Chicago: City of Big Data
Cities have been collected data to manage day-to-day activities, such as filling pot holes, responding to 911 calls, crimes, and much more. But there is significant value to this data that extends beyond day-to-day management. The City of Chicago is using data science to drive decision-making by combining the variety of data from various city systems and public sources of data to predict events like food inspection issues, lead inspections and rodent outbreaks. Data science projects across the city involves a number of components from identifying key problems, using machine learning techniques, and deploying citywide experiments.Tom Schenk Jr., Chief Data Officer, City of Chicago will discuss how data science is used in Chicago to be more efficient and improve the quality of life for residents.
This event is sponsored by The Northwestern Institute on Complex Systems (NICO).