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

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.
经济的数字化日益增加,并导致数字平台(如乘车应用程序和能源交易平台)的增长,动态改变了个人,组织和政府如何交流和分配资源。到2025年,估计每年超过60万亿美元(占世界收入的30%)将由数字平台介导。这些平台破坏了多个行业,劳动力经济学和实践,并从根本上改变了资源管理,资产分配和市场设计。尽管数字平台已民主化的提供,并获得了较低的进入和交易成本的服务和产品,但对社会的影响尚未完全理解。至关重要的是,新平台技术的开发人员不再仅仅是工程师和计算机科学家的培训,而决策者和监管机构必须了解数字平台周围的生态系统。这项国家科学基金会研究培训(NRT)授予东北大学,休斯顿大学和汉普顿大学(其中两个是少数族裔服务机构),有资源的平台,用于交换和分配资源(梨)的平台,将开发融合,跨学科的培训,以(1)为(1)将其整合到业务和社会上的练习中,并将其整合到商业上,并将其整合到商业上,并将其整合到商业上,策略和社交范围,并将其整体化为策略,并将其整体化为政策,并将其整体化为政策,并将其整体化为政策,并将其整体培训。在尚未受到监管的新兴和动态工作环境中取得成功的能力,以及(3)对技术创新如何为不同利益相关者创造价值的理解,并影响整个社会。该项目预计将从东北大学(NU)的一系列博士课程或休斯敦大学(UH)培训80多名MS和博士学位的学生,包括22名压力的研究员,这是汉普顿大学(HU)的新型工程企业家(HU)的新硕士,该大学是该大学的首个工程研究生学位 - 或NU OR UH的两个新研究生证书研究生学位。梨训练模型以基于证据的教学,心理和学习的最佳实践为指导,重点是跨学科学习和代表人群不足的最佳实践。通过精心策划的课程和经验,结构化的心理和专业发展以及利益相关者共同设计的研究机会,梨研究员将接受培训,以了解并促进数字平台的未来及其对社会中经济机会公平分配的影响,可持续消费,公平的商品和服务的公平访问,伦理知识的技术设计以及劳动和商业实践的重新塑造。这些专业人员将准备好在人类技术边界定义工作并为工作的未来做出贡献,并利用能源,健康,运输,物流,住房,计算,政策等多个部门的数据革命(两个NSF大思想)。 Pear是一项合作,结合了每个机构的优势:NU在专家学习中的领导力,汉普顿的工程企业家和教学以及UH的工程伙伴关系,尤其是在能源领域 - 开发三个新的研究生课程。正式的外部评估将记录成果,为在数字平台等收敛研究领域的有效研究生教育模型的知识中做出贡献。NSF研究训练(NRT)计划旨在鼓励开发和实施用于STEM研究生教育培训的大胆,新的潜在变革模型。该计划致力于通过全面的跨学科或收敛性研究领域的STEM研究生进行有效培训,通过全面的培训模型,这些模型具有创新,基于循证的,并且与不断变化的劳动力和研究需求保持一致。该奖项反映了NSF的法定使命,并通过使用基金会的知识优点和广泛的影响来评估NSF的法定任务,并被认为是宝贵的支持。

项目成果

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Ozlem Ergun其他文献

Ozlem Ergun的其他文献

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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
  • 批准号:
    1537824
  • 财政年份:
    2015
  • 资助金额:
    $ 300万
  • 项目类别:
    Standard Grant
RAPID: Earthquake Debris Management in Haiti: Data-driven Decision-Support
RAPID:海地地震碎片管理:数据驱动的决策支持
  • 批准号:
    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
  • 批准号:
    0238815
  • 财政年份:
    2003
  • 资助金额:
    $ 300万
  • 项目类别:
    Continuing Grant

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