
NSF Org: |
EEC Division of Engineering Education and Centers |
Recipient: |
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Initial Amendment Date: | August 9, 2022 |
Latest Amendment Date: | May 29, 2025 |
Award Number: | 2133516 |
Award Instrument: | Cooperative Agreement |
Program Manager: |
Sandra Cruz-Pol
scruzpol@nsf.gov (703)292-2928 EEC Division of Engineering Education and Centers ENG Directorate for Engineering |
Start Date: | September 1, 2022 |
End Date: | August 31, 2027 (Estimated) |
Total Intended Award Amount: | $26,000,000.00 |
Total Awarded Amount to Date: | $13,765,000.00 |
Funds Obligated to Date: |
FY 2023 = $4,500,000.00 FY 2024 = $5,765,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
615 W 131ST ST NEW YORK NY US 10027-7922 (212)854-6851 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2960 Broadway New York NY US 10027-6902 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
HSI-Hispanic Serving Instituti, ERC-Eng Research Centers |
Primary Program Source: |
01002324DB NSF RESEARCH & RELATED ACTIVIT 01002425DB NSF RESEARCH & RELATED ACTIVIT 01002526DB NSF RESEARCH & RELATED ACTIVIT 01002627DB NSF RESEARCH & RELATED ACTIVIT 04002425DB NSF STEM Education |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041, 47.076 |
ABSTRACT
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 and safety, 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, and Lehman College, will develop a rich ecosystem of streetscape applications built upon real-time, hyper-local intelligence to advance livable and safe communities. CS3 will adopt a fundamentally new approach to engineering research, leveraging a varied 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. With an extensive network of partners, CS3 will explore five application themes: road safety and traffic efficiency, public safety, assistive technologies, 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 priorities. 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, AI and data science, social science, and policy; CS3 will leverage shared, day-to-day streetscape experiences to attract students from many disciplines and all backgrounds to engage in the emerging discipline of smart cities. Built on the closely integrated foundational elements of NSF?s ERC program ?Research, Engineering Workforce Development, 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, privacy, and security.
The NSF Engineering Research Center for Smart Streetscapes (CS3) will advance livable and safe 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 varied 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 & Governance ? 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, reliability, and transparency; (4) Public Interest Technology ? understanding the interactions between the social landscape and CS3 technologies, applications, and security/privacy policies and the resulting 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, AI-powered visual analytics and sensor fusion, computer privacy and security, and public interest 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.
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