不断增长的数据、传感器、云和边缘计算以及网络，需要国际研究合作，例如，机器学习和人工智能的进步，以及大型传感器网络（例如物联网阵列）的开发和实施。芝加哥和藤泽可持续智慧城镇日本）可以利用城市规模的数据来提高城市和社区的效率、经济繁荣和安全。研讨会将重点关注超出每个参与者个人能力范围的研究挑战，但通过各参与者之间的有效合作，这些挑战将成为可行的目标。当双方有相似的利益，但具有互补的专业知识和技能时（例如，来自不同但相关的领域，如上述例子），这一点就可以实现。