New York City's Leader in Urban Informatics

A UNIQUE RESEARCH CENTER THAT USES NEW YORK CITY AS ITS LABORATORY TO HELP CITIES.

The Center for Urban Science And Progress (NYU CUSP) is a unique public-private research center that uses New York City as its laboratory and classroom to help cities around the world become more productive and livable.

MISSION

New York University’s Center for Urban Science & Progress (CUSP) is a university-wide center whose research and education programs are focused on urban informatics. Using NYC as its lab, and building from its home in the NYU Tandon School of Engineering, it integrates and applies NYU strengths in the natural, data, and social sciences to understand and improve cities throughout the world.

EDUCATION

Graduate programs at NYU CUSP offer a unique and interdisciplinary approach that links data science, statistics and analytics, and mathematics with complex urban systems, urban management, and policy. Our programs expose students to the inner workings of city agencies and create opportunities to challenge themselves through immersive, hands-on data projects. The curriculum emphasizes developing necessary technical skills and critical problem solving frameworks.

RESEARCH

To benefit the city and other partners, NYU CUSP’s research is both mission- and impact- oriented. We develop and integrate data analytics and technologies to specific ends and for the common good, such as improving building energy usage and controlling noise pollution. Our interdisciplinary research teams bring together experts in the physical and natural sciences, computer and data science, the social sciences, engineering, and professional fields such as policy, design, and finance.

WHAT'S HAPPENING AT CUSP

Attend an Information Session
NYU CUSP is hitting the road this fall! Learn about our graduate programs in Applied Urban Science and Informatics at an information session or graduate fair near you.
Find an Information Session
The Coleridge Initiative Announces Rich Context Competition
Participants will automate the discovery of research datasets and the associated research methods and fields in social science research publications. Submit your letter of intent by September 30, 2018!
Visit the Competition Website
NYU CUSP Capstone Team Selected to Present at 2018 Data for Good Exchange
Learn more about their research, which sought to use data to identify, characterize and hold to account New York City’s predatory landlords, here:
Digital Traces of the Predatory Landlord

TWITTER