Special Issue "Human-Centric Data Science for Urban Studies"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 April 2019) | Viewed by 119765
2. Center for Geographic Analysis, Harvard University, Cambridge, MA 02138, USA
Interests: human-centred geoinformatics; geospatial machine learning; urban geoinformatics; fusion of human and technical sensors; people as sensors and collective sensing (VGI); real-time and smart cities; crowdsourcing; digital health
Special Issues, Collections and Topics in MDPI journals
Special Issue in ISPRS International Journal of Geo-Information: Advances in Social Network Analysis – Spatio-Temporal and Semantic Methods
Special Issue in Sensors: Wearable Sensors for Health and Physiological Monitoring
Special Issue in ISPRS International Journal of Geo-Information: Applications and Implications in Geosocial Media Monitoring
Special Issue in International Journal of Environmental Research and Public Health: 2nd Edition: Experiencing the City: The Relation between Urban Design and People’s Wellbeing
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.
- Human sensing technologies
- Social media and VGI
- Mobile phone networks
- OSM and OGD
- Participatory geo-technologies
- 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.)
- Urban planning and management
- Mobility and transportation
- Wellbeing, quality of life and livability
- Energy infrastructure planning and management
Assist. Prof. Bernd Resch
Assist. Prof. Michael Szell
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.