COMMUNITIES

The QC Sensor Array

Our urban sensors have been developed to measure and track localized environmental conditions at high spatial and temporal resolution. These non-invasive, adaptable, and reliable devices provide critical baseline quality-of-life indicator data designed to help communities, urban planners, and urban scientists make better decisions and build our understanding of urban dynamics.

The Quantified Community

The Quantified Community

Launched by Prof. Kontokosta in 2012, the Quantified Community (QC) – a long-term neighborhood informatics research initiative – is a network of instrumented urban neighborhoods where we collect, measure, and analyze data on physical and environmental conditions and human behavior to advance our fundamental understanding of urban systems dynamics. This provides a deep resource for examining how neighborhoods and the built environment affect individual and social well-being, resource consumption, and resilience.

The Quantified Community has been launched in three very distinct neighborhoods in New York City: at Hudson Yards, an under-construction “city-within-a-city” of 28 million square feet in Manhattan; in Lower Manhattan, a mixed-use neighborhood that attracts residents, workers, and visitors; and in Red Hook, Brooklyn, an economically-distressed community facing significant development and demographic changes. Additional neighborhoods, through Dr. Kontokosta’s partnership in the New York City Neighborhood Innovation Lab initiative, will be added over time.

The QC seeks to utilize data science and sensing technologies to understand urban systems dynamics in service of the collective needs and shared challenges facing residents of urban communities. Therefore, knowing what data to collect – and why – must be driven by community needs and participatory processes that engage these residents in problem definition. Through the QC project, the participating neighborhoods are intended to yield a rich, long-term source of research activity, where longitudinal studies of health impacts, behavior change, and policy interventions can be conducted to understand the interaction of physical, environmental, and human systems in rich detail.

 

QC @ Hudson Yards

A city-within-a-city, Hudson Yards is one of the largest private real estate developments in history. Through a unique partnership with the Related Companies, we are working together to build an “informatics infrastructure” into the buildings and public spaces through Hudson Yards. We are bringing Big Data to city building to better understand, model, and predict how the built environment impacts the social, environmental, and economic fabric of a global city.

QC @ Red Hook

Our partner in the Red Hook QC project is the Red Hook Initiative, a community organization whose mission is to drive social change through the empowerment of young people. We are working together to utilize urban IoT technologies to measure key environmental health indicators and provide information back to residents to both find sources of problems and develop better solutions. Engaging the community is a critical aspect of our work.

QC @ Lower Manhattan

Working with the Alliance for Downtown New York, we are leveraging the technology infrastructure of Lower Manhattan to deploy the QC Sensor Array and better understand urban mobility in a dense, mixed-use urban environment.

NYC Neighborhood Innovation Labs

New York City will create a series of neighborhood innovation labs across the five boroughs. The new labs will accelerate the testing and deployment of new Smart City technologies. Developed by the City’s Chief Technology Officer, the Mayor’s Office of Technology and Innovation, the NYU Center for Urban Science and Progress (CUSP), and New York City Economic Development Corporation, the neighborhood innovation labs will build on the CUSP Quantified Community research facility and the Mayor’s efforts to expand free public Wi-Fi networks across the city, leveraging this connectivity and the Internet of Things to help improve day-to-day life for community residents and small businesses.

Research Team

Constantine E. Kontokosta, PhD, PE

DIRECTOR, URBAN INTELLIGENCE LAB; Assistant Professor of Urban Informatics; CUSP Deputy Director for Academics; Head, Quantified Community

Bartosz Bonczak

Associate Research Scientist

Nicholas Johnson

PhD Candidate and Assistant Research Scientist

Awais Malik

Ph.D Candidate, Civil & Urban Engineering (NYU Tandon) and NYU CUSP

awais.malik@nyu.edu
646.997.0544

Stanislav Sobolevsky, PhD

Associate Professor of Practice, NYU CUSP

sobolevsky@nyu.edu
646.997.0527

Sokratis Papadopoulos

PhD Candidate

Yuan Lai

Ph.D. Candidate

yuan.lai@nyu.edu
646.997.0612

Martin Traunmueller, PhD

Civic Analytics Fellow

Ian Stuart

Graduate Research Assistant, Building Informatics

Ryan Sims

Undergraduate Research Assistant

Raka Dey

Undergraduate Research Assistant

Constantine E. Kontokosta, PhD, PE

DIRECTOR, URBAN INTELLIGENCE LAB; Assistant Professor of Urban Informatics; CUSP Deputy Director for Academics; Head, Quantified Community

ckontokosta@nyu.edu

Prof. Kontokosta brings training urban planning, data science, economics, and systems engineering to the data-driven study of cities.

