[GeoIT.org] International Journal of Geo-information (IJGI) ::: CfP Special Issue on "Human-Centric Data Science for Urban Studies"

Bernd Resch bernd.resch at sbg.ac.at
Di Dez 5 18:31:23 CET 2017


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http://www.mdpi.com/journal/ijgi/special_issues/Human-Centric_Data_Urban

*Special Issue:* Human-Centric Data Science for Urban Studies**
*Journal*: International Journal of Geo-Information 
<www.mdpi.com/journal/ijgi> (JIF 
1.502)<http://www.cogitatiopress.com/urbanplanning>

*Submission Deadline:* 31 July 2018

In the past decade, the concept of smart cities has been greatly driven 
by the idea of an IT-infused city, that is, an urban system enriched 
with a number of different information technologies to support urban 
management and planning. However, most previous smart city research 
initiatives have promoted techno-positivistic approaches, which 
oftentimes do not account enough for the citizens' needs. Thus, this 
Special Issue focuses on a more human-centric view of smart cities. A 
variety of large-scale datasets, sensing technologies, geo-participation 
initiatives, collaborative mapping tools, and data science approaches 
have emerged that have the potential to help us in gaining a better 
understanding of urban processes and how to convert them into concrete 
urban planning and management actions. These new developments have led 
to a previously unknown situation in urban science, namely the 
transformation from data-scarce to data-rich research environments. To 
optimally leverage these new datasets and technologies, the GIScience 
community is currently developing innovative methods that go well beyond 
traditional geospatial analysis, including multidisciplinary approaches 
combining methods from GIScience, computer and data science, urban 
science, sociology, computational linguistics, complex systems and 
networks, a.o. This Special Issue encourages the submission of both 
basic research papers and application-oriented contributions in the area 
of urban data science, dedicating a particular focus to human-centric 
approaches.

*DATA SOURCES*

  * Human sensing technologies
  * Social media and VGI
  * Mobile phone networks
  * OSM and OGD
  * Participatory geo-technologies

*METHODS*

  * Spatio-temporal analysis of urban processes
  * Geo-infused self-learning systems and machine learning approaches
  * Statistical analysis of urban processes and structures
  * Sentiment analysis and emotion extraction
  * Dynamic, spatio-temporal geovisualisation
  * Multidisciplinary research (GIScience, computer and data science,
    urban science, sociology, computational linguistics, complex systems
    and networks, a.o.)

*APPLICATION AREAS*

  * Urban planning and management
  * Mobility and transportation
  * Wellbeing, quality of life and livability
  * Energy infrastructure planning and management


*Editors: *Bernd Resch (University of Salzburg, Austria; 
bernd.resch at sbg.ac.at), Michael Szell (European Central University, 
Hungary; peter.zeile at kit.edu)


--

*Ass.-Prof. Dr. Bernd Resch**| **Assistant Professor*

University of Salzburg | Department of Geoinformatics - Z_GIS

Schillerstrasse 30 | 5020 Salzburg, Austria

Phone: +43 (0)662 8044 7551 | Fax: +43 (0)662 8044 7560
E-mail: _bernd.resch at sbg.ac.at <mailto:bernd.resch at sbg.ac.at>_| 
<http://www.zgis.at/>http://www.zgis.at

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