Translational Data Science - Industry / Academic Confluence (TDS-IAC)

转化数据科学 - 行业/学术融合 (TDS-IAC)

• 批准号: 1802878
• 负责人: David Culler
• 金额: $ 4.82万
• 依托单位: University of California-Berkeley
• 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 2018-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1802878&HistoricalAwards=false
• 关键词: Translational; Data; Science; Industry; Academic

With the increased availability, prominence, and applicability of data in all of our lives, the emergingfield of Translational Data Science is critical to harnessing societal benefit from advances in data-relatedscientific disciplines. The unprecedented growth in the creation and use of data offers new opportunitiesfor fostering more effective bridges between researchers, industry and government colleagues, and adiverse community to enable new scientific progress and tangible advances for societal benefit. This workshop will focus on academic research and industry expertise to further cooperation and partnerships.Translational data science is an emerging field that applies data science principles, techniques, andtechnologies to scientific challenges that hold the promise of having an important societal impact. Itfocuses on the interface and interactions between foundational aspects of data science and their use inadvancing scientific frontiers. By convening a diverse community of stakeholders who can contribute to the strategic development of a Translational Data Science roadmap, this workshop will build and strengthen connections across sectors. The perspectives and insights shared from industry, government, nonprofits, and academia, coupled with discussions focused on actionable challenges and measurable outcomes, will serve to advance the field of data science as well as related fields and application areas. The workshop provides a mechanism for identifying high-priority topics and high-impact opportunities for future research, training, and collaboration.

随着数据在我们生活中的可用性、重要性和适用性不断提高，转化数据科学这一新兴领域对于利用数据相关科学学科的进步带来社会效益至关重要。数据创建和使用的空前增长为在研究人员、行业和政府同事以及不同社区之间建立更有效的桥梁提供了新的机会，以实现新的科学进步和切实的进步，从而造福社会。 本次研讨会将重点关注学术研究和行业专业知识，以进一步加强合作和伙伴关系。转化数据科学是一个新兴领域，它将数据科学原理、技巧和技术应用于科学挑战，有望产生重要的社会影响。它重点关注数据科学的基础方面及其在推进科学前沿的应用之间的接口和相互作用。通过召集能够为转化数据科学路线图的战略发展做出贡献的多元化利益相关者社区，本次研讨会将建立和加强跨部门的联系。来自行业、政府、非营利组织和学术界的观点和见解，再加上针对可操作挑战和可衡量结果的讨论，将有助于推动数据科学领域以及相关领域和应用领域的发展。该研讨会提供了一种机制，用于确定未来研究、培训和合作的高优先主题和高影响力机会。