Professor Constantine E. Kontokosta, PhD, PE, is an Assistant Professor of Urban Informatics in the Department of Civil and Urban Engineering and the Center for Urban Science and Progress (CUSP) at New York University, is the Director of the Urban Intelligence Lab, and is the Deputy Director for Academics at CUSP. He holds a faculty appointment as Visiting Professor of Computer Science at the University of Warwick, and is affiliated faculty at the Marron Institute for Urban Management. He is also the Principal Investigator and Head of the CUSP Quantified Community research facility, a groundbreaking project underway at three districts in New York City – at the Hudson Yards development in New York City; in Lower Manhattan; and in Red Hook, Brooklyn – that is building sensor-enabled urban neighborhoods to study the impact of the built environment on well-being and human behavior. As one of the first faculty to join CUSP, Constantine is part of the CUSP founding leadership team, setting the Center’s strategic priorities and leading the design and implementation of its academic programs in urban data science, growing from just two to over 50 faculty and staff and 100 graduate students in three years. He serves as Faculty Engineer-in-Residence at the NYU Tech Incubators, where he mentors cleantech and smart city start-up companies from early stage idea refinement to technology demonstration and deployment. He is a 2017 recipient of the NSF CAREER award for his research in urban informatics for smart, sustainable cities.

Dr. Kontokosta‘s research lies at the intersection or urban planning, data science, and systems engineering, focusing on using big data and new sensing technologies to better understand the dynamics of physical, environmental, and social systems in the urban environment. His work has been published in leading academic journals in fields including science, economics, urban policy and planning, and engineering, and has two forthcoming books, one on data-driven city operations and planning and the other on the subject of big data and urban sustainability. He collaborates with numerous city agencies in the U.S. and internationally on issues of urban sustainability and resilience policy and planning and city operations, including a multi-year effort to lead data analysis on building energy efficiency with the NYC Mayor’s Office of Sustainability. Dr. Kontokosta’s work has been featured in the Wall Street JournalNew York TimesCNN, NPR, Fast CompanyCityLab, Bloomberg NewsFinancial Times, APS Physics, and ASCE’s Civil Engineering Magazine, among other national and international media outlets.

Dr. Kontokosta holds a Ph.D., M.Phil, and M.S. in Urban Planning, specializing in urban economics and econometrics, from Columbia University, a M.S. in Real Estate Finance from New York University, and a B.S.E. in Civil Engineering Systems from the University of Pennsylvania. He has received research funding from the MacArthur Foundation, the Sloan Foundation, the National Science Foundation, Siemens Corp., CBRE Group, Inc., Lockheed Martin, and the U.S. Department of Housing and Urban Development, among others. Kontokosta has won the IBM Faculty Award, the Google IoT Research Award, and NYU’s Award for Teaching Excellence. He is also a recipient of the C. Lowell Harriss Dissertation Award, the Columbia GSAS Dissertation Award, the Charles Abrams Award for Research in Social Justice, the Best Paper Award at the Bloomberg Data for Good Exchange in 2015, and has been named a Fulbright Senior Scholar in Urban Planning.

Dr. Kontokosta is a licensed Professional Engineer, a member of the American Institute of Certified Planners, a USGBC LEED Accredited Professional, and has been elected a Fellow of the Royal Institution of Chartered Surveyors (RICS).  In addition, he has served on the NYC Mayor’s 80×50 Task Force, as Vice Chair of the Suffolk County Planning Commission, and on the Boards of the UNEP SBCI and the Royal Institution of Chartered Surveyors. He is an accomplished real estate entrepreneur, and, together with his brother, Michael Kontokosta, designed, built, and owns Kontokosta Winery, the Harborfront Inn, and Cove Place Inn, all on the North Fork of Long Island, as well as additional properties in New York City and the East End. He has also designed and received environmental approval for more than 150 units of affordable housing.

