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HDR DSC: Collaborative Research: Central Coast Data Science Partnership: Training a New Generation of Data Scientists

HDR DSC: Collaborative Research: Central Coast Data Science Partnership: Training a New Generation of Data Scientists
HDR DSC:合作研究:中央海岸数据科学合作伙伴:培训新一代数据科学家
批准号:
1924008
负责人:
Jonathan Ventura
金额:
$24.36万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2023-12-31

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中文摘要
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英文摘要
Due to the societal and technological advances made possible by data-driven science, there is a strong demand for professionals versed in the tools and techniques needed for manipulating and understanding data. This project will develop an undergraduate curriculum in data science that spans and connects the three main public higher education systems in California: the research-driven University of California system, the practical and career-oriented California State University system, and the two-year California Community Colleges. The collaborative program will establish pathways for data science training through coursework and real-world projects. This project will impact students from diverse social, ethnic, cultural, and economic backgrounds and will improve the feeder pipelines from two-year colleges to four-year universities. This multi-campus approach to building a data science training program will foster collaborations for training a diverse workforce in data science. The resulting course materials and project outcomes will be made available so that other institutions can adopt best practices.The partnership consists of four academic institutions on the West Coast: University of California, Santa Barbara (UCSB), California Polytechnic State University, San Luis Obispo (Cal Poly), Santa Barbara City College (SBCC), and California State University, San Bernardino (CSUSB). The alliance will expand training at UCSB and Cal Poly by building on existing strengths through a sequence of new capstone courses, as well as lay the groundwork for data science curriculum development at SBCC and CSUSB, whose students will participate in a summer internship program at UCSB. Over 100 undergraduate students will be supported by stipends during the course of the project. The developed courses will emphasize programming and data inference within the context of application domains that is critical to training in data science. Students will be taught the underlying principles of data science, including data-generating processes and the role of measurement, ethics and privacy, information-processing tools for harnessing the power of big data, and the oral and written communication skills necessary for pursuing effective professional careers in the field. The program will culminate in a year-long capstone course for seniors, who will synthesize and apply previously learned data science tools and techniques in a large-scale project in a chosen domain area.NSF's Harnessing the Data Revolution Data Science Corps program focuses on building capacity for harnessing the data revolution at the local, state, national, and international levels to help unleash the power of data in the service of science and society. Projects in this program are being jointly funded by the NSF's Harnessing the Data Revolution Big Idea; the Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems; the Directorate for Education and Human Resources, Division of Undergraduate Education; the Directorate for Mathematical and Physical Sciences, Division of Mathematical Sciences; and the Directorate for Social, Behavioral and Economic Sciences, Office of Multidisciplinary Activities and Division of Behavioral and Cognitive Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Automatic News Article Generation from Legislative Proceedings: A Phenom-based Approach
从立法程序中自动生成新闻文章:基于 Phenom 的方法
DOI: --
发表时间: 2021
期刊: Statistical Language and Speech Processing
影响因子: --
作者: [Klimashevskaia, Anastasiia, Gadgil, Richa, Gerrity, Thomas, Khosmood, Foaad, Gütl, Christian, Howe, Patrick]
通讯作者: Howe, Patrick
PanoSynthVR: View Synthesis From A Single Input Panorama with Multi-Cylinder Images
PanoSynthVR:从单输入全景图与多圆柱图像进行视图合成
DOI: 10.1145/3450618.3469144
发表时间: 2021
期刊: SIGGRAPH '21: ACM SIGGRAPH 2021 Posters
影响因子: --
作者: [Gadgil, Richa, John, Reesa, Zollmann, Stefanie, Ventura, Jonathan]
通讯作者: Ventura, Jonathan
Discussing the History of Ideas in a Data Science Seminar
在数据科学研讨会上讨论思想史
DOI: 10.1145/3545947.3576274
发表时间: 2023
期刊: SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education
影响因子: --
作者: [Anderson, Paul, Bodwin, Kelly, Dekhtyar, Alex, Glanz, Hunter, Khosmood, Foaad, Stanchev, Lubomir, Sun, Dennis L., Ventura, Jonathan]
通讯作者: Ventura, Jonathan
DOI: 10.1109/ismar55827.2022.00075
发表时间: 2022-10
期刊: 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
影响因子: --
作者: [John Waidhofer;Richa Gadgil;Anthony Dickson;S. Zollmann;Jonathan Ventura]
通讯作者: John Waidhofer;Richa Gadgil;Anthony Dickson;S. Zollmann;Jonathan Ventura
CAREER: RUI: CasualVR: Casual Capture of Dynamic Virtual Reality Environments
CRII: RI: High-Speed Vision-Based Motion Estimation
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