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: $ 2600万
• 依托单位: Columbia University
• 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
• 起止时间: 2022-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133516&HistoricalAwards=false
• 关键词: NSF; Engineering; Research; Center; Smart

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.

超过 80% 的美国人和世界一半以上的人口居住在城市地区，高密度城市正在改变人们的生活、工作、出行和管理城市基础设施的方式，而美国城市地区面临着威胁宜居性、安全性和安全性的新挑战。包括在内，街景——邻里街道、人行道和公共空间——标志着公共和商业活动的联系，可以利用丰富的、空间上和暂时密集的数据来服务公共利益​​。智能街景 (CS3) 由哥伦比亚大学牵头，与佛罗里达大西洋大学、罗格斯大学、中佛罗里达大学和雷曼学院一起，将开发一个基于实时、超本地智能的丰富街景应用生态系统，以推进CS3 将采用一种全新的工程研究方法，利用多元化的非学术利益相关者——行业合作伙伴、社区组织、市政当局和 K-12 学校——作为合作共同制作者。 CS3 建立在弥合利益相关者“数字鸿沟”的包容文化之上，并拥有广泛的合作伙伴网络，将探索五个应用主题：道路安全和交通效率、公共安全、残疾人辅助技术、户外工作的未来以及超本地化传感和建模 CS3 的工程流程将从研究社区特定的应用需求、限制和敏感性开始，并试点由此产生的社区应用。在纽约市（纽约州）、西棕榈滩（佛罗里达州）和新不伦瑞克省（新泽西州）三个不同的城市试验平台内，利用先前的联邦和市政府投资，利用 CS3 的广泛投资，将催生一个新颖的创新生态系统。由有抱负的企业家、新兴初创企业和老牌公司组成的网络需要跨领域的工程、数据科学、社会科学和政策的下一代劳动力；日常街景体验，吸引来自不同学科和背景的学生参与智慧城市的新兴学科。建立在 NSF ERC 计划的四个紧密结合的基础要素之上——研究、工程劳动力发展、多样性和包容性文化，和创新生态系统——CS3 的工作有可能通过在物理城市基础设施上应用数字层来重新定义美国的街景，确保美国的城市满足当地社区的需求，并且所采用的技术考虑到关键因素有关安全、公平、隐私和安保的问题。 NSF 智能街景工程研究中心 (CS3) 将通过基于边缘云技术进步的实时、超本地化街景应用程序来推进宜居、安全和包容的社区， CS3 将通过融合研究模型将不同的研究团体联合起来，在五个工程和科学领域提供创新：(1) Wi-Edge – 高速无线的集成。 -光学的网络、高性能边缘云计算以及软件定义的无线电和网络；(2) 态势感知 – 在街景尺度上对人类行为进行精细、实时观察、建模和预测 (3) ）安全、隐私和公平——解决本地智能街景中隐私和安全的社会技术障碍，为街景应用程序提供软件管道，为社区可配置的隐私、公平和透明度提供保证（4）公共利益技术——了解 CS3 技术、应用程序和安全/隐私政策如何影响社会景观并促进区域经济发展；以及 (5) 街景应用程序 – 在设计过程中纳入各个社区阅读、解释和响应当地情报的独特方式；为了优化特定社区的效益，CS3 将推进土木和城市系统工程、电气和网络工程、视觉分析和传感器融合、计算机隐私和安全以及公众信任和技术方面的基础知识——催化和融合新兴学科。智慧城市。该奖项反映了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，NSF 的法定使命被认为值得支持。