Join us to learn more about an incredible civic technology, SQUID (http://bigapps.nyc/project/1502/squid-street-quality-identification-device), which stands for Street Quality Identification Device. It is a low-cost, scalable method of performing citywide street quality measurements. Our speaker, Varun Adibhatla, will also discuss ARGO (http://argolabs.org/) Lab's civic data science framework i.e. integrating device, data and decision-making towards urban tech solutions.
Varun Adibhatla [@vr00n (https://twitter.com/vr00n)] is a founding member at ARGO (http://argolabs.org/) Labs, a civic data science organization that rapidly prototypes around device, data and decision-making towards delivering new solutions for old city problems. ARGO's Team built Street Quality Identification Device or SQUID (http://bigapps.nyc/project/1502/squid-street-quality-identification-device) - a low-cost sensor platform that when mounted on city vehicles can perform citywide street surveys by integrating accelerometer data with images and empowers end users to prioritize street repairs and work towards preventative maintenance by using a complete dataset as opposed to 311/citizen reported data. With over $1.6 billion projected over 10 yrs in spending on street surfacing, Varun will demonstrate how SQUID is a scalable and sustainable way for NYC and other cities to make more informed and optimize decisions around street resurfacing. SQUID is a grant recipient of the Knight foundation's 2015 Prototyping Fund and was also a finalist at the 2015 NYC BIG APPS, Connected Cities category.
Varun is a recent graduate of NYU CUSP's Master's program in Urban Informatics. He also has a master's degree in Information Sciences from Penn State studying Human Computer Interaction.