The CUSP Capstone Experience
Make an impact
Reducing Carbon and Driving Large Scale Energy Efficiency.
Predictive Modeling of Opioid Overdose Risk.
Mapping Construction + Demolition Waste Flows.
How can you impact the cities of today and tomorrow?
NYU Tandon’s Center for Urban Science + Progress (CUSP) is proud to host its annual Capstone Program to serve its mission of finding data-driven solutions to increasingly complex urban challenges.
Each year, graduate students in the MS in Applied Urban Science & Informatics degree partner with sponsors and CUSP faculty members to collaborate on a six-month project that seeks to address a critical urban issue or research problem. Project proposal applications for the 2023 program are now closed.
How does it work?
It all starts with a question. Do you have a research problem or data-driven project that you’d like a little help with? Do you need access to both data science skills and deep policy knowledge to find a scalable solution? CUSP accepts project proposals from sponsors such as government agencies, private companies, academic institutions, think tanks, NYU faculty members–anyone who is also on a mission to make cities more equitable, efficient, livable, and technologically advanced. If accepted into the program, sponsors are paired with a team of three to five graduate students and a CUSP faculty advisor to embark on a six-month project spanning the spring and summer semesters. The timeline for the 2023 Capstone Program is as follows (subject to change):
October 15, 2022: Deadline for sponsors to submit project proposals.
November 7, 2022: 2023 Capstones announced.
November 14-18, 2022: Meet and greet events between project sponsors, mentors, and students (virtual meetings permitted).
November 21, 2022: Deadline for students to submit preferences for project assignments.
December 1, 2022: Student team + sponsor matches to be announced.
December 9, 2022: Deadline for sponsors to submit data to be used in projects.
January 26, 2023: First day of Urban Science Intensive I class.
May TBD, 2023: Spring milestone updates/presentations.
July 12, 2023: Final deliverables due; Capstone presentations will be given at the Applied Urban Science Conference.
Applied Urban Science Conference
The Applied Urban Science Conference is a full day event where CUSP students highlight all the work they’ve done over two semesters in their final capstone presentations. Open to the public, project sponsors, family, and friends of the CUSP community are encouraged to attend. Industry folks, city officials, and other researchers are also invited to learn about the progress made across research questions and to network with students.
Capstone projects approach real-world urban challenges through problem identification and scoping, data collection, and applying data analytics and visualization techniques. Typical deliverables include urban data analytic reports, data visualizations including interactive applications, research websites, research publications, and prescriptive policy solutions.
The capstone program is the pinnacle of CUSP graduate students’ hands-on experience and is tied to required Urban Science Intensive I & II courses. Therefore, it is important that any potential sponsor is prepared to meet with their student team on a recurring basis and to provide support as needed.
The best capstone projects are impact-driven and include a coherent, well-defined urban problem. An effective capstone project:
- Ties directly to the needs of the sponsor organization as well as CUSP’s mission;
- Identifies a discrete, tangible, and deliverable end product that can provide actionable insight;
- Is quantitative and can be approached using a range of data science and informatics methodologies (e.g. network analysis, predictive modeling, machine learning, spatial analytics, etc.);
- Requires data that is available and in-hand prior to the start of a project; and
- Includes a supportive sponsor that will engage with the students, ensure access to necessary information, and assist with connecting student teams to appropriate experts and stakeholders.
Projects must fall under one of the following three categories:
CUSP is an interdisciplinary research center–and our Capstone projects follow suit. Projects vary widely and we encourage sponsors to be creative and imaginative when submitting proposals. 2023’s capstone projects hail from across the US and around the globe, using NYC as our lab and applying what we learn to other urban hubs. Check out the examples below!
At the Intersection of Head and Eye Control in Patients with Blindness and Low Vision
- John-Ross (JR) Rizzo, Health System Director, Disability Inclusion, Rusk Rehabilitation, NYU Langone Health
- Todd E. Hudson, Research Assistant Professor, Department of Rehabilitation Medicine at NYU Grossman School of Medicine
- William Seiple, Research Professor, Department of Ophthalmology, NYU Langone Health
- Mahya Beheshti, Physician Scientist, Rusk Rehabilitation, NYU Langone Health
Understanding the role of eye movements and their coupling with other body movements when acquiring navigation-relevant visual information is critical, especially for individuals with navigation challenges. This project will deploy a head-mounted eyetracker to examine eye-head synergies in sighted individuals and people with blindness/low vision to assess the presence and nature of any differences in the saccadic main sequence and the extended eye-head saccadic main sequence. We predict that the degree of decoupling will correlate with the degree and type of visual impairment (central/peripheral). Results will advance our knowledge of integrated motor control for the visually impaired in urban navigation.
Machine Learning Mapping of Heat Risk in Cities Using Satellite and Ground Data in Google Earth Engine
- Constantinos Cartalis, Professor of Environmental and Climate Physics
- Kostas Philippopoulos, PhD, Postdoctoral Researcher
- Anastasios Polydoros, MSc
Cities are exposed to higher temperatures due to the extensive presence of man made heat sources and climate change, the latter resulting in the increase of the duration, strength and frequency heat waves. Estimating heat risk through a synthetic methodology that combines satellite images and ground data and uses machine learning for cluster analysis based on landscape, urban and social parameters is important in order to (a) recognize which areas and which populations are disproportionately exposed to heat risk (“extreme heat injustice”), especially in the event of heat waves (b) to define measures to mitigate heat risk and (c) to support urban resilience to climate extremes.
