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

[Bernd Resch]

My apologies for re-posting this, but the link in the original email led 
to the wrong page. Now corrected. Sorry for any inconvenience I may have 
caused.
http://www.mdpi.com/journal/ijgi/special_issues/Human-Centric_Data_Urban

--

*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/>

Am 05.12.2017 um 18:31 schrieb Bernd Resch:
> Please spread the word!
> 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)
>
> *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; szellm at ceu.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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