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.
Affiliated Research Groups & Labs

The SimSpace Lab at CUSP and the NYU Tandon Department of Computer Science and Engineering is a mixed sensing and simulation facility for studying human behavior in intricately high-fidelity. We are interested in a range of application areas, including autonomous vehicles, special effects and animation, and future forms of location-aware technology being developed as Edge AI.

Urban Complexity Lab (UCOMP)
Urban Complexity Lab is unfolding complexity of urban systems for research, innovation and applications, applying cutting edge data science, machine learning and network analysis techniques and big urban data for making our cities more smart, efficient, sustainable and resilient.
Urban Complexity Lab is unfolding complexity of urban systems for research, innovation and applications, applying cutting edge data science, machine learning and network analysis techniques and big urban data for making our cities more smart, efficient, sustainable and resilient.

Urban Modeling Group
Our mission is to change the way urban engineering is done by bridging the gap between Civil Engineering and Computer Science. We focus on developing tools to better understand the urban built environment through pioneering new means to optimize and synthesize multi-modal data collection, storage, and processing.
Our mission is to change the way urban engineering is done by bridging the gap between Civil Engineering and Computer Science. We focus on developing tools to better understand the urban built environment through pioneering new means to optimize and synthesize multi-modal data collection, storage, and processing.

CUSP Urban Observatory (CUSP-UO)
Through the novel use of observational and analytical techniques, the Urban Observatory studies the complex interactions between the physical, natural, and human components of the city as a coherent, definable system with the goal of enhancing public well-being, city operations, and future urban plans.
Through the novel use of observational and analytical techniques, the Urban Observatory studies the complex interactions between the physical, natural, and human components of the city as a coherent, definable system with the goal of enhancing public well-being, city operations, and future urban plans.

Behavioral Urban Informatics, Logistics, and Transport Laboratory (BUILT)
The BUILT lab conducts research on dynamic operations of urban mobility systems and developing tools for policymakers to as evaluate Mobility-as-a-Service markets, using methods from network optimization, machine learning, and econometrics.
The BUILT lab conducts research on dynamic operations of urban mobility systems and developing tools for policymakers to as evaluate Mobility-as-a-Service markets, using methods from network optimization, machine learning, and econometrics.

Prof. Choromanska's research focuses on optimization (deep learning landscape, deep learning optimization, and general machine learning optimization), large data analysis (extreme multi-class and multi-label classification and density estimation), and machine learning for robotics and autonomy (autonomous driving systems, self-driving cars, AI-based robotics).

The Wagner Innovation Labs are a new series of policy experiments that marry theory and practice to promote informed, evidence-based decision-making in a complex world. Each project reflects NYU Wagner's broad commitment to bringing scholars, thinkers, and practitioners together, both figuratively and literally, to improve the way policy is made.

Laboratory for Agile and Resilient Complex Systems (LARX)
Our research leverages AI, games, and system scientific methods to develop emerging urban sciences and technologies. Our research focuses on critical infrastructure protection and develops a science of security and resilience for critical infrastructures and systems.
Our research leverages AI, games, and system scientific methods to develop emerging urban sciences and technologies. Our research focuses on critical infrastructure protection and develops a science of security and resilience for critical infrastructures and systems.