Beginnings: Sensor Technology as a Vehicle to Cultivate Experiential Learning for Emerging and Novel Technologies

起点:传感器技术作为培养新兴新技术体验式学习的工具

基本信息

  • 批准号:
    2322772
  • 负责人:
  • 金额:
    $ 87.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Cooperative Agreement
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2026-09-30
  • 项目状态:
    未结题

项目摘要

This project aims to serve the national interest by training a skillful workforce to meet the growing technology challenges delineated in the CHIPS and Science Act of 2022. Sensor technology is among the fastest-developing branches in modern technology and contributes to all aspects of industrial applications. The transformation in miniature, intelligent and convoluted sensor systems will enable scientific and engineering innovations in the defense, space, civil, health, and environmental technology sectors. To embrace such a transformation, Illinois Tech’s ExLENT project, through the International Center for Sensor Science and Engineering (ICSSE), assembled a team of experts to provide cross-disciplinary, experiential training in combined areas of advanced manufacturing, artificial intelligence, biotechnology, environmental control, semiconductor and microelectronics.The goal of the project is to prepare underserved groups, particularly veterans, and underrepresented populations in STEM with the technical capability to tackle the multifaceted challenges in the sensor technology sector. The project consists of education and mentored research in sensor technology in an academic setting, followed by related industrial internship training. Specifically, through a 9-credit certificate program, Illinois Tech’s ExLENT project offers dedicated mentorship, hands-on training, and one-on-one collaborative career support through faculty mentors, industrial partners, and Veterans Administration (VA) associated organizations. Of note, the project will afford veterans unique opportunities for reskilling/upskilling and reintegrating into civilian society, creating a strong career path into the emerging technology workforce. This project aligns with the NSF ExLENT program, funded by the NSF TIP and EDU Directorates, as it seeks to support experiential learning opportunities for individuals from diverse professional and educational backgrounds to increase their interest in, and their access to, career pathways in emerging technology fields.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.
该项目旨在通过培训熟练的劳动力来满足国家利益,以应对2022年CHIPS和科学法案中描述的日益增长的技术挑战。传感器技术是现代技术中发展最快的分支之一,有助于工业应用的各个方面。微型、智能和复杂传感器系统的转型将使国防、空间、民用、健康和环境技术领域的科学和工程创新成为可能。为了迎接这一转变,伊利诺伊理工大学的ExLENT项目通过国际传感器科学与工程中心(ICSSE)组建了一个专家团队,在先进制造、人工智能、生物技术、环境控制、半导体和微电子等综合领域提供跨学科的体验式培训。该项目的目标是为服务不足的群体,特别是退伍军人,以及STEM领域代表性不足的人群,他们具有应对传感器技术领域多方面挑战的技术能力。该项目包括在学术环境中进行传感器技术的教育和指导研究,然后是相关的工业实习培训。具体来说,通过9学分的证书计划,伊利诺伊理工大学的ExLENT项目提供专门的指导,动手培训,并通过教师导师,行业合作伙伴和退伍军人管理局(VA)相关组织一对一的协作职业支持。值得注意的是,该项目将为退伍军人提供重新培训/提高技能和重新融入平民社会的独特机会,为新兴技术劳动力创造强大的职业道路。该项目与由NSF TIP和EDU理事会资助的NSF ExLENT计划保持一致,因为它旨在支持来自不同专业和教育背景的个人的体验式学习机会,以增加他们对以下内容的兴趣和访问机会:该奖项反映了NSF的法定使命,并通过使用基金会的智力价值进行评估,被认为值得支持和更广泛的影响审查标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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

{{ 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 }}

Rong Wang其他文献

Nb-incorporated Fe (Oxy)hydroxide Derived from Structural Transformation for Efficient Oxygen Evolution Electrocatalysis
结构转变衍生的掺铌铁(氧)氢氧化物,用于高效析氧电催化
  • DOI:
    10.1039/d0ta08446h
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    11.9
  • 作者:
    Chizhong Wang;Rong Wang;Yue Peng;Jianjun Chen;Zhen Chen;Haibo Yin;Junhua Li
  • 通讯作者:
    Junhua Li
Rovibrational State-Selectivity in Photoassociation through Multi-photon Transitions
通过多光子跃迁光缔合的旋转振动态选择性
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rong Wang;M. Qiu;J. Xiu
  • 通讯作者:
    J. Xiu
Plasma cytokine profiling to predict susceptibility to acute mountain sickness
血浆细胞因子分析可预测急性高山病的易感性
  • DOI:
    10.1684/ecn.2016.0383
  • 发表时间:
    2016-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hui Lu;Rong Wang;Wenbin Li;Hua Xie;Chang Wang;Ying Hao;Yuhuan Sun;Zhengping Jia
  • 通讯作者:
    Zhengping Jia
Why Do U.S. Firms Invest Less Over Time
为什么美国公司的投资随着时间的推移而减少
  • DOI:
    10.2139/ssrn.2564451
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Fangjian Fu;Sheng Huang;Rong Wang
  • 通讯作者:
    Rong Wang
Multivariate B-form Hypersurfaces Representation and Application
多元B型超曲面表示及应用

