The Center for Urban Science + Progress (CUSP) is pleased to announce its inaugural call for seed award applications.
About CUSP Seed Grants
CUSP’s mission includes developing novel data- and technology-driven solutions to advance our understanding of cities and help address the complex challenges they face. CUSP will fund five proposals between $10,000 and $15,000 each in research support to seed new projects in urban science addressing one of the following areas:
- Urban environment
- Urban health
- Urban infrastructure
- Urban sustainability (in collaboration with the Sustainable Engineering Initiative)
We encourage interdisciplinary research combining methodologies in complexity, informatics, and sensing. Both basic/fundamental and applied research proposals in these areas will be considered. Projects involving Ph.D. students participating in the new CUSP Doctoral Track in Urban Science can request supplemental funding to cover a 3-month summer research fellowship.
Applications for 2022-23 grants are now closed.
2022-23 Grant Winners
- Joo H. Kim, Associate Professor of Mechanical and Aerospace Engineering, NYU Applied Dynamics and Optimization Laboratory
- Qi Sun, Assistant Professor of Computer Science and Engineering, NYU Immersive Computing Lab
Deployment of robots that are typically controlled by automated algorithms or remote devices (keyboards, joysticks) is not suitable for tasks in complex urban environments. In this project, for the purpose of exploiting human’s sensing, decision making, and action through intuitive interactions, a humanoid robot will be used to sense and stream back a scene, and serve as a remote avatar to accomplish a task through AR-sensed and automatically interpreted commands from the user. This project will develop methods of low-latency streaming and immersive visualization of scene data and establish predictive mapping and control for robot loco-manipulation through user-in-the-loop extended reality.
The Shifting Nature of Work and Its Impact on Space Usage in American Cities
The COVID-19 pandemic has rapidly accelerated the increase in remote work and spurred new labor relations that are almost certain to make it a permanent feature of American cities. The proposed research (with Prof. Solly Angel and researcher Bartosz Bonczak) aims to use mobility data to analyze the spatial and temporal patterns of space use and the connections between commercial districts and residential areas. The study will provide a deeper understanding of how mobility behaviors and use of space are shifting in response to the changing nature of work in U.S. cities. The data processing and analysis proposed here are expected to provide a useful foundation for future applied and fundamental research studies.
Building Resilience Through Community-based Citizen Science and Design for Advocacy
With support from the Department of Technology Management and Innovation
- Graham Dove, Research Assistant Professor of Technology Management and Innovation, NYU Tandon
This project will support vulnerable communities in Chinatown in monitoring environmental pollutants caused by the demolition of the Manhattan Detention Complex (MDC), and in data-driven activism for health and environmental justice. Based on a participatory program of community-based citizen science, the project leverages existing intergenerational programs connecting after-school activities organized by Immigrant Social Services with residents at Chung Pak Senior Housing. Both these community-based organizations occupy space in a building that shares a wall with MDC and will be directly impacted by demolition work. Project partners include NYU Center for the Study of Asian American Health, Chung Pak LDC, the Chinese-American Planning Council, Hamilton Madison House, and the Neighbors United Below Canal.
Assessment of Hyperlocal Urban Aerobiome Microclimates
With support from the NYU Sustainable Engineering Initiative
An environmental microbiome is defined as the population of micro-organisms that inhabit a specific environment. A growing body of literature shows that low microbiome diversity exposure has been linked to negative health outcomes. Thus, access to diverse environmental microbiomes is a question of environmental justice. This pilot study will prototype a methodology for co-evaluation of spatiotemporal environmental conditions and microbial metrics to observe the dynamics of airborne microbial colonies within an urban microclimate of New York City. We hypothesize that urban microbial diversity metrics correlate with area-level conditions that constitute environmental and social justice metrics.
Adaptive Deep Reinforcement Learning Agent to Control HVAC System for Optimized Building Energy Consumption Based on Data-Driven Methods
With support from the NYU Sustainable Engineering Initiative
The goal of this project is to develop a framework that can adapt to buildings even with minimum Building Automation System (BAS) equipment to train optimized building HVAC systems with high energy efficiency. Building energy consumption represents one-third of the United States’ greenhouse gas (GHG) emissions, the largest of any sector (EPA, 2021). Ranked as the largest end-use type for building energy consumption, HVAC represents approximately one-third of energy consumption in residential buildings and 17% in commercial buildings. (EIA, 2021) For the optimization of building energy consumption, our project adopts a machine learning (ML) based deep reinforcement learning (DRL) method to develop a pipeline to input key operational parameters from available BAS data at the subunit level to output optimized control of building energy consumption. We expect the model application will lead to up to 20 to 30% energy savings from HVAC systems by operational control alone.
- Proposed research teams must be led by an NYU Tandon faculty member with PI status. Projects led by early career faculty/investigators are especially encouraged.
- Collaborative proposals are encouraged, and there are no eligibility requirements for collaborators within NYU – however note that awarded funds will be managed within CUSP.
- Proposals will be evaluated based on quality, feasibility, and fit with priorities of CUSP and, if applicable, the Sustainable Engineering Initiative.
- High priority will be given to investigators with a well-articulated plan for submitting grant applications for external funding (including 2-3 potential funders with submission timelines identified). CUSP will provide administrative support and mentorship opportunities to recipients of seed awards during the preparation of a full proposal to secure external funding.
- Participate in CUSP-sponsored activities whenever possible.
- Attend center-sponsored seminars and CUSP thematic area meetings on topics related to the project.
- Give at least one presentation about the seed funded project at a CUSP event.
- Meet with CUSP staff to discuss external funding possibilities and plan for future proposals.
- In principle, awardees should see this program as a means to engage with the CUSP community and pursue a formal affiliation with the center.
- Should such an affiliation materialize, awardees will be expected to submit proposals for external support for the project through CUSP.
- Alert CUSP staff of any external publications or media coverage resulting from the funded project.
- Submit a final report.
Awardees of projects in urban sustainability are expected to further engage with the activities within the Sustainable Engineering Initiative and take an active role in creating synergies with CUSP.
- The application deadline has passed