Session Abstract

Cities are increasingly publishing data about their operations while also internally using data to improve the effectiveness and quality of services through optimization, predictive analytics, and other methods. This represents new opportunities for collaboration between cities, national laboratories, and universities in areas ranging from scalable data infrastructure to tools for data analytics, along with challenges such as replicability of solutions between cities, integrating and validating data for scientific investigation, and protecting privacy. For many urban questions, new data sources will be required with greater spatial and/or temporal resolution, driving innovation in the use of sensor in mobile devices as well as embedded sensing infrastructure in the built environment. Catlett will discuss the work that Argonne National Laboratory and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Urban Center for Computation and Data, focusing on key scalable data infrastructure, data analytics, and urban-scale sensor networks.