Collaborative Research: Human-Centered Computing Scholars: Need-based, Extensive Support Through Degree Completion

协作研究:以人为本的计算学者:通过学位完成提供基于需求的广泛支持

基本信息

  • 批准号:
    1833908
  • 负责人:
  • 金额:
    $ 92.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-05-15 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Development of a diverse, globally competitive STEM workforce remains an important national priority. At present, this need is especially pressing in the areas of computer/ information science and engineering. Research has shown that, in comparison to students in other STEM fields, more computing/information science students are from families with incomes in the bottom 25% of the population. This five-year project will address the need for highly-qualified computer/information professionals by supporting thirty high-achieving, low-income students with demonstrated financial need who are pursuing doctorate degrees in computing fields. By providing up to five years of scholarship support, as well as mentoring and professional development support, the program aims to overcome four barriers faced by low-socioeconomic status students in PhD programs: (1) financial concerns; (2) negative psychological effects; (3) inadequate advisement; and (4) unequal socialization efforts. The project expects that the graduates will enter STEM jobs in industry, government, or academia within 12 months of graduation. Thus, this project will help to develop a diverse, highly-qualified computing workforce.The project builds upon previous NSF awards and existing resources for student recruitment, community building, and STEM workforce development. This project includes newer programming in which Scholars will form a unified cohort as the backbone of their support, supplemented by faculty mentoring, relevant academic and professional development workshops, external support, demographic-specific support for intersectional identities, and sustained engagement past the PhD through an online career tracking portal. Faculty development activities are also included to help improve the climate for diverse students and faculty within the Computer and Information Science and Engineering (CISE) Department. The objectives of the project are to 1) improve the retention and graduation rates of low-income students in PhD programs in the CISE Department, 2) equip Scholars to obtain STEM employment within 12 months of graduation, and 3) improve the culture and climate for diversity and inclusion for PhD students within the CISE Department. The project will advance knowledge concerning computer science identity and research identity, while also addressing gaps in the literature regarding the measurement of computer science identity of graduate students. This project will also generate new knowledge concerning how graduate students' economic status and college campus climate relate to both computer science and research identities. This information can help institutions better understand associations between these critical factors and student outcomes to improve graduate education in computer/information science and engineering. This project is funded by NSF's Scholarships in Science, Technology, Engineering and Mathematics Program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future scientists, engineers, and technicians, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.
发展多样化的全球竞争性STEM劳动力仍然是重要的国家优先事项。 目前,在计算机/信息科学和工程领域尤其紧迫。 研究表明,与其他STEM领域的学生相比,更多的计算/信息科学专业的学生来自最近25%的人口收入的家庭。 这个为期五年的项目将通过支持30名高分,低收入的学生在计算领域攻读博士学位的高分,低收入的学生,以满足高度合格的计算机/信息专业人士的需求。 通过提供多达五年的奖学金支持以及指导和专业发展支持,该计划旨在克服博士课程中低社会经济地位学生面临的四个障碍:(1)财务问题; (2)负面心理影响; (3)建议不足; (4)不平等的社会化工作。 该项目预计,毕业生将在毕业后的12个月内从事工业,政府或学术界的STEM工作。因此,该项目将有助于开发多样化,合格的计算员工。该项目基于以前的NSF奖项和现有的学生招聘,社区建设和STEM劳动力发展的资源。该项目包括较新的编程,其中学者将形成一个统一的队列,作为其支持的骨干,并由教师指导,相关的学术和专业发展研讨会,外部支持,对人口统计学特定的人口统计学的支持,对交叉界面的特定支持以及通过在线职业跟踪门户网站通过博士学位的持续参与。还包括教师发展活动,以帮助改善计算机和信息科学与工程(CISE)部门内不同学生和教职员工的气候。 该项目的目标是1)提高CISE部门博士学位课程中低收入学生的保留率和毕业率,2)设备学者在毕业后12个月内获得STEM就业,3)改善了Cise系中博士生的多样性和多样性和包容性文化和气候。该项目将促进有关计算机科学身份和研究身份的知识,同时还解决了文献中有关研究生计算机科学标识的差距。该项目还将产生有关研究生的经济状况和大学校园气候与计算机科学和研究身份之间如何相关的新知识。这些信息可以帮助机构更好地了解这些关键因素与学生成果之间的关联,以改善计算机/信息科学与工程学领域的研究生教育。 该项目由NSF在科学,技术,工程和数学计划方面的奖学金提供资金,该计划旨在增加具有证明经济需求的低收入学术才华的学生人数,他们在STEM领域获得了学位。 它还旨在改善未来科学家,工程师和技术人员的教育,并为低收入学生的学术成功,保留,转移,毕业以及学术/职业途径提供知识。该奖项反映了NSF的法定任务,并认为通过使用该基金会的知识分子和更广泛的影响来评估CRITERIA的评估。

