NSF Engineering Research Center for Smart Streetscapes (CS3)

超过80%的美国人和超过一半的世界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。随着国家城市地区面临着威胁宜居性、安全性和包容性的新挑战，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，丰富的、空间上的和暂时密集的数据可以用于公共利益。由哥伦比亚大学、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牵头的美国国家科学基金会智能街景工程研究中心（CS3）将开发一个丰富的街景应用生态系统，以实时、超本地智能为基础，推进宜居、安全和包容的社区。CS3将采用一种全新的工程研究方法，利用不同的非学术利益相关者群体——行业合作伙伴、社区组织、市政当局和K-12学校——作为知识的共同生产者和技术研发的审核员，建立在一种包容的文化基础上，弥合“数字鸿沟”，这种文化明显区分了利益相关者。通过广泛的合作伙伴网络，CS3将探索五大应用主题：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传感和建模。CS3的工程过程将从研究社区特定的应用需求、约束和敏感性开始。由此产生的社区启发应用程序将在纽约市（NY）、西棕榈滩（FL）和新不伦瑞克（NJ）三个不同的城市试验台进行试点，利用先前的联邦和市政投资。这些试点项目的成果将催生一个全新的创新生态系统，利用CS3由有抱负的企业家、新兴初创企业和老牌公司组成的广泛网络。实现和维持这一愿景需要跨越工程、数据科学、社会科学和政策的下一代劳动力；CS3将利用共享的日常街景体验，吸引来自不同学科和背景的学生参与新兴的智慧城市学科。基于美国国家科学基金会ERC项目的四个紧密结合的基本要素——研究、工程劳动力发展、多样性和包容性文化以及创新生态系统——CS3的工作有可能通过在实体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，并确保所采用的技术考虑到安全、公平、隐私、安全等关键问题。和安全。美国国家科学基金会智能街景工程研究中心（CS3）将通过建立在边缘云技术、无线光学工程、视觉分析、计算机安全和社会科学的进步基础上的实时、超本地街景应用，推进宜居、安全和包容的社区。CS3将通过融合研究模式联合不同的研究团体，在五个工程和科学领域提供创新：(1)Wi-Edge -高速无线光网络、高性能边缘云计算和软件定义无线电和网络的集成；(2)态势感知——在街景尺度上对人类行为在可变时间尺度上的精细、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，为社区提供可配置的隐私、公平和透明度保证；(4)公共利益技术-了解CS3技术、应用和安全/隐私政策如何影响社会景观并促进区域经济发展；(5)街景应用——在设计过程中结合各个社区阅读、解释和响应当地智慧的独特方式，以优化社区特有的利益。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、公众信任和技术等方面的基础知识，促进和整合智能城市的新兴学科。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.