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Cyberinfrastucture and E-Social Science – Web 2.0?

By Cyberinfrastructure, E-Social Science

E-Research is an emerging indoctrination with new intellectual fields and techniques of research opening up across the disciplines.

Craig Stewart of the University of Indiana defines Cyberinfrastructure as:

Cyberinfrastructure consists of computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people, all linked together by software and high performance networks to improve research productivity and enable breakthroughs not otherwise possible.

Known in the UK as E-Social Science, Cyberinfrastructure we would argue is moving away from high performance network services such as GRID Computing and towards web based services which in turn could be seen as Web 2.0.

Tim O’Reilly’s compact definition of Web 2.0 is as follows:

Web 2.0 is the business revolution in the computer industry caused by the move to the internet as platform, and an attempt to understand the rules for success on that new platform. Chief among those rules is this: Build applications that harness network effects to get better the more people use them. (This is what I’ve elsewhere called “harnessing collective intelligence.”)

E-Social Science is perhaps a change in style of research, it embraces concepts of data sharing and breaking down silos which cause many social scientists difficulty – we have been to many conferences and presented work on Second Life, Google Maps and Google Earth to much criticism among the more traditional academics.

Indeed we would argue that the relationship between E-Social Science and the traditional social scientist is an uneasy one.

E-Research is tied to data as Ralph Schroeder of the Oxford Internet Institute is currently noting in his presentation at the Third International Conference on e-Social Science from which we are writing.

Social Shaping is key to this concept allowing the community at large to contribute too and produce data for interdisciplinary scientific analysis -this is where it ties back to Web 2.0, our own work on this blog on is firmly routed in Web 2.0, or is it Cyberinfrastructure?

See the newly revamped NCeSS website for more info on E-Science.

Communicating World Data: World Mapper

By Posts

Currently being shown at the Third International Conference for E-Social Science is World Mapper – World Mapper is a collaborative project from the University of Sheffield contains 366 unique views of the world.

The image below is indicative of the project detailing population:


In Spring 2000 world population estimates reached 6 billion; that is 6 thousand million. The distribution of the earth’s population is shown in this map.

India, China and Japan appear large on the map because they have large populations. Panama, Namibia and Guinea-Bissau have small populations so are barely visible on the map.

Population is very weakly related to land area. However, Sudan which is geographically the largest country in Africa, has a smaller population than Nigeria, Egypt, Ethiopia, Democratic Republic of Congo, South Africa and Tanzania.

Take a look at the World Mapper site

Google Earth – From the 3D City to Data Visualisation

By Data Visualisation, Google Earth

Reporting from the Community Systems Foundation Fifth Annual Conference in Ann Arbor, Michigan we take a look at their use and views of Google Earth.

Urban data has changed; distributed 3D cities are now a reality not in the platforms that we first thought would hold 3D data such as VRML or ViewPoint but in Google Earth and Microsoft’s Virtual Earth. The last two years has seen a phenomenal change, a tipping point in the visualisation of cities. Microsoft with their fleet of planes scanning cities around the world – 500 are planned in the next year – and Google with their more community orientated 3D Warehouse have changed how we view and communicate urban data.

Google Earth and increasingly Virtual Earth are becoming the platform of choice when distributing data and distributing this data is become increasingly easy.

Sandra L. Arlinghaus of the University of Michigan (where we are currently sat) has developed a model of Ann Arbor in Google Earth. Previously the model was developed in VRML, viewable via the parallel graphics plugin. The model now extends to the entire city with a focus on the University through the Google Build Your Campus competition.

The models load as default in Google Earth as a number of them are part of the best of the 3D Warehouse.

3D buildings are standard content nowadays and the research focus seems to be moving towards data visualisation rather then direct architecture per se. The image below shows population distribution in 1901 in the UK with data supplied by Professor Michael Batty (who is sat next to me).


You can view the paper on Visualising Rank and Size of Cities of Towns via the Institute of Mathmatical Geography at the University of Michigan.

This is of interest as only last week we produced a simple graph based visualisation of Kabala in Iraqi for work with the government to visualise growth and population statistics in Google Earth (pictured below)


Visualising data in Google Earth is both quick and easy allowing geographical associations to be examined on the data landscape which may or may not have been identified using more traditional visualisation techniques.

Roger Rayle has used Google Earth to visualise (pall Gelam) Dioxane Levels/Plume maps and Aquifer locations, of note the system is used not just as a communication tool but also as a decision making system. The data is visualised over time providing a genuinely impressive implementation of the technology developed for the Society of Residents for Safe Water.


Rogers notes that a picture is worth 1000 words, a 3D model is equivalent to 10,000 words and if you add in the forth dimension of time its worth 1000,000 words.

It is refreshing to see the free version of Google Earth being used as a professional tool and we will be moving to bottled water having seen the presentation…

See the Scio Residents for Safe Water site for more info and Google Earth files.

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