The Chicago Booth Mobility and Cities group are pleased to invite you to our next webinar: How Cities Can Become Smarter: Sensors, Edge Computing and the Array of Things Project.
Zoom meeting hosted by the Chicago Booth Mobility and Cities group
18:00 BST (London) /19:00 Central European Time (CET) / 12:00pm CDT (Chicago)
There is a growing science community, spanning nearly every discipline, pursuing research related to the growth and operation of cities and the impact of such environments on the health and well-being of city dwellers.
With input from scientists, policymakers, and residents of Chicago, Argonne National Laboratory, Northwestern University, and the University of Chicago created the Array of Things (AoT)—a new form of intelligent urban measurement system implemented in partnership with the City of Chicago. AoT is an experimental urban observatory evaluating strategies, from sensors to edge computation, for providing data with greater spatial and temporal resolution than is currently available for understanding air quality, microclimate, vibration, noise, and other factors, providing measurements from hundreds of locations throughout the city.
AoT devices include embedded, remotely programmable artificial intelligence capabilities—"edge computing"—to process images, sound, vibration, and other data within the installed devices, creating measurements that cannot be obtained from traditional sensor networks. These new forms of measurement range from the flow of people and vehicles through public spaces to the impact of rail crossings on emergency response, and from detecting street flooding to measuring aggregate social factors such as the percentage of bicyclists wearing helmets or of pedestrians wearing face masks during social distancing periods. AoT provides open and free data along with tutorials, data analysis tools, and application programming interfaces.
A follow-on NSF Mid-Scale Research Infrastructure project, SAGE: Software Defined Sensor Network, is both significantly increasing the edge computing power and extending the open source tools and capabilities for users to analyze data and to develop software to run in the infrastructure.
Suggested pre-reading links:
19:00 - 19:05 CET/ 12:00pm - 12:05PM CDT Introduction
19:05 - 19:45 CET / 12:05pm - 12:45pm CDT Conference
19:45 - 20:00 CET / 12:45pm - 1:00pm CDTQ&A
Alberto Coloma '16 (EXP-21)
Zeina Nazer P.E. MSc. MBA PhD'21 (EXP-13)
Zoom information will be shared after registration.
Charlie Catlett (Speaker)
Senior Research Scientist at the Discovery Partners Institute of (DPI), University of Illinois
Charlie Catlett is a Senior Research Scientist at the Discovery Partners Institute of (DPI) of the University of Illinois. From 2000-2019 he was a Senior Computer Scientist at the U.S. Department of Energy's Argonne National Laboratory. He is a Senior Fellow at the University of Chicago's Mansueto Institute for Urban Innovation. He leads the NSF-funded "Array of Things" urban sensing and AI-at-the-edge project, now part of a new NSF-funded effort, SAGE, to embed AI in environmental and emergency response settings.
From 1985-2000 Charlie helped to establish the National Center for Supercomputing Applications (NCSA) and NSFNET, an early component of Internet. He was one of GovTech magazine's "25 Doers, Dreamers & Drivers" of 2016 and in 2019 as the Argonne Board of Governors Distinguished Performer. Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.