NSF INCLUDES DDLP: SPICE (Supporting Pacific Indigenous Computing Excellence) Data Science Program for Native Hawaiians and Pacific Islanders

NSF 包括 DDLP:针对夏威夷原住民和太平洋岛民的 SPICE(支持太平洋本土计算卓越)数据科学计划

基本信息

  • 批准号:
    1744526
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 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:
    2017-09-15 至 2020-08-31
  • 项目状态:
    已结题

项目摘要

The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
得克萨斯大学奥斯汀分校得克萨斯高级计算中心、火奴鲁鲁夏米诺大学(CUH)和佐治亚理工学院将领导这项NSF包括设计和开发启动试点(DDLP),以建立夏威夷原住民和太平洋岛民(NHPI)学生在高中和本科水平上的数据科学准备模式。该项目的前提是NHPI社区能够获得大型数据集并与之合作,以解决太平洋地区新出现的问题。这种与太平洋问题相关的“大数据”集合的机构,以及数据科学、分析和可视化方面的当代技能,有可能对社区改进工作产生变革作用。这项工作有可能促进知识、教学方法和实践,以提高NHPI高中生和本科生在STEM教育和职业中的表现和吸引力。该项目团队将致力于:1)通过暑期沉浸体验提高NHPI高中生和本科生对数据科学和可视化的兴趣和熟练程度,将计算与文化联系起来;2)通过创建证书计划,在NHPI服务的本科生机构(CUH)建立数据科学能力;以及3)发展和扩大与具有相关目标的其他组织的合作伙伴关系。为期一个月的暑期培训20名NHPI大学生和5名NHPI高中生在CUH进行,重点是数据科学、可视化和虚拟现实,包括处理需要数据科学方法的问题集,并纳入与地理、社会和文化相关的研究主题。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The Role Cultural Competency Plays in Teaching Data Science
文化能力在数据科学教学中的作用
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Kelly Gaither其他文献

ICASE/LaRC Symposium on Visualizing Time-Varying Data
ICASE/LaRC 时变数据可视化研讨会
  • DOI:
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Banks;T. Crockett;K. Stacy;bullet Hampton;Virginia K Stacy;N. Max;B. Becker;D. Banks;Mississippi;T. Crockett;Kathy Stacy;D. Banks;K. Stacy;Mary Adams;T. Crockett;Kwan;K. Severance;Lambertus Hesselink;R. Crawfis;Lawrence;Chuck Hansen;Duane Melson;L. Treinish;R. Haimes;Massachusetts;N. Max;Velvin Watson;Randy L. Ribler;Anup Mathur;Marc Abrams;Pak Chnng Wong;R. D. Bergeron;Will H Scullin;T. T. Kwan;Daniel A Reed;Eric J Davies;William B Cowan;B. Becket;Vineet Goel;Amar Mukherjee;R. Moorhead;Zhifan Zhu;Kelly Gaither;John Vanderzwagg;Tzi;William Mattson;Rick Angelini;Larry Matthias;Paula Detweiler;James Patten;G. Erlebacher;Richard J Schwartz;T. Crockett;William J Bent;R. Wilmoth;Bart A Singer;Patricia J. Crossno;M. Cheng;M. Livny;R. Ramakrishnan;Will Bene;Bart A Singer
  • 通讯作者:
    Bart A Singer

Kelly Gaither的其他文献

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{{ truncateString('Kelly Gaither', 18)}}的其他基金

Collaborative Research: NSF INCLUDES Alliance: Alliance Supporting Pacific Impact through Computational Excellence (ALL-SPICE)
合作研究:NSF 包括联盟:通过卓越计算支持太平洋影响力联盟 (ALL-SPICE)
  • 批准号:
    2217227
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Cooperative Agreement
SCH: INT: Individualizing Care in Pregnancy and Childbirth through Digital Phenotyping
SCH:INT:通过数字表型分析实现妊娠和分娩的个性化护理
  • 批准号:
    1838901
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Enabling Transformational Science and Engineering Through Integrated Collaborative Visualization and Data Analysis for the National User Community
通过集成协作可视化和数据分析为全国用户社区实现变革性科学与工程
  • 批准号:
    0906379
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
SCoReViS: Scalable Collaborative and Remote Visualization Software
SCoReViS:可扩展的协作和远程可视化软件
  • 批准号:
    0751397
  • 财政年份:
    2008
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
The Future of Data Analysis and Visualization as a Knowledge Discovery Tool in Science and Engineering
数据分析和可视化作为科学和工程知识发现工具的未来
  • 批准号:
    0751267
  • 财政年份:
    2007
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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