Trans-Atlantic Workshop on Public Private Partnerships for Big Data Research and Innovation and Workforce Development

NSF大数据创新中心（大数据中心）将与2017年欧洲大数据价值论坛（http://www.european-big-data-value-forum.eu）、欧盟大数据价值协会、毕加索项目和INRIA合作，于2017年11月20日在法国凡尔赛举办大数据研究、创新和劳动力发展公私伙伴关系跨大西洋研讨会。并努力组织更多的研讨会，以确保美国和欧盟的研究人员和教育工作者之间的持续对话。第一次研讨会的目标是将来自美国和欧盟（EU）的学术界和工业界参与者聚集在一起：(1)讨论支持大数据/数据科学研究和创新领域的学术界-工业界合作研究项目的有效模式和实践，特别关注智慧城市、交通、卫生、环境和食品-能源-水应用领域的公私伙伴关系（PPP）；(2)确定直接双边研究和创新合作的机会（在项目层面和个人研究人员之间）以及美国和欧盟之间的数据共享，特别是在NSF大数据中心和Spoke项目与欧洲BDV PPP灯塔项目之间；(3)讨论有效的模型和实践，将数据科学劳动力需求与发展中的数据科学学科联系起来。计划在美国和欧盟研究人员之间召开视频会议，讨论大数据研究和应用领域的优先事项，并计划潜在的后续研讨会。从第一次讲习班吸取的经验教训将直接影响和决定今后讲习班的方向和结构，讲习班之后将为今后的会议拟订计划。这项活动的智力价值在于，它将作为一个平台，将美国大数据中心、欧洲大数据价值协会、毕加索项目团队和相关社区聚集在一起，分享他们关于协调数据科学研究和创新活动的成功和痛点的集体知识。这一对话将为以下方面提供对互补方法、技术和政策的更深入理解：(1)建立专注于大数据研究和创新的有效公私合作伙伴关系；(2)建立满足跨领域和大西洋两岸利益相关者需求的数据科学课程。预计这一活动将产生更广泛的重大影响？它代表了围绕大数据研究和创新建立富有成效的跨洲关系的关键一步，促进了美欧合作和获取国际数据集。此外，它将强调美国联邦大数据战略研发计划和欧盟大数据战略研究议程之间的重叠和协同作用，并将优先考虑未来和新兴的研究挑战，这可能会为大数据/数据科学研究和创新方面的潜在联合资助战略跨大西洋合作提供信息。研讨会还将允许参与组织探索共享开源数据收集和大数据教育项目的行业相关课程的机会，这些课程可用于劳动力发展。

The NSF Big Data Innovation Hubs (Big Data Hubs) will organize and co-sponsor a Trans-Atlantic Workshop on Public Private Partnerships for Big Data Research & Innovation and Workforce Development in Versailles, France, on November 20, 2017, in conjunction with the European Big Data Value Forum 2017 (http://www.european-big-data-value-forum.eu), and in cooperation with the EU Big Data Value Association, PICASSO Project, and INRIA, and also work towards organizing additional workshops to ensure a continuing dialogue among US and EU researchers and educators.The goals of the first workshop are to bring together academic and industry actors from the United States and the European Union (EU) to: (1) discuss effective models and practices for supporting academia-industry collaborative research programs in Big Data/data science research and innovation, with particular focus on public-private partnerships (PPP) in the application domains of smart cities, transportation, health, environment, and food-energy-water; (2) identify opportunities for direct bilateral research and innovation collaborations (at the project level and between individual researchers) and data sharing between the US and the EU, especially between the NSF Big Data Hub & Spoke projects and the European BDV PPP Lighthouse projects along the verticals listed above; and (3) discuss effective models and practices for bridging data science workforce needs with the developing academic discipline of data science.Videoconferencing meetings are planned between US and EU researchers to discuss priorities in Big Data research and applications areas, and to plan for potential subsequentworkshops. The lessons learned from the first workshop will directly influence and determine the direction and structure of future workshops, after which plans will be drawn up for those future meetings.The intellectual merit of this activity is that it will serve as a platform for bringing the US Big Data Hubs, European Big Data Value Association, and PICASSO project teams and associated communities together for sharing their collective knowledge about successes and pain points in coordinating data science research and innovation activities. This dialogue will afford a deeper understanding of complementary approaches, technologies and policies for (1) building effective public-private partnerships focused on Big Dataresearch and innovation and (2) establishing data science curricula that satisfies the needs of stakeholders across domains and on both sides of the Atlantic.This activity is expected to have significant broader impact?it represents a critical step in forging a productive transcontinental relationship around Big Data research and innovation, facilitating US-EU collaborations and access to international data sets. In addition, it will highlight overlap and synergies between the US Federal Big Data Strategic R&D Plan and EU Big Data Strategic Research Agenda, and will prioritize future and emerging research challenges, which could inform potential jointly funded strategic trans-Atlantic collaborations in Big Data/data science research and innovation. The workshop also will allow participating organizations to explore opportunities for sharing open-source data collections and industry-relevant curricula of Big Data education programs that can be used for workforce development.