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1st International Workshop on Smart Cities & Urban Analytics (UrbanGIS)

Published on July 24, 2015

Now Taking Submissions!

The 1st International Workshop on Smart Cities and Urban Analytics (UrbanGIS) 2015 in conjunction with ACM SIGSPATIAL 2015
Seattle, WA, USA – November 3, 2015

Paper Submission: September 1, 2015 (midnight PT)
Notification of Acceptance: September 19, 2015
Workshop date: November 3, 2015
Paper Submission Site:

About half of humanity lives in urban environments today and that number will grow to 80% by the middle of this century; North America is already 80% in cities, and will rise to 90% by 2050. Cities are thus the loci of resource consumption, of economic activity, and of innovation; they are the cause of our looming sustainability problems but also where those problems must be solved. Smart cities are leveraging advanced analytics solutions, usually with spatio-temporal data, to support urban management and more informed decision making. Big urban data, if properly acquired, integrated, and analyzed, can take us beyond today’s imperfect and often anecdotal understanding of cities to enable better operations, informed planning, and improved policy.

Despite many efforts in tackling challenges of smart cities through big data and spatio(­-temporal) analysis, there is no standard spatio(­-temporal) data infrastructure able to support the wide range of requirements in different problem areas. This workshop will provide a forum for researchers from various domains to present their results and to work together toward developing such an infrastructure. This includes, but not limited to, techniques, policies, and standards required to acquire, process, and use spatio(-temporal) data,particularly in the urban context.

We are soliciting papers (including significant work-in-progress) that describe academic research efforts as well as applications and prototypes that leverage spatial or spatio­temporal data analysis to address urban challenges. Areas of research include but are not
limited to:

  • Application and experimental experiences in smart cities
  • Data indexing techniques for massive spatio-temporal dataset
  • Human mobility modeling and analytics
  • Large­-scale visualization of urban data
  • Machine learning for predictive models
  • Parallel and distributed computing of big urban data
  • Safety, security, and privacy for smart cities
  • Smart buildings, grids, transportation, and utilities
  • Social computing, sensing and IoT for smart cities
  • Streaming/real­time processing of spatio-temporal data
  • Urban informatics

Submissions should be at most 8 pages for full papers and at most 4 pages for short papers or work-in-progress, formatted according to ACM formatting guidelines. Papers will be evaluated by the program committee members for the significance and relevance of their research contributions, as well as their presentation. Short papers are expected to be work in progress or of smaller scale but the same evaluation criteria will be applied as for full papers.


  • Huy T. Vo, New York University
  • Juliana Freire, New York University
  • Claudio T. Silva, New York University

Program Committee:

  • Charlie Catlett, Argonne National Lab & University of Chicago
  • Alex Chohlas-Wood, New York Police Department
  • Theo Damoulas, University of Warwick
  • Bill Howe, University of Washington
  • James T. Klosowski, AT&T Labs – Research
  • Ming Li, University of Nevada – Reno
  • David Maier, Portland State University
  • Carlos Scheidegger, University of Arizona
  • Manuela Veloso, Carnegie Mellon University
  • Lucien Wilson, KPF & Columbia University
  • Jianting Zhang, City University of New York

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