NRT - Stakeholder Engaged Equitable Decarbonized Energy Futures

NRT - 利益相关者参与的公平脱碳能源期货

基本信息

  • 批准号:
    2244162
  • 负责人:
  • 金额:
    $ 299.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2028-07-31
  • 项目状态:
    未结题

项目摘要

Carbon-based energy sources like coal, gasoline, and diesel contribute to greenhouse gas emissions which are a leading cause of climate change. Efforts to reduce the harm caused by fossil fuel energy generation include renewable technology solutions and policy changes. However, many solutions are expensive, and access to them is unequal. Low-income groups have historically spent a disproportionate amount of their income on energy and may face additional economic burden in the future due to uneven deployment of energy technologies and programs. Developing new clean energy solutions and finding low-cost and equitable ways to deliver them will require a workforce trained to innovate non-carbon energy solutions and integrate them with infrastructures and policies so that environmental, economic, and health benefits can be equitably shared. This future workforce will need to engage with communities to tailor energy solutions to address needs; communicate effectively with stakeholders from industry, policy organizations, and government agencies; and ensure awareness of the environmental, economic, and health implications of clean energy solutions among impacted communities. This National Science Foundation Research Traineeship (NRT) award to Lehigh University will establish a program to train a new class of energy workers with the skills needed for developing and delivering clean, equitable energy solutions via interdisciplinary training in engineering, policy, economics, environmental science, data science, and population health. The project anticipates training 64 trainees, including 24 funded Ph.D. trainees and an additional 40 graduate students who will enroll in certificate programs and participate in research projects.This NRT Program will innovate the training of Ph.D. and Master’s students through stakeholder engagement, equity considerations, and interdisciplinarity to pioneer impactful solutions while developing key skills for energy sector leadership in academia, industry, government agencies, and policy organizations. This will be accomplished through seven novel program pillars: (1) coursework on stakeholder engagement that culminates in an annual student-led stakeholder workshop; (2) a required course on ethics and equity in technology; (3) a multidisciplinary engineering, policy, environmental science, economics, and population health graduate coursework and certificate program; (4) participation in interdisciplinary research teams that target locally based but universally-relevant topics in equitable energy decarbonization and require thesis contributions connecting technology, policy, and stakeholders; (5) required stakeholder-based internships; (6) community building to amplify the project’s vision among a broader student population; and (7) professional development and leadership seminar series to introduce students to a wide range of roles in the energy sector. Program outcomes will be measured by the efficacy in meeting identified learning objectives, workforce preparedness of trainees, and ability to recruit and retain students and address workforce diversity in the energy sector.The NSF Research Traineeship (NRT) program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.
煤、汽油和柴油等碳基能源会导致温室气体排放,而温室气体排放是气候变化的主要原因。减少化石燃料发电造成的危害的努力包括可再生技术解决方案和政策变化。然而,许多解决方案都很昂贵,而且获得这些解决方案的机会也不平等。低收入群体在能源上的支出历来不成比例,由于能源技术和方案的部署不均衡,未来可能面临额外的经济负担。开发新的清洁能源解决方案并找到低成本和公平的方式来实现这些解决方案,需要一支受过培训的劳动力队伍来创新非碳能源解决方案,并将其与基础设施和政策相结合,以便公平地分享环境,经济和健康利益。未来的劳动力将需要与社区合作,定制能源解决方案以满足需求;与行业,政策组织和政府机构的利益相关者进行有效沟通;并确保受影响社区对清洁能源解决方案的环境,经济和健康影响的认识。授予利哈伊大学的美国国家科学基金会研究实习生(NRT)奖将建立一个计划,通过工程、政策、经济学、环境等领域的跨学科培训,培训一类新的能源工作者,使其具备开发和提供清洁、公平能源解决方案所需的技能。科学、数据科学和人口健康。该项目预计培训64名学员,包括24名受资助的博士。培训生和另外40名研究生谁将参加证书课程,并参加研究项目。这个NRT计划将创新博士的培养。和硕士的学生通过利益相关者的参与,公平的考虑,和跨学科的先驱有影响力的解决方案,同时开发在学术界,工业界,政府机构和政策组织的能源部门领导的关键技能。这将通过七个新的计划支柱来实现:(1)利益相关者参与的课程,最终在每年的学生主导的利益相关者研讨会;(2)技术伦理和公平的必修课程;(3)多学科工程,政策,环境科学,经济学和人口健康研究生课程和证书计划;(4)参与跨学科研究团队,以公平能源脱碳中的本地但普遍相关的主题为目标,并要求将技术,政策和利益相关者联系起来的论文贡献;(5)所需的基于非营利组织的实习;(6)社区建设,在更广泛的学生群体中扩大项目的视野;以及(7)专业发展和领导研讨会系列,向学生介绍能源行业的各种角色。该计划的成果将通过在满足确定的学习目标,受训人员的劳动力准备,以及招聘和留住学生和解决能源部门的劳动力多样性的能力的有效性来衡量。NSF研究培训(NRT)计划旨在鼓励开发和实施大胆的,新的潜在变革性的STEM研究生教育培训模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式,在高优先级的跨学科或融合研究领域对STEM研究生进行有效培训。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和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Arindam Banerjee其他文献