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)
Complementing National Retention Efforts in Computer Science with Local Support
通过当地支持补充国家在计算机科学领域的保留工作
  • DOI:
    10.1109/respect51740.2021.9620691
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    McMullen, Kyla A.;Waisome, Jeremy A.;Hirsh, Makenzie;Gardner-McCune, Christina
  • 通讯作者:
    Gardner-McCune, Christina
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Kyla McMullen其他文献

Kyla McMullen的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Kyla McMullen', 18)}}的其他基金

CAREER: Audio RESCUE: Realistic Audio for RESponders in Complex Undetermined Environments
职业:音频救援:在复杂的不确定环境中为响应者提供逼真的音频
  • 批准号:
    1845324
  • 财政年份:
    2019
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Continuing Grant
CHS: Small: Collaborative Research: 3D Audio Augmentation for Limited Field of View Augmented Reality Systems for Medical Training
CHS:小型:协作研究:用于有限视场的 3D 音频增强医疗培训增强现实系统
  • 批准号:
    1718085
  • 财政年份:
    2017
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant

相似国自然基金

人类ACE2变构抑制剂的成药性及其抗广谱冠状病毒感染的机制研究
  • 批准号:
    82330111
  • 批准年份:
    2023
  • 资助金额:
    220 万元
  • 项目类别:
    重点项目
PHACTR4重要变异通过磷酸酶PP1参与人类神经管畸形发生的机制研究
  • 批准号:
    82301930
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
通往人类智能增强:医疗场景中以人为中心的人智交互设计及其效果研究
  • 批准号:
    72301279
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于人类血清素神经元报告系统研究TSPYL1突变对婴儿猝死综合征的致病作用及机制
  • 批准号:
    82371176
  • 批准年份:
    2023
  • 资助金额:
    49 万元
  • 项目类别:
    面上项目
基于动作表示与生成模型及人类反馈强化学习的智能运动教练研究
  • 批准号:
    62373183
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
  • 批准号:
    2331294
  • 财政年份:
    2024
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Small: A Privacy-Aware Human-Centered QoE Assessment Framework for Immersive Videos
协作研究:NetS:小型:一种具有隐私意识、以人为本的沉浸式视频 QoE 评估框架
  • 批准号:
    2343619
  • 财政年份:
    2024
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant
Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience
合作研究:CPS:NSF-JST:实现以人为本的数字孪生,提高社区复原力
  • 批准号:
    2420846
  • 财政年份:
    2024
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant
Collaborative Research: Merging Human Creativity with Computational Intelligence for the Design of Next Generation Responsive Architecture
协作研究:将人类创造力与计算智能相结合,设计下一代响应式架构
  • 批准号:
    2329759
  • 财政年份:
    2024
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant
Collaborative Research: Merging Human Creativity with Computational Intelligence for the Design of Next Generation Responsive Architecture
协作研究:将人类创造力与计算智能相结合,设计下一代响应式架构
  • 批准号:
    2329760
  • 财政年份:
    2024
  • 资助金额:
    $ 92.25万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了