The cities around us create a wealth of data every day. The question is how to visualize, interpret and respond to this data to build a better city. In this session, we will explore the intersection of design and technology as it relates to urban planning and look at the way data collection, sensors and systems in smart cities are implemented. We will discuss the opportunities for sustainability that these strategies present and what city regulations and infrastructure are needed to optimally utilize this information and implement them.
Cities around the world have begun to utilize data and systems to improve everything from traffic congestion to pneumatic waste collection. These types of data analytics present opportunities to help improve energy efficiency, safety, CO2 emissions, and waste within a city and more. New York City has already begun to collect building performance data under Local Law 84 and is now starting to roll-out systems like LinkNYC which provide free Wi-Fi and digital tools around the city, while project’s like Hudson Yards are creating the first “quantified community” in the United States. The generation of and collection of this information has the potential to impact both the physical environment as well as the way we interface with our city.
This is the first of a series of multidisciplinary sessions hosted by Urban Green to address critical issues facing New York City. The goal for each session is to bring together the most pertinent group of designers, academic thinkers, and policymakers for a conversation that is mutually beneficial and that will help to advance the level of thinking on these complex issues.
8:30 - 9:00 am Breakfast
9:00 - 11:00 am Program
Miguel A. Gamiño Jr.
Chief Technology Officer, City of New YorkConstantine E. Kontokosta
Deputy Director for Academics, NYU Center for Urban Science and ProgressJeff Merritt
Director of Innovation, City of New YorkRichard Plunz
Director, Urban Design Lab, Columbia UniversityLuis Rodriguez
Director, Product Management, Internet of Things, IBM