NRT-FW-HTF-HDR: PLATFORMS FOR EXCHANGE AND ALLOCATION OF RESOURCES (PEAR)
NRT-FW-HTF-HDR:资源交换和分配平台(PEAR)
基本信息
- 批准号:2244340
- 负责人:
- 金额:$ 300万
- 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:2023-07-15 至 2028-06-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The increasing digitization of the economy and resulting growth of digital platforms like ride-hailing apps and energy trading platforms have dramatically altered how individuals, organizations and governments exchange and allocate resources. By 2025 it is estimated over $60 trillion per year (~30 percent of world revenue) will be mediated by digital platforms. These platforms have disrupted multiple industries, upended labor economics and practices, and fundamentally transformed resource management, asset allocation and market design. While digital platforms have democratized provision and access to services and products with low entry and transaction costs, the larger impact on society is not fully understood. It is critical that the developers of new platform technologies no longer simply be trained as engineers and computer scientists, and that policy makers and regulators must understand the ecosystems around digital platforms. This National Science Foundation Research Traineeship (NRT) award to Northeastern University, University of Houston, and Hampton University (two of three of which are minority-serving institutions), entitled Platforms for Exchange and Allocation of Resources (PEAR), will develop convergent, transdisciplinary training providing students with (1) the capacity to integrate applicable findings and theories in business, policy and social science into ethical engineering design and practice and vice versa, (2) the ability to succeed in emerging and dynamic work environments that are yet to be regulated, and (3) the understanding of how technological innovations create value for different stakeholders and impact society at large. This project anticipates training 80+ MS and PhD students, including 22 stipended fellows, from a range of doctoral programs at Northeastern University (NU) or University of Houston (UH), a new Master’s in Engineering Entrepreneurship at Hampton University (HU) – the university’s first engineering graduate degree – or one of the two new graduate certificate programs at NU or UH. The PEAR training model is guided by evidence-based best practices in teaching, mentoring and learning, with an emphasis on best practices for interdisciplinary learning and engagement of underrepresented populations. Through carefully curated coursework and experiences, structured mentoring and professional development, and stakeholder co-designed research opportunities, PEAR Fellows will be trained to understand and contribute to the future of digital platforms and their impact on equitable distribution of economic opportunities in society, sustainable consumption, fair access to goods and services, ethically informed technology design, and the re-shaping of labor and business practices. These professionals will be ready to define and contribute to the future of work at the human technology frontier and to harness the data revolution (two NSF Big Ideas) in multiple sectors such as energy, health, transportation, logistics, housing, computing, policy, and beyond. PEAR is a collaboration that combines each institution’s strengths: NU’s leadership in experiential learning, Hampton’s in engineering entrepreneurship and teaching, and UH’s engineering partnerships particularly in the energy sector – to develop three new graduate programs. Formal external evaluation will document outcomes to contribute to the body of knowledge on effective models for graduate education in convergent research areas such as digital platforms.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.
经济的日益数字化以及随之而来的数字平台(如打车应用和能源交易平台)的增长,极大地改变了个人、组织和政府交换和分配资源的方式。到2025年,预计每年将有超过60万亿美元(约占全球收入的30%)由数字平台介导。这些平台颠覆了多个行业,颠覆了劳动经济学和实践,从根本上改变了资源管理、资产配置和市场设计。虽然数字平台以较低的进入和交易成本使服务和产品的提供和获取民主化,但对社会的更大影响尚未得到充分理解。 至关重要的是,新平台技术的开发人员不再只是被培训为工程师和计算机科学家,政策制定者和监管机构必须了解数字平台周围的生态系统。这个国家科学基金会研究培训(NRT)奖东北大学,休斯顿大学和汉普顿大学(其中两个是少数民族服务机构),题为交流和资源分配(PEAR)的平台,将开发收敛,跨学科的培训,为学生提供(1)在业务中整合适用的发现和理论的能力,政策和社会科学融入伦理工程设计和实践,反之亦然,(2)在尚待监管的新兴和动态工作环境中取得成功的能力,以及(3)了解技术创新如何为不同利益相关者创造价值并影响整个社会。该项目预计将培训80多名MS和博士生,包括22名奖学金研究员,来自东北大学(NU)或休斯顿大学(UH)的一系列博士课程,汉普顿大学(HU)的工程创业新硕士-该大学的第一个工程研究生学位-或NU或UH的两个新研究生证书课程之一。 PEAR培训模式以教学、辅导和学习方面的循证最佳做法为指导,重点是跨学科学习的最佳做法和代表性不足人口的参与。通过精心策划的课程和经验、结构化的指导和专业发展以及利益相关者共同设计的研究机会,PEAR研究员将接受培训,以了解数字平台的未来及其对社会经济机会公平分配的影响并做出贡献、可持续消费、公平获得商品和服务、符合道德规范的技术设计、以及劳动力和商业行为的重塑。这些专业人员将准备好定义和促进人类技术前沿工作的未来,并在能源,健康,交通,物流,住房,计算,政策等多个领域利用数据革命(两个NSF大想法)。PEAR是一个合作,结合了每个机构的优势:NU在体验式学习,汉普顿在工程创业和教学的领导,以及UH的工程合作伙伴关系,特别是在能源部门-开发三个新的研究生课程。正式的外部评估将记录成果,以促进在融合研究领域(如数字平台)研究生教育有效模式的知识体系。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
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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{{ truncateString('Ozlem Ergun', 18)}}的其他基金
RAPID: Collecting Supply, Demand, and Matching Data for Assigning Medical Staff to Long Term Care Facilities During the COVID-19 Pandemic
RAPID:收集供应、需求和匹配数据,以便在 COVID-19 大流行期间将医务人员分配到长期护理机构
- 批准号:
2038421 - 财政年份:2020
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Planning Grant: Engineering Research Center for Sharing economy - Humans, Automation, Resilience and Engineering: SHARE
规划资助:共享经济工程研究中心 - 人类、自动化、弹性和工程:SHARE
- 批准号:
1840493 - 财政年份:2018
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Proposal: Resource Allocation with Learning in Dynamic and Partially Observable Networks
协作提案:动态和部分可观察网络中的资源分配和学习
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1537824 - 财政年份:2015
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$ 300万 - 项目类别:
Standard Grant
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1034840 - 财政年份:2010
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Managing Debris Collection and Disposal Operations
管理碎片收集和处置作业
- 批准号:
1000085 - 财政年份:2010
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
CAREER: Efficient Network Design and Routing Algorithms for Logistics and Communications Networks
职业:物流和通信网络的高效网络设计和路由算法
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0238815 - 财政年份:2003
- 资助金额:
$ 300万 - 项目类别:
Continuing Grant
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