Recent Projects

Energy Cost Burdens and Housing Affordability for Low-Income Households

View Project

Analyzing the Impacts of Urban Land Use Dynamics

View Project

Benchmarking, Feedback, and Behavior Change for Commercial Office Building Tenants

View Project

Data Quality and Reliability Metrics for Building Energy Disclosure Data

View Project

CommunitySense

View Project

Predicting Building-level Waste Generation and Recycling

View Project

Machine Learning Approaches to Predict and Target Building Energy Retrofits

View Project

Recent Publications

Bartosz Bonczak

Associate Research Scientist

bartosz.bonczak@nyu.edu
646.997.0530

Bartosz Bonczak is an Associate Research Scientist at CUSP working with Quantified Community and Building Informatics teams.

In his research, he applies data-driven approaches to improve building energy efficiency and the analysis of urban topogrpahy.

Bartosz received M.S. in Urban Informatics from CUSP (2015) and completed a B.S. (2009) and a M.S. (2011) in Geography with the focus on tourism at University of Lodz in his home country of Poland. Prior to joining CUSP he was Assistant Research Scientist at the Department of Geographical Sciences at University of Lodz.

Recent Projects

Energy Cost Burdens and Housing Affordability for Low-Income Households

View Project

Benchmarking, Feedback, and Behavior Change for Commercial Office Building Tenants

View Project

Data Quality and Reliability Metrics for Building Energy Disclosure Data

View Project

CommunitySense

View Project

Machine Learning Approaches to Predict and Target Building Energy Retrofits

View Project

Recent Publications

Nicholas Johnson

PhD Candidate and Assistant Research Scientist

Nicholas.johnson@nyu.edu
646.997.0590

Nicholas E. Johnson is a Ph.D candidate in Urban Science at the University of Warwick's Institute for the Science of Cities and an Assistant Research Scientist at NYU's Center for Urban Science and Progress.

He obtained a Masters degree from NYU’s Interactive Telecommunications Program in 2013 centering his work on exploring the impact and pervasiveness of waste streams in urban environments through physical computing and interaction design.  He has launched several citizen science initiatives and continues citizen-driven research as an organizer for the Public Laboratory for Open Technology and Science.  Nicholas’s current research focuses on the design and development of cyber-physical systems for monitoring urban environments and data-driven analyses to understand urban phenomena including waste generation and urban mobility,

Recent Projects

CommunitySense

View Project

Predicting Building-level Waste Generation and Recycling

View Project

Recent Publications

Awais Malik

Ph.D Candidate, Civil & Urban Engineering (NYU Tandon) and NYU CUSP

awais.malik@nyu.edu
646.997.0544

Awais Malik is a Ph.D. Candidate in Civil and Urban Engineering at NYU Tandon and a Research Assistant at NYU CUSP.

He graduated from Dartmouth College in 2013 with an A.B. in Engineering Sciences with Honors and a B.E. in Mechanical Engineering. He was a member of Dartmouth’s $300 House Initiative, and received the Dean of Faculty grant to design and test affordable housing solutions for Haiti. Awais joined CUSP’s inaugural class of graduate students in 2013, and was one of the first research assistants at the Kontokosta Research Group. Awais received a Master of Science in Applied Urban Science and Informatics from CUSP in 2014. For the past two years, he has worked on forming a unified, multi-factor index of resilience capacity for New York City neighborhoods: the Resilience to Emergencies and Disasters Index (REDI). Awais’ current research focuses on understanding urban resilience by measuring near real-time neighborhood activity.

Recent Projects

CommunitySense

View Project

Machine Learning Approaches to Predict and Target Building Energy Retrofits

View Project

Recent Publications

Stanislav Sobolevsky, PhD

Associate Professor of Practice, NYU CUSP

sobolevsky@nyu.edu
646.997.0527

Stanislav Sobolevsky is an Associate Professor of Practice at the Center for Urban Science and Progress at New York University and a Research Affiliate at the MIT Senseable City Lab.

Holds PhD (1999) and Doctor of Science habilitation degree (2009) in Mathematics. Dr. Sobolevsky teaches various data science and machine learning courses and applies his fundamental quantitative background to studying human behavior in urban context through its digital traces – spatio-temporal big data created by various aspects of human activity. His research interests cover network science, big data analytics, modeling of complex systems and the theory of differential equations. Authored one monograph, two textbooks and over 60 peer-reviewed papers in pure and applied mathematics, network science and mathematical modeling. His former professional experience includes research at MIT as well as research, teaching and administrative positions at Belarusian State University and Academy of Sciences of Belarus.

