Phantom Terrains →

Very cool project by Frank Swain, Daniel Jones, and Stefanie Posavec:

The map below visualises the wireless network landscape on a walk around BBC Broadcasting House. Stronger network signals are shown as wider shapes; the colour of each shape corresponds to the router’s broadcast channel (with white denoting modern 5Ghz routers), and the fill pattern denotes the network’s security mode.

Beneath the map is an audio recording of part of the same walk, as heard through the Phantom Terrains sonification interface. The sound of each network is heard originating from the router’s geographical location, producing clicks whose frequency rises with the signal strength — akin to a layered series of Geiger counters. Routers with particularly strong signals “sing” their network name (SSID), with pitch corresponding to the broadcast channel, and a lower sound denoting the network’s security mode.



GeoPrivacy’14 Proceedings

The proceedings of our 1st ACM SIGSPATIAL International Workshop on Privacy in Geographic Information Collection and Analysis have been published online:

We had a great workshop last week, with interesting discussions that showed how pressing the issue of privacy in geographic information is, and that there is still a lot to do. We are already planning some follow-up activities, so stay posted.

New paper out in JMIR Medical Informatics

We have new paper out in JMIR Medical Informatics, an open access journal that focusses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, and ehealth infrastructures:

Binyam Tilahun, Tomi Kauppinen, Carsten Keßler and Fleur Fritz (2014) Design and Development of a Linked Open Data-Based Health Information Representation and Visualization System: Potentials and Preliminary Evaluation. JMIR Medical Informatics 2(2):e31

Here’s the abstract:

Background: Healthcare organizations around the world are challenged by pressures to reduce cost, improve coordination and outcome, and provide more with less. This requires effective planning and evidence-based practice by generating important information from available data. Thus, flexible and user-friendly ways to represent, query, and visualize health data becomes increasingly important. International organizations such as the World Health Organization (WHO) regularly publish vital data on priority health topics that can be utilized for public health policy and health service development. However, the data in most portals is displayed in either Excel or PDF formats, which makes information discovery and reuse difficult. Linked Open Data (LOD)—a new Semantic Web set of best practice of standards to publish and link heterogeneous data—can be applied to the representation and management of public level health data to alleviate such challenges. However, the technologies behind building LOD systems and their effectiveness for health data are yet to be assessed.

Objective: The objective of this study is to evaluate whether Linked Data technologies are potential options for health information representation, visualization, and retrieval systems development and to identify the available tools and methodologies to build Linked Data-based health information systems.

Methods: We used the Resource Description Framework (RDF) for data representation, Fuseki triple store for data storage, and Sgvizler for information visualization. Additionally, we integrated SPARQL query interface for interacting with the data. We primarily use the WHO health observatory dataset to test the system. All the data were represented using RDF and interlinked with other related datasets on the Web of Data using Silk—a link discovery framework for Web of Data. A preliminary usability assessment was conducted following the System Usability Scale (SUS) method.

Results: We developed an LOD-based health information representation, querying, and visualization system by using Linked Data tools. We imported more than 20,000 HIV-related data elements on mortality, prevalence, incidence, and related variables, which are freely available from the WHO global health observatory database. Additionally, we automatically linked 5312 data elements from DBpedia, Bio2RDF, and LinkedCT using the Silk framework. The system users can retrieve and visualize health information according to their interests. For users who are not familiar with SPARQL queries, we integrated a Linked Data search engine interface to search and browse the data. We used the system to represent and store the data, facilitating flexible queries and different kinds of visualizations. The preliminary user evaluation score by public health data managers and users was 82 on the SUS usability measurement scale. The need to write queries in the interface was the main reported difficulty of LOD-based systems to the end user.

Conclusions: The system introduced in this article shows that current LOD technologies are a promising alternative to represent heterogeneous health data in a flexible and reusable manner so that they can serve intelligent queries, and ultimately support decision-making. However, the development of advanced text-based search engines is necessary to increase its usability especially for nontechnical users. Further research with large datasets is recommended in the future to unfold the potential of Linked Data and Semantic Web for future health information systems development.

Could Fighting Global Warming Be Cheap and Free? →


So here’s what you need to know: Climate despair is all wrong. The idea that economic growth and climate action are incompatible may sound hardheaded and realistic, but it’s actually a fuzzy-minded misconception. If we ever get past the special interests and ideology that have blocked action to save the planet, we’ll find that it’s cheaper and easier than almost anyone imagines.

Very optimistic column by Paul Krugman. I have always hoped that investing in alternative energy sources also makes sense from an economic point of view, and Krugman points to some detailed studies such as the New Climate Economy Report that seem to support that.

Nobel Prize for the brain’s GPS discovery →

The Nobel Prize for physiology or medicine has been awarded to three scientists who discovered the brain’s “GPS system”. UK-based researcher Prof John O’Keefe as well as May-Britt Moser and Edvard Moser share the award. They discovered how the brain knows where we are and is able to navigate from one place to another.

I guess spatial is special after all.