[Ieee_vis] CFP - The 1st International Workshop on Smart Cities and Urban Analytics (UrbanGIS 2015)

[Huy T. Vo]

==================================================================
CALL FOR PAPERS:
The 1st International Workshop on Smart Cities and Urban Analytics
(UrbanGIS 2015)
in conjunction with ACM SIGSPATIAL 2015
Seattle, WA, USA - November 3, 2015
http://engineering.nyu.edu/urbangis2015/
==================================================================

IMPORTANT DATES:
Paper Submission: September 1, 2015 (midnight PT)
Notification of Acceptance: September 19, 2015
Workshop date: November 3, 2015
Paper Submission Site: https://easychair.org/conferences/?conf=urbangis2015


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.

Organizers:
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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.uni-tuebingen.de/pipermail/ieee_vis/attachments/20150708/2f51bc7a/attachment.html>