Recent Publications

Sokratis Papadopoulos

PhD Candidate

sokratis.papadopoulos@nyu.edu
646.705.3295

Sokratis is a PhD candidate in Civil and Urban Engineering at NYU’s Tandon School of Engineering and NYU CUSP.

He holds an MSc in Engineering Systems and Management from Masdar Institute, UAE (2015). His research interests lie between applied data science and optimization of building energy performance, with an emphasis on human actions.

Recent Projects

Benchmarking, Feedback, and Behavior Change for Commercial Office Building Tenants

View Project

Machine Learning Approaches to Predict and Target Building Energy Retrofits

View Project

Recent Publications

Yuan Lai

Ph.D. Candidate

yuan.lai@nyu.edu
646.997.0612

Yuan Lai is currently a Ph.D. candidate in Urban Systems in the Department of Civil and Urban Engineering at the NYU Tandon School of Engineering and CUSP.

Yuan Lai is a Ph.D. candidate in Urban Systems at NYU Tandon School of Engineering. His research focuses on urban informatics and data-driven city development. He holds a M.S. in Urban Informatics from NYU CUSP and a M.S. in Urban Planning, specializing in urban design and GIS, from State University of New York at Buffalo. Prior to joining CUSP, he practiced as an architect with Moshe Safdie on large-scale building design and master planning projects. He is an Accredited Professional of Leadership in Energy & Environmental Design specialized in neighborhood development.

 

Recent Projects

Analyzing the Impacts of Urban Land Use Dynamics

View Project

Recent Publications

Martin Traunmueller, PhD

Civic Analytics Fellow

martin.traunmueller@nyu.edu

Martin is an architect and digital urbanist from Austria who is a Civic Analytics Fellow with the Urban Intelligence Lab..

After his architecture studies in Vienna, Martin worked as design architect professionally in Dubai and Vienna before he joined the MSc Adaptive Architecture and Computation course at The Bartlett / UCL in 2011. His interested in investigating the physical and digital relationships between an urban environment and it’s inhabitants, especially in the field of urban pedestrian navigation, led him to an award of an Intel sponsorship for his PhD at the ICRI Cities / Department of Computer Science, UCL. After graduation, Martin joined CUSP / NYU as Civic Analytics Fellow where he currently focus on modelling pedestrian flows in urban environments.

Recent Publications

Ian Stuart

Graduate Research Assistant, Building Informatics

is1480@nyu.edu

Ian is currently pursuing a MS in Applied Urban Science and Informatics from NYU CUSP.

His primary research interests involve the application of data analysis to urban sustainability challenges and resource efficiency. He is also studying the potential for emerging, data-intensive technologies to bring about drastic change in urban systems like transportation, housing, and energy.

Ian’s experience includes work in urban design, environmental consulting, and civic technology. HIs study of cities began with a BA in Urban Studies from Stanford University. He also holds a Master’s of Environmental Management from Duke.

Recent Publications

Ryan Sims

Ryan Sims

Undergraduate Research Assistant

rts347@nyu.edu

As a Summer Research Student at CUSP, Ryan Sims works closely with PhD Candidate, Nicholas E. Johnson and Dr. Constantine E. Kontokosta to further the development of the Quantified Communities (QC). Ryan’s research goals are to understand, replicate, and improve the sensors which collect data from the QCs.

In addition to his research at CUSP, Ryan Sims is in route, as a college junior, to complete his undergrad at Northern Illinois University with a B.S. in Energy and Environmental Engineering Technology

Recent Publications

Raka Dey

Undergraduate Research Assistant

raka.dey@nyu.edu

Raka Dey is a rising senior at the NYU Tandon School of Engineering currently pursuing her BS in Sustainable Urban Environments. She is at CUSP for the summer doing research on the Qualified at Hudson Yards project. Aside from engineering, she has focused her studies on architecture, public policy, and urban planning. Through her research here, she hopes not only to gain skills in data science, but also combine her various academic interests. Raka will continue her research on this project during the school year through her Smart Cities class.

Recent Publications

Recent Projects

Recent Publications