UrbanGIS 2017

The Third International Workshop on Smart Cities and Urban Analytics (UrbanGIS) 2017

NOVEMBER 7, 2017

Paper Submission: September 19, 2017

Notification of Acceptance: October 10, 2017

Camera Ready Paper Due: October 17, 2017

Paper Submission Site: https://easychair.org/conferences/?conf=urbangis2017



Welcome to the Second International Workshop on Smart Cities and Urban Analytics 2017, in conjunction with the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)

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 spatio­temporal 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.


Research Topics

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


Submission Guidelines

Submissions should be at most 8 pages for full papers and at most 4 pages for short papers/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.


Workshop Organizers

  • Bill Howe, University of Washington
  • Huy T. Vo, CCNY/NYU-CUSP

Paper Chair

  • Harish Doraiswamy, NYU CDS

Steering Committee

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

Program Committee

  • Alex Chohlas-Wood, New York Police Department
  • ­Theo Damoulas, University of Warwick
  • Rishee Jain, Stanford University
  • James T. Klosowski, AT&T Labs – Research
  • Marcos Lage, Federal Fluminense University
  • Beibei Li, Carnegie Mellon University
  • Carlos Scheidegger, University of Arizona
  • Mai Vu, Tufts University
  • Lucien Wilson, Kohn Pedersen Fox Associates PC
  • Zheng Yang, Stanford University
  • Jianting Zhang, City College of New York
  • Kai Zhao, New York University
  • Yu Zheng, Microsoft Research

Invited Speaker


NOVEMBER 7, 2017

Technical talks are 15 minutes each including time for Q&A.