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

跨大西洋大数据研究与创新及劳动力发展公私伙伴关系研讨会

• 批准号: 1759041
• 负责人: Lea Shanley
• 金额: $ 9.99万
• 依托单位: University of North Carolina at Chapel Hill
• 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: 2017-11-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759041&HistoricalAwards=false
• 关键词: Trans; Atlantic; Workshop; Public; Private

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.

NSF大数据创新枢纽（大数据枢纽）将于2017年11月20日与欧洲大数据价值论坛2017年11月20日在法国凡尔赛组织组织和共同赞助大西洋跨大西洋的跨大西洋研讨会。 （http://www.european-big-data-value-forum.eu），并与欧盟大数据价值协会，毕加索项目和Inria合作，并努力组织其他研讨会，以确保我们与欧盟研究人员之间的持续对话，以召集欧盟的目标。支持大数据/数据科学研究和创新方面的学术行业合作研究计划的模型和实践，特别关注智能城市，运输，健康，环境和食品能 - 含量的智能城市应用领域中的公私伙伴关系（PPP）； （2）确定直接双边研究和创新合作的机会（在项目层面以及个人研究人员之间）以及美国与欧盟之间的数据共享，尤其是在NSF Big Data Hub＆Spokek Projects和欧洲BDV PPP PPP灯塔项目之间沿着上面列出的垂直行业； （3）讨论了与发展的数据科学学术纪律桥接数据科学劳动力需求的有效模型和实践。美国和欧盟研究人员之间计划会议讨论大数据研究和应用领域的优先事项，并计划潜在的后续工作室。 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.这种对话将对（1）建立有效的公私伙伴关系的有效的公私合作伙伴关系，对大型数据搜索和创新进行有效的公私合作伙伴关系，并（2）建立数据科学课程，以满足跨大西洋活动的重要性跨越重要的数据，这是一个关键的研究，这是一个重要的研究，这是（2）建立对互补的方法，技术和政策的更深入了解。创新，促进美国欧盟的合作以及对国际数据集的访问。此外，它将重点介绍美国联邦大数据战略研发计划与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，这可以为潜在资助的大数据/数据科学研究和创新中潜在的共同资助的跨大西洋跨大西洋合作提供依据。该研讨会还将允许参与组织探索共享可用于劳动力发展的大数据教育计划的开源数据收集和与行业相关的课程。