IGERT-CIF21: Big Data U: A Program for Integrated Multidisciplinary Education and Research for Big Data Science

IGERT-CIF21：大数据 U：大数据科学综合多学科教育和研究计划

• 批准号: 1258485
• 负责人: Magdalena Balazinska
• 金额: $ 280万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1258485&HistoricalAwards=false
• 关键词: IGERT; CIF21; Big; Data; Program

This Integrative Graduate Education and Research Traineeship (IGERT) award provides Ph.D. students at the University of Washington with multidisciplinary training in computer science, statistics, and domain sciences (oceanography, astronomy, chemistry, and genome sciences). Through this blended approach, trainees will learn how to manage, analyze, and visualize increasingly large amounts of data (known as ?Big Data?), thereby being prepared to address the challenges of cyberinfrastructure in the 21st century. Intellectual Merit: By developing a new Ph.D. program that involves partnerships with 11 leading companies and national labs in the field of Big Data, this program provides trainees with a collaborative approach to processing, scaling, and modeling massive and complex data sets for the scientific community. Trainees learn to create new statistical and machine learning techniques needed to manage large data sets. Additionally, this program builds an open-source system for scientists worldwide to access and analyze Big Data through a Cloud service. Broader Impacts: This IGERT traineeship program aims to create a new Big Data curriculum that will be delivered online and through University of Washington outreach initiatives. The program also prepares a new generation of scientists with the interdisciplinary tools to approach problems that will arise in the field of cyberinfrastructure. Moreover, this program promotes the development of a diverse STEM workforce by recruiting and training underrepresented groups, women, and students with disabilities, particularly through a partnership with the AccessComputing Alliance and the University of Washington DO-IT program.IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to establish new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries, and to engage students in understanding the processes by which research is translated to innovations for societal benefit.

这项综合研究生教育和研究实习生（IGERT）奖提供了博士学位。华盛顿大学的学生接受了计算机科学，统计和领域科学（海洋学，天文学，化学和基因组科学）的多学科培训。通过这种混合方法，学员将学习如何管理，分析和可视化越来越多的数据（称为“大数据？”），从而准备应对21世纪的网络基础设施的挑战。智力优点：通过开发新的博士学位。该计划涉及与大数据领域的11家领先公司和国家实验室建立合作伙伴关系，该计划为受训者提供了一种协作方法，以为科学界的处理，扩展和建模大规模且复杂的数据集。受训人员学会创建管理大型数据集所需的新统计和机器学习技术。此外，该计划为全球科学家建立了一个开源系统，以通过云服务访问和分析大数据。更广泛的影响：该IGERT实习计划旨在创建一个新的大数据课程，该课程将在线和华盛顿大学推广计划进行。该计划还为新一代科学家准备了跨学科的工具，以解决在网络基础设施领域将出现的问题。此外，该计划通过招募和培训代表性不足的团体，妇女和残疾学生，尤其是通过与访问计算联盟和华盛顿大学DO-IT计划的合作来促进多样化的STEM劳动力的发展。具有跨学科背景的科学家和工程师，所选学科的深刻知识以及未来职业需求所需的技术，专业和个人技能。该计划旨在在肥沃的环境中建立新的模型，用于超越传统纪律界限的合作研究，并吸引学生理解研究的过程转化为以社会利益的创新过程。