The first University of Chicago Convening on Urban Data Science, organized by the CI’s Urban Center for Computation and Data (UrbanCCD) and the UChicago Urban and sponsored by the Harris School for Public Policy, reflected this early stage of growth. There was ample enthusiasm about early projects using analytics, sensing, mapping, and both public and private data sources. There was excitement about the future and new collaborations formed across countries, disciplines, and public/private/academic spheres. But there were also passionate discussions about the ethical and moral implications of urban data science, an important reflection for a fast-growing field with the goal of improving policy and people’s lives.
Evaluating a new health care intervention can be a messy and costly process. The gold standard for measuring the effectiveness of a new intervention is a randomized controlled trial, splitting patients into a treated group and an untreated group and comparing the results. But humans are not laboratory animals; they don’t exist in a perfectly isolated environment free from outside influences. Furthermore, because clinical trials are expensive and take years to run, investigators often only get one shot at an evaluation, making it difficult or impossible to learn from the results and continuously adjust the intervention to make it more effective.
Last year, in an ornate downtown Chicago ballroom, the seeds were planted for a new multidisciplinary research network with an ambitious purpose: to understand and improve cities. By mixing together experts in computer science, public health, education, architecture, urban planning, art and social science, the Urban Sciences Research Coordination Network (USRCN) hoped to create versatile and knowledgeable teams that could find new approaches to study cities in a rapidly urbanizing world. Sixteen months later, the early fruits of those new collaborations helped inspire a new wave of discipline-crossing partnerships at the 2nd USRCN meeting, organized by the Urban Center for Computation and Data and held inside the world famous Art Institute of Chicago.
Cities draw their strength from community and diversity, when people from different backgrounds work together in close proximity on big problems. So to unleash the potential of city data, it only makes sense to replicate that mixing bowl effect in the context of research. To formally kick off the new Urban Sciences Research Coordination Network (USRCN), 80 experts representing a broad range of disciplinary knowledge met in downtown Chicago to forge new connections and grand ideas for projects that harness data for the benefit of the modern city.
Organized by the Urban Center for Computation and Data is the Urban Sciences Research Coordination Network (USRCN), a group funded by the National Science Foundation. The USRCN will leverage a unique and growing collection of data sets and research teams spanning The University of Chicago, the School of the Art Institute of Chicago, the City of Chicago, and Skidmore, Owings & Merrill, a global architecture firm designing city-scale urban infrastructure.