Passive and reactive scalar measurements in a transient high-Schmidt-number Rayleigh–Taylor mixing layer
  • DOI:
    10.1007/s00348-012-1328-y
  • 发表时间:
    2012-06-05
  • 期刊:
  • 影响因子:
    2.500
  • 作者:
    Arindam Banerjee;Lakshmi Ayyappa Raghu Mutnuri
  • 通讯作者:
    Lakshmi Ayyappa Raghu Mutnuri
Integral Closure of Powers of Edge Ideals of Weighted Oriented Graphs
  • DOI:
    10.1007/s40306-024-00558-0
  • 发表时间:
    2024-10-17
  • 期刊:
  • 影响因子:
    0.300
  • 作者:
    Arindam Banerjee;Kanoy Kumar Das;Sirajul Haque
  • 通讯作者:
    Sirajul Haque
AmbientFlow: Invertible generative models from incomplete, noisy measurements
AmbientFlow:来自不完整、噪声测量的可逆生成模型
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Varun A. Kelkar;Rucha Deshpande;Arindam Banerjee;M. Anastasio
  • 通讯作者:
    M. Anastasio
Technology acceptance model and customer engagement: mediating role of customer satisfaction
技术接受模型和客户参与:客户满意度的中介作用
Private equity in developing nations
  • DOI:
    10.1057/jam.2008.12
  • 发表时间:
    2008-06-23
  • 期刊:
  • 影响因子:
    1.400
  • 作者:
    Arindam Banerjee
  • 通讯作者:
    Arindam Banerjee

Arindam Banerjee的其他文献

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{{ truncateString('Arindam Banerjee', 18)}}的其他基金

Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
合作研究:基于物理的机器学习用于次季节气候预测
  • 批准号:
    2130835
  • 财政年份:
    2021
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Continuing Grant
III: Small: Stochastic Algorithms for Large Scale Data Analysis
III:小型:大规模数据分析的随机算法
  • 批准号:
    2131335
  • 财政年份:
    2021
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Continuing Grant
PFI-TT: Advancing the Technology Readiness of Pylon Fairings for Tidal Turbines
PFI-TT:推进潮汐涡轮机塔架整流罩的技术准备
  • 批准号:
    1919184
  • 财政年份:
    2019
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Standard Grant
III: Small: Stochastic Algorithms for Large Scale Data Analysis
III:小型:大规模数据分析的随机算法
  • 批准号:
    1908104
  • 财政年份:
    2019
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Continuing Grant
Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
合作研究:基于物理的机器学习用于次季节气候预测
  • 批准号:
    1934634
  • 财政年份:
    2019
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Continuing Grant
Towards an improved understanding of tidal turbine dynamics in a turbulent marine environment
提高对湍流海洋环境中潮汐涡轮机动力学的理解
  • 批准号:
    1706358
  • 财政年份:
    2017
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Standard Grant
III: Medium: Collaborative Research: Bayesian Modeling and Inference for Quantifying Terrestrial Ecosystem Functions
III:媒介:协作研究:量化陆地生态系统功能的贝叶斯建模和推理
  • 批准号:
    1563950
  • 财政年份:
    2016
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Continuing Grant
CAREER: Transition to Turbulence and Mixing for Rayleigh Taylor Instability with Acceleration Reversal
职业生涯:加速反转的瑞利泰勒不稳定性过渡到湍流和混合
  • 批准号:
    1453056
  • 财政年份:
    2015
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Standard Grant
BIGDATA: F: DKA: Collaborative Research: High-Dimensional Statistical Machine Learning for Spatio-Temporal Climate Data
BIGDATA:F:DKA:协作研究:时空气候数据的高维统计机器学习
  • 批准号:
    1447566
  • 财政年份:
    2014
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Learning Relations between Extreme Weather Events and Planet-Wide Environmental Trends
EAGER:合作研究:学习极端天气事件与全球环境趋势之间的关系
  • 批准号:
    1451986
  • 财政年份:
    2014
  • 资助金额:
    $ 299.87万
  • 项目类别:
    Standard Grant

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Education DCL: EAGER: Teaching Privacy via Stakeholder Modeling
教育 DCL:EAGER:通过利益相关者建模教授隐私
  • 批准号:
    2335625
  • 财政年份:
    2024
  • 资助金额:
    $ 299.87万
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Advancing equity in traumatic brain injury care: A stakeholder-informed meeting on screening for traumatic brain injury in underserved populations
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  • 批准号:
    487815
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    2023
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Is the Current Design of the Initial Public Offering Process Optimal for the Markets and the Relevant Stakeholder Groups?
当前首次公开募股流程的设计是否最适合市场和相关利益相关者群体?
  • 批准号:
    2865722
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    2023
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    $ 299.87万
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规划:FIRE-PLAN:利益相关者驱动的野火缓解和防备挑战和机遇
  • 批准号:
    2341679
  • 财政年份:
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  • 批准号:
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