Sep 23, 2014 – Sep 23, 2014
Submission Deadline: May 23, 2014
Notification Due: Jun 13, 2014
Final Version Due: Jun 27, 2014
Full-Day Workshop on Geographic Information Observatories 2014
at GIScience 2014; 8th International Conference on Geographic Information Science Vienna – September, 23-26.
Workshop Description and Scope
Over 20 years since Geographic Information Science was established as a bona fide scientific field of inquiry and with the subsequent explosion of spatial data sources from satellites to sensors and mobile devices, the geographic information universe is rapidly expanding. However, in many respects the nature and structure of this information universe is poorly understood. Traditionally, GIScience research has focused on the relationships between theoretical information models and the geographic phenomena that they are representing. In this workshop we would like to explore the idea of expanding GIScience research to empirically examine the structure of the geographic information universe itself, with the hope that a better understanding of this universe will ultimately give us new insights into how this information can be utilized. This includes both observational and experimental approaches to science. Can we develop a research road map for future observatories of the geographic information universe?
GIScience was established to study the theory and concepts that lie behind Geographic Information Systems and other related technologies. This allowed researchers to ask more general and foundational questions and to explore topics such as usability and representation using scientific methods instead of a purely engineering based perspective. Nonetheless GIScience remained a kind of supporting science that investigates, develops, optimizes, and evaluates the methods, techniques, and tools required by researchers in the broader geosciences such as geographers, ecologists, geologists and so forth. [There are also counter-examples such as the field of spatial cognition that is situated between GIScience and cognitive science (and not a support science).] As GIS and GIScience gained more visibility, the developed tools, methods, and theories were applied in other domains such as economics and archeology.
This led to another broadening of GIScience represented by the notion of spatial sciences. The key insight was that many scientific domains require expertise in spatial aspects or study spaces that are closely related to geographic space. This gave birth to spatial centers such as spatial@UCSB that serve as nexus for researchers interested in spatial questions. Examples for involved domains include cognitive and brain sciences, religious studies, chemistry, the digital humanties, and so forth. Nonetheless, one could argue that GIScience and spatial science remain supporting sciences that deliver services to other disciplines. Consequently, in many geography departments, GIScience and related areas are still summarized under labels such as methods, techniques, computation, and so forth. [For instance, the Annals of the Association of American Geographers use Methods, Models, and GIS as section name.] It is not widely recognized that GIScience is the information science perspective on geography and on the same level as physical and human geography. GIScience does not depend on other domains and branches (of geography) but is a (meta) science in its own rights.
There have been several attempts to overcome this narrow perspective. For instance, Skupin and Fabrikant have investigated spatialization methods for non-geographic information visualization. One example for such work is the landscape of a music folksonomy derived by using self-organizing map. Similar to the idea of spatial sciences, the core insight is the fact that research methods from GIScience can also be applied to other research questions and domains. To give another example, Couclelis’ recent work outlines an ontological perspectives on geographic information layers, while Kuhn introduces core concepts for spatial information. Both focus on the characteristics of information . Kuhn, for instance, makes this very explicit by stating that the selected core concepts are informed by the available (types of) spatial data. The Oxford Internet Institute publishes Internet and information geographies using the slogan Understanding life online .
With this workshop, we would like to go one step further and expand the presented arguments not only to the developed methods but also to areas of study, namely the geographic information universe. For instance, one could investigate (as recently proposed by van Harmelen) whether there are laws of the information universe, observe how the types, media formats, and data models of geographic information change as a function of new technology, e.g., Google Glass, study the dispersion of information, spatiotemporal scientometrics, and so forth. How could we create such geographic information observatories based on current cyber-infrastructures, knowledge graphs, and the geographic information universe?
Finally, it is worth mentioning that this is not an entirely new idea. In fact, the new research direction of Web Science established by Berners-Lee, Hendler, Shadbolt, and others, calls for an interdisciplinary science of the Web as a large-scale cyber-social-system. Areas of study for Web Science include motivational topics (e.g., the VGI phenomenon), the interaction between social dynamics, creativity, and technologies as enablers, dispersion of information on the Web, provenance, and so forth. Along similar lines, Sheth and others proposed Physical-Cyber-Social Computing as a holistic study of data and knowledge from physical, cyber, and social environments to provide contextually specific abstractions to human users. Thus, our workshop can be understood as the GIScience contribution to these emerging fields.
Topics of interest include (but are not limited to):
Describing the ecosystem (universe) of geographic information now and in the future.
Social network analysis of geographic information communities: communities identification, expertise, and authority discovery.
Information Retrieval and the role of geospatial science.
Relationships between crowdsourced geographic data and data from authoritative infrastructures; how to integrate data across these different types of sources
Analysis of applicability of geographic laws (e.g., Tobler’s law) to learn from Big Data.
Discovery of laws for the information universe.
Discovery of geographic information and knowledge from unstructured data (e.g., social media).
Measuring prediction success of GIScience methods for real-world situations.
Finding correlations / causal relationships between communities / demographic groups of data producers and the types/quality/value of geographic data they generate.
Searching over geographic data networks that are highly heterogeneous and distributed.
Automatic matching of geographic data to fit analysis tasks.
Studying the relationships between how technologies are used and the kinds of geographic information they produce.
Link discovery from Big Data.
Analysis and representation of change and events in observed information feeds.
The dispersion of geographic information (in online communities).
Information Value Theory
Cyber-infrastructure needs for geographic information observatories.
The workshop will focus on intensive discussions setting a roadmap towards future work on geographic information observatories. The workshop will accept two kinds of contributions, full research papers presenting new work in the indicated areas, as well as statements of interest. While the research papers will be selected based on the review results adhering to classical scientific quality criteria, the statements of interest should raise questions, present visions, and point to the open gaps. However, statements of interest will also be reviewed to ensure quality and clarity of the presented ideas. The presentation time per speaker will be restricted to 5 minutes for statements of interest and 10 minutes for full papers. This ensures that there is enough time for discussions, interactions, and breakout group leading to a typical workshop setting instead of a mini-conference.
Submissions shall be made through easychair at https://www.easychair.org/conferences/?conf=gio2014 by 23 May 2014.
To register for the workshop, please visit http://www.giscience.org/registration.html.
Submission due: 23 May 2014
Acceptance Notification: 13 June 2014
Camera-ready Copies: 27 June 2014
Workshop: 23 September 2014
Krzysztof Janowicz, University of California, Santa Barbara, USA
Ben Adams, University of Auckland, NZ
Grant McKenzie, University of California, Santa Barbara, USA
Tomi Kauppinen, Aalto University School of Science in Finland, FIN
Justin Cranshaw, Carnegie Mellon University, USA
Sara Fabrikant, University of Zurich, Switzerland
Mark Gahegan, University of Auckland, New Zealand
Mike Goodchild, University of California, Santa Barbara, USA
Mark Graham, University of Oxford, UK
Brent Hecht, University of Minnesota, USA
Peter Kiefer, ETH Zurich, Switzerland
Peter Mooney, National University of Ireland Maynooth, Ireland
Ross Purves, University of Zurich, Switzerland
Simon Scheider, University of Muenster, Germany
Andre Skupin, San Diego State University, USA