Understanding the Intensity of Community Surveillance In Brooklyn Through Public Datasets
Sponsor: Brooklyn Defender Services
- Andrew Foltz-Morrison, Data Scientist
- Elizabeth Daniel Vasquez, Special Forensic Science Counsel
How do we quantify the intensity of surveillance that neighborhoods across Brooklyn are subjected to by the presence of surveillance cameras? Which communities are disproportionately impacted by this surveillance load? While the indicator variable is surveillance cameras for this research, we hope to develop a more general methodology that can be applied to other datasets describing other forms of surveillance technology – like facial recognition, geolocation tracking, or body-worn cameras – in the future.
Thank you to our sponsors!
Who is involved?
CUSP Graduate Students
Capstone teams are composed of three to five CUSP graduate students who will possess a combination of technical skills ranging from data analytics, visualization, machine learning, data mining and processing, database management, modeling, and web integration, to strong abilities in real-world urban vision, social science, and public policy. These broad skills enable teams to utilize data science techniques within the constraints of political, social, and financial considerations, as well as to address issues of data privacy, validity, and transparency. Our students’ range of personal, academic, and professional backgrounds and rapidly developing skills in urban science and informatics techniques make them uniquely suited to assess and solve the increasingly complex challenges that researchers are focused on today.
For projects with external sponsors, CUSP adjunct faculty members are assigned as Capstone advisors to facilitate communication between sponsors, student teams, and course instructors as well as provide technical guidance. Advisors hail from a range of fields, from the physical sciences and math to social sciences and policy, and are assigned to projects specifically so that expertise and interests are aligned. Advisors supervise the graduate students and check in on a weekly basis, offering advice and assistance as needed. Advisors for the 2023 cycle are listed below.
Mona Sloane, Ph.D.
Course assistants are available to help guide students through advanced topics as they work with complex data sets and policy issues. This year’s course assistants have a broad range of subject expertise, with backgrounds in computer engineering, industrial engineering, political science, international relations, transnational security, global risk, technology management, and business analytics. Contact them for an appointment or to sign up for office hours.
Urban Science Intensive Course Professor
Frequently Asked Questions
For Potential Sponsors
We accept sponsor applications from all public, private sector, or academic organizations looking to address a critical urban issue or research problem. Our sponsors in the past have included city agencies across the US, international universities, and non-profits. Your organization does not need to be located in New York City or the United States, as long as you can provide regular communication with your capstone team.
New York University Community: Any NYU research center, faculty member, or researcher with a new or ongoing research project is welcome to apply!
A Project Agreement will be developed and executed, which describes the project purpose, scope, and expected outputs. This document will also outline data sharing protocols and any restrictions on shared data.
We seek project sponsors that are engaged and enthusiastic about the use of data science in improving city operations and planning. We expect project sponsors to identify a primary Point of Contact for the project who will ensure data sharing agreements are executed; will provide regular feedback on the students’ work, through periodic meetings and review of progress reports and presentations; and will be able to attend the final project presentations. The specific expectations and time commitment will vary by the needs of the project, but project sponsors should be able to commit 1-2 hours every two weeks to the above activities. Our student teams are very capable, and this level of engagement will help to ensure the final deliverables and output provide value for, and are of use to, the project sponsor.
Please review the Capstone Sponsor Mutual Expectations.
The CUSP Data Facility is a secure research data environment with datasets, tools, and expert staff to provide research support services to students, faculty, and city agency employees. The CUSP Data Facility (CDF) connects all of these users to relevant datasets for urban policy research. The CDF reduces the multiple technical, legal, bureaucratic, capacity, and cost barriers to data access, so that the full research, policy, and operational benefits of data products can be realized by academic researchers and students, City analysts and managers, and other key partners in urban science.
We recognize that much of the data we manage, from streaming sensor data to agency administrative data, is sensitive and we handle it accordingly. The CUSP Data Facility’s Safe Data Environment comprises a multi-faceted approach to maintain safe data, through safe people, projects, settings, and outputs. This approach combines technical protocols, user policies, and user-centered design in order to ensure adherence to data governance requirements.
- Safe people: regular trainings on responsible data use and privacy & confidentiality, combined with updated online resources on best practices in data management
- Safe projects: standards and protocols for managing access to datasets and databases at the project level
- Safe settings: a secure data environment with restricted data ingress and egress
- Safe outputs: a statistical disclosure limitation prior to any export of products derived from restricted data
The Data Facility and Student Capstone Projects – CUSP students and faculty and host agencies are encouraged to perform all Capstone research within the Data Facility. CUSP will process new project data and create project workspaces where designated team members can work with their project-specific datasets and collaborate on data analysis and visualization. Other data facility users will not have access to the project workspace.
There is no fee associated with the Capstone projects.
Proposals can be submitted through this form.
Capstone project group selection methods will be based on several criteria including students’ ranked preferences. Based on student interest, it is possible that an approved project may not be utilized. Demographics and competencies will also be considered in order to ensure group heterogeneity. Any potential conflicts of interest must be disclosed by project sponsors in advance.
Project sponsors are able to provide input about what types of skills may be most useful to their project activities but will not be able to directly choose their student teams.
Please email email@example.com with any additional questions about the Capstone Program.
Students enroll in USI I for their spring semester, and USI II in the summer session. Both are required courses and must be taken consecutively. Course registration dates are announced via email.
Students are able to submit up to 5 preferred projects after viewing the Capstone catalog and attending the Meet & Greet, but selection is not guaranteed.
Students teams are carefully selected to ensure that a variety of skills and experience are included in the working group. Requests may be made, but are not guaranteed.
Classes are scheduled for Thursdays 6pm-8:30pm, but at it’s the discretion of the instructors to set the meetings.
Students can expect to spend at least 75 hours on their research project outside of regularly scheduled class each semester.