课题基金 / 基金详情

NSF Engineering Research Center for Smart Streetscapes (CS3)

NSF Engineering Research Center for Smart Streetscapes (CS3)
NSF 智能街景工程研究中心 (CS3)
批准号:
2133516
负责人:
Andrew Smyth
金额:
$2600.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-01 至 2027-08-31

项目摘要

项目成果

Andrew Smyth的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
More than 80% of Americans and over half the world’s population live in urban areas. High-density cities are transforming how people live, work, travel, and manage urban infrastructure. With the nation’s urban areas facing emerging challenges threatening livability, safety, and inclusion, it is the streetscape –neighborhood streets, sidewalks, and public spaces– that marks the nexus of public and commercial activities, where rich, spatially and temporarily dense data can be harnessed for the public good. The NSF Engineering Research Center for Smart Streetscapes (CS3), led by Columbia University, together with Florida Atlantic University, Rutgers University, University of Central Florida, and Lehman College, will develop a rich ecosystem of streetscape applications built upon real-time, hyper-local intelligence to advance livable, safe, and inclusive communities. CS3 will adopt a fundamentally new approach to engineering research, leveraging a diverse cohort of non-academic stakeholders –industry partners, community organizations, municipalities, and K-12 schools– as collaborative co-producers of knowledge and auditors of technology research and development, built on a culture of inclusion that bridges the “digital divide” that starkly demarcates stakeholdership. With an extensive network of partners, CS3 will explore five application themes: road safety and traffic efficiency, public safety, assistive technologies for people with disabilities, the future of outdoor work, and hyper-local sensing and modeling. CS3’s engineering process will begin with the study of community-specific application requirements, constraints, and sensitivities. The resulting community-inspired applications will be piloted within three distinct urban testbeds –in New York City (NY), West Palm Beach (FL), and New Brunswick (NJ)– leveraging prior federal and municipal investments. Outcomes from these pilots will catalyze a novel innovation ecosystem, drawing upon CS3’s broad network of aspiring entrepreneurs, emerging start-ups, and established companies. Realizing and sustaining this vision requires a next-generation workforce that cross-cuts engineering, data science, social science, and policy; CS3 will leverage shared, day-to-day streetscape experiences to attract students from diverse disciplines and backgrounds to engage in the emerging discipline of smart cities. Built on the four closely integrated foundational elements of NSF’s ERC program –Research, Engineering Workforce Development, Diversity and Culture of Inclusion, and Innovation Ecosystem– CS3’s work has the potential to redefine America’s streetscapes by applying a digital layer over physical urban infrastructure, ensuring that America’s cities meet the needs of local communities and that the technologies being adopted take into account critical questions regarding safety, equity, privacy, and security.The NSF Engineering Research Center for Smart Streetscapes (CS3) will advance livable, safe, and inclusive communities through real-time, hyper-local streetscape applications built on advancements in edge-cloud technology, wireless-optical engineering, visual analytics, computer security, and social science. CS3 will unite diverse research communities through a convergent research model that delivers innovations across five engineering and scientific areas: (1) Wi-Edge – the integration of high-speed wireless-optical networking, high-performance edge-cloud computing, and software-defined radios and networking; (2) Situational Awareness – fine-scale, real-time observation, modeling, and forecasting of human behavior over variable time horizons at streetscape scales; (3) Security, Privacy & Fairness – addressing socio-technical barriers of privacy and security within locally intelligent streetscapes, yielding a software pipeline for streetscape applications that gives community-configurable guarantees of privacy, fairness, and transparency; (4) Public Interest Technology – understanding how CS3 technologies, applications, and security/privacy policies impact the social landscape and promote regional economic development; and (5) Streetscape Applications – incorporating the distinct ways in which individual communities read, interpret, and respond to local intelligence within the design process in order to optimize community-specific benefits. CS3 will advance fundamental knowledge in civil and urban systems engineering, electrical and network engineering, visual analytics and sensor fusion, computer privacy and security, and public trust and technology – catalyzing and coalescing the emerging discipline of smart cities.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Planning Grant: Engineering Research Center for Advanced Streetscape Sensing, Communications and Computing (ASTRSCC)
  • 批准号:
    1840540
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2018
  • 负责人:
    Andrew Smyth
  • 依托单位:
High Fidelity Probabilistic Structural Health Monitoring
  • 批准号:
    1563364
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.27万
  • 财政年份:
    2016
  • 负责人:
    Andrew Smyth
  • 依托单位:
Enhanced Modeling of the Rocking and Overturning of Objects on a Moving Base
  • 批准号:
    1200859
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.26万
  • 财政年份:
    2012
  • 负责人:
    Andrew Smyth
  • 依托单位:
Data Fusion of Heterogeneous Sensor Measurements for Enhanced Structural Modeling
  • 批准号:
    1100321
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.07万
  • 财政年份:
    2011
  • 负责人:
    Andrew Smyth
  • 依托单位:
国内基金
海外基金
Frontiers of Environmental Science & Engineering
  • 批准号:
    51224004
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2012
  • 负责人:
    朱建军
  • 依托单位:
Chinese Journal of Chemical Engineering
  • 批准号:
    21224004
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2012
  • 负责人:
    廖叶华
  • 依托单位:
Chinese Journal of Chemical Engineering
  • 批准号:
    21024805
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2010
  • 负责人:
    廖叶华
  • 依托单位: