Workforce Development: Graduate Data Science Workshop & Community Building

华盛顿大学将主办一个全国性的研讨会，数据科学学科的研究生将在其中互动，探索协作环境中数据科学的重大挑战。该项目将实施一种新的想法，并通过吸引研究生、学术界和工业界的参与来促进对如何发展数据科学社区的理解。它还满足了国家对具有数据科学跨学科培训的研究人员的重要需求，并成为其他机构在整个课程中更广泛地整合数据科学技能的催化剂。该项目的目标是帮助创建一支高度互联的劳动力队伍，擅长跨学科沟通和想法合成，为解决新一代数据科学和大数据挑战做好准备。为了实现这一目标，研究人员将为大约100名与会者举办为期2.5天的研讨会，旨在(1)向研究生介绍新的数据科学概念和应用，(2)使学生能够与来自行业、领域和方法领域的专家互动，以及(3)通过团队建设活动启动专业社区的建立。调查人员将在讲习班前开展宣传活动，并开发一个网站，用户可以在网站上联系和分享他们的想法。研讨会结束后，将向公众提供一套白皮书、团队报告和研讨会报告。

The University of Washington will host a national workshop where graduate students in data science disciplines will interact to explore data science grand challenges in a collaborative environment. The project will implement a novel idea and advance the understanding of how to develop data science communities by engaging graduate students, academia, and industry. It also addresses an important national need for researchers with cross-disciplinary training in data science and serves as a catalyst for other institutions to integrate data science skills more broadly throughout the curriculum. The goal of the project is to help create a highly connected workforce that is adept at cross-disciplinary communication and idea synthesis, primed to solve a new generation of data science and big data challenges. To accomplish this goal, the investigators will conduct a 2.5-day workshop for approximately 100 attendees that is designed to (1) introduce graduate students to new data science concepts and applications, (2) enable students to interact with experts from industry, domain, and methodology fields, and (3) initiate the establishment of a professional community using team building activities. The investigators will conduct a pre-workshop promotional campaign and develop a web site where users can connect and share their ideas. Following the workshop, a set of white papers, team reports, and a workshop report will be available to the public.