April 27-29, 2016

Chicago innovation exchange, 1452 E. 53rd St.

hyde park, Chicago, Illinois

The Urban Sciences Research Coordination Network and University of Chicago welcome academic, research, and industry leaders with interest in using data and data science to better understand, model, and ultimately influence urban systems, to attend the first University of Chicago Convening on Urban Data Science, a three-day series of speakers, panels, and workshops around the integration of social science, data ethics, and urban data science.  The convening will bring together scientists from disciplines ranging from the social, behavioral, and economic sciences to data science and applied mathematics, exploring a number of critical areas including platforms and methods for integrated data analysis and modeling, the use of social and observational (e.g. sensor networks) data to understand the dynamics of cities and inform urban policy, and the ethical and privacy implications of the increasing use of data from diverse sources in the social sciences.  Additionally, the convening will provide input to the Array of Things urban observatory system regarding its use to support social sciences, and will also be a platform for the discussion and dissemination of the draft final report of the OECD Global Science Forum (GSF) Expert Group on Research Ethics and New Forms of Data for Social and Economic Research.



Conference Participants and Audience

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This convening will bring together scholars and practitioners of social science with the urban data research and development community for three days of cross-disciplinary speakers, panels, and workshops.  With this in mind, the conference invites scientists, students, and other professionals from communities of research, development, and practice related to:

  1. Social sciences broadly defined (including social, policy, behavioral, economic, health, education, or human resource scientists)
  2. Data-driven urban policy and planning
  3. Data ethics and privacy
  4. Data analytics, machine learning, statistical and applied mathematics
  5. Data infrastructure, integration, and analysis tool and methods
  6. Urban embedded systems, sensing, and the intersection between urban design, architecture, and the Internet of Things.

 
 
 
 
 
 

For more information, contact:

Kate Kusiak Galvin

Executive Director

Urban Center for Computation and Data

katekusiak@uchicago.edu

p: (708) 525-5418

 

Anne Dodge

Program Director

UChicago Urban

acdodge@uchicago.edu

p: (773) 702-5116

www.urban.uchicago.edu