Rong Wang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('Rong Wang', 18)}}的其他基金

NER: Dynamic Behavior of Ligand-Receptor Interactions in Living Cells on the Nanoscale
NER:纳米尺度活细胞中配体-受体相互作用的动态行为
  • 批准号:
    0103080
  • 财政年份:
    2001
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Standard Grant
SBIR Phase I: Low-Cost Thermal Processing of Engineering Materials
SBIR 第一阶段:工程材料的低成本热处理
  • 批准号:
    9560463
  • 财政年份:
    1996
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Standard Grant
Pulse Energy Fabrication of Surface Composites
表面复合材料的脉冲能量制造
  • 批准号:
    8796338
  • 财政年份:
    1987
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Standard Grant
Pulse Energy Fabrication of Surface Composites
表面复合材料的脉冲能量制造
  • 批准号:
    8660293
  • 财政年份:
    1987
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Standard Grant

相似国自然基金

人类NADPH sensor蛋白HSCARG调控机制研究
  • 批准号:
    30930020
  • 批准年份:
    2009
  • 资助金额:
    170.0 万元
  • 项目类别:
    重点项目
基于sensor agent的营养液组分动态测量与建模研究
  • 批准号:
    60775014
  • 批准年份:
    2007
  • 资助金额:
    28.0 万元
  • 项目类别:
    面上项目

相似海外基金

I-Corps: Translation Potential of Head Impact Monitoring with Embedded Sensor Technology in Sports Helmets
I-Corps:运动头盔中嵌入式传感器技术的头部碰撞监测的转化潜力
  • 批准号:
    2416207
  • 财政年份:
    2024
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Standard Grant
ChronoTherm Sensor Technology to Support Chronoculture
ChronoTherm 传感器技术支持计时培养
  • 批准号:
    10089325
  • 财政年份:
    2024
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Collaborative R&D
Electrochemical Sensor Technology for Point-of-Care Diagnostics
用于即时诊断的电化学传感器技术
  • 批准号:
    2883400
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Studentship
The development of sensing technology for discrimination of plant pathogenic bacteria using newly developed smell sensor
利用新开发的气味传感器识别植物病原菌的传感技术的发展
  • 批准号:
    23H02219
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Wireless power transfer technology based on intelligent radio propagation control using only passive elements and a single sensor
仅使用无源元件和单个传感器的基于智能无线电传播控制的无线功率传输技术
  • 批准号:
    23K13328
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Development of sensor technology combining dielectrophoresis and oscillator techniques for sensitive detection and selective collection of microorganisms
开发结合介电泳和振荡器技术的传感器技术,用于微生物的灵敏检测和选择性收集
  • 批准号:
    23KJ1207
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Personalized Networks and Sensor Technology Algorithms of Eating Disorder Symptoms Predicting Eating Disorder Outcomes
个性化网络和传感器技术饮食失调症状的算法预测饮食失调的结果
  • 批准号:
    10652078
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
Novel radar/sensor safety technology for multi-room mental health facilities
适用于多房间精神卫生设施的新型雷达/传感器安全技术
  • 批准号:
    10052099
  • 财政年份:
    2023
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Collaborative R&D
Development of on-demand sensor and monitoring technology based on switchable nanobodies for cell therapy bioprocessing
开发基于可切换纳米体的用于细胞治疗生物加工的按需传感器和监测技术
  • 批准号:
    EP/V040200/1
  • 财政年份:
    2022
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Research Grant
Mathematical modelling and computational methods for imaging and advanced sensor technology
成像和先进传感器技术的数学建模和计算方法
  • 批准号:
    RGPIN-2020-04561
  • 财政年份:
    2022
  • 资助金额:
    $ 87.53万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了