IGERT-CIF21: Interdisciplinary Graduate Education Research and Training in Network Science

IGERT-CIF21：网络科学跨学科研究生教育研究和培训

• 批准号: 1258507
• 负责人: Ambuj Singh
• 金额: $ 279.99万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-15 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1258507&HistoricalAwards=false
• 关键词: IGERT; CIF21; Interdisciplinary; Graduate; Education

This Integrative Graduate Education and Research Traineeship (IGERT) award provides Ph.D. students at the University of California at Santa Barbara with the skills to design more efficient and robust empirical networks based on their analyses of large data sets derived from existing networks. By training students to examine multiple types of networks, such as genetic, economic, and social networks, this program aims to advance the field of Network Science. Intellectual Merit: This traineeship program is a collaboration among seven graduate departments (Computer Science, Communication, Ecology, Evolution & Marine Biology, Electrical & Computer Engineering, Geography, Mechanical Engineering, and Sociology), which will enable trainees to learn computational methods to engineer, control, measure, and predict the dynamics of large networks. Through the program?s Network Science Laboratory, trainees will participate in team-based modules and obtain hands-on experience with software, empirical data sets, and interdisciplinary science. Additionally, trainees will participate in weekly seminars, summer internships, workshops, and an innovation program focused on problem solving and creative thinking.Broader Impacts: By providing students with interdisciplinary training in Network Science, this program will advance the emerging field of Network Science and will serve as a model for similar academic programs across the nation. Moreover, this program aims to recruit, retain, and mentor 70% women and underrepresented minority students from University of California at Santa Barbara undergraduates as well as students from four partner institutions: California State University at San Bernardino, California State University at Los Angeles, University of California at Merced, and University of New Mexico, all of which are Hispanic Serving Institutions. 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.

这一综合性研究生教育和研究培训(IGERT)奖项为加州大学圣巴巴拉分校的博士生提供了基于对来自现有网络的大型数据集的分析，设计更高效和更稳健的经验网络的技能。通过培训学生研究多种类型的网络，如遗传网络、经济网络和社会网络，本课程旨在推动网络科学领域的发展。智力优势：这个实习项目是七个研究生系(计算机科学、通信、生态学、进化与海洋生物学、电气与计算机工程、地理学、机械工程和社会学)之间的合作，使学员能够学习设计、控制、测量和预测大型网络动态的计算方法。通过S网络科学实验室项目，学员将参与基于团队的模块，并获得软件、经验数据集和跨学科科学的实践经验。此外，学员将参加每周的研讨会、暑期实习、研讨会和一个专注于解决问题和创造性思维的创新项目。广泛影响：通过为学生提供网络科学的跨学科培训，该项目将推动新兴的网络科学领域的发展，并将成为全国类似学术项目的典范。此外，该计划旨在从加州大学圣巴巴拉分校招收、留住和指导70%的女性和代表不足的少数族裔学生，以及来自四所合作机构的学生：加州州立大学圣贝纳迪诺分校、加州州立大学洛杉矶分校、加州大学默塞德分校和新墨西哥大学，所有这些机构都是拉美裔服务机构。IGERT是一个NSF范围内的项目，旨在应对培养具有跨学科背景、所选学科的深厚知识以及满足未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在建立新的研究生教育和培训模式，为超越传统学科界限的合作研究创造一个肥沃的环境，并让学生了解将研究转化为创新以造福社会的过程。