- February 20, 2020
11:00 am - 12:00 pm
Please join NYU CUSP for our new seminar series, featuring leading voices in the growing field of Urban Informatics.
Our next seminar will feature Andrew Sonta, Stanford Graduate Fellow and PhD Candidate in the Department of Civil and Environmental Engineering at Stanford University, for a discussion on “Data-Driven Modeling of the Built Environment: A Human Perspective.”
Thursday, February 20, 2020
11:00am to 12:00pm
1201 Seminar Room
370 Jay Street
Brooklyn, NY 11201
The event is open to the public. Please RSVP below.
Data-Driven Modeling of the Built Environment: A Human Perspective.
Foundational human goals like productivity and well-being are the primary drivers of design and management for the built environment. Because of the built environment’s role in overall energy demand, our design and management decisions are also critical to our sustainable energy future. With the world rapidly urbanizing and the era of big data emerging, we now have the opportunity to address these human systems and built systems simultaneously and deliberately. This talk addresses this task in the context of commercial buildings, framing the human objective as productivity and the building objective as energy efficiency. Data from spatially and temporally granular sensors enable inference of both real-time human use of space in buildings as well as the structure of the social and organizational network of relationships among building occupants. This human system inference serves as a key input for designing and managing built systems in a way that promotes both collaboration among building occupants as well as energy-efficient control of the building. Across multiple scales of the built environment, this approach to understanding human-built interactions has the potential to transform the way we design and manage our cities.
Andrew Sonta is a Stanford Graduate Fellow and PhD Candidate in the Department of Civil and Environmental Engineering at Stanford University. As a member of the Urban Informatics Lab, he works on data-driven modeling, analysis, and design techniques that inform the design and operation of engineered urban systems for environmental and social goals. His work, which spans engineering, design, social science, and data science, aims to address urban sustainability challenges through a multidisciplinary approach. In addition to his research, he has taught seminar courses at Stanford and served as adjunct faculty in the architecture program at the University of San Francisco. His interest in urban built and social systems stems from growing up in the city of Chicago, which kept him nearby as he earned his BS from Northwestern University in civil engineering, summa cum laude, where he also studied economics and architecture. He holds an MS in civil engineering from Stanford University and expects to defend his dissertation in the spring.