From bernd.resch at sbg.ac.at Wed Dec 5 07:56:39 2018 From: bernd.resch at sbg.ac.at (Bernd Resch) Date: Wed, 5 Dec 2018 07:56:39 +0100 Subject: [GeoIT.org] Special Issue on "Human-Centric Data Science for Urban Studies" ::: International Journal of Geo-information (IJGI) Message-ID: Please spread the word to your network! *Updated Deadline!* 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 (JIF 1.723) *Submission Deadline:* *30 April 2019* 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 _| http://www.zgis.at -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... URL: From bernd.resch at sbg.ac.at Wed Dec 5 12:32:04 2018 From: bernd.resch at sbg.ac.at (Bernd Resch) Date: Wed, 5 Dec 2018 12:32:04 +0100 Subject: [GeoIT.org] CORRECTED HYPERLINK: Special Issue on "Human-Centric Data Science for Urban Studies" ::: International Journal of Geo-information (IJGI) Message-ID: <76ed6c30-8424-2c91-e080-0af4c73f0085@sbg.ac.at> Sorry for the inconvenience - seems like there was an error with the *hyperlink. Now corrected.* Please spread the word to your network! *Updated Deadline!* 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 (JIF 1.723) *Submission Deadline:* *30 April 2019* 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 _| http://www.zgis.at -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... 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