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The same goes for road traffic information. Think about congestion charges, other billing systems (rekeningrijden) and congestion information systems such as TomTom HD.
MIT senseable city, SMS activity during new year&#x2019;s eve now visualize our communication behaviour in a city on a grand aggregate level.
Our budget, the money we all raise through taxes an mandate to be spent on various causes is just one small facet of the information generated by our government. Really most anything generated by civil servants and governments should be accessible under a freedom of information law.
Measurements of our environment being fed back to us using visualization or being used to create environmental policy are another interesting example.
This is a pachube feed of particulate data predictions being scraped and fed by http://www.vervuilingsalarm.nl
And information about our world at the aggregate country level in Human Development Indexes and other measures.
This is visualized by Gapminder in videos such as the above one by Hans Rosling.
There are a ton of new challenges with this new flow of information.
The first challenge is to create and get the data. Various strategies are employed by companies and governments to rake in as much as they can. But more challenges lie in the control, access, and privacy of this data (actually these there are different sides of the same thing). Privacy is important in a fundamental sense, but what users care about is control which shapes the perception of their privacy.
And search is also an important issue especially with the huge amount of data and datasets being published right now around the world. The Guardian launched their government data search engine last week to help everybody search for data. Now it is our task to get the Netherlands (and other governments) on there.
This new trend of big data, heralds in a period when new disciplines become more important.
Some of the disciplines necessary: Data visualizer: to make aesthetically pleasing sense out of the deluge of data. Scalability engineer: to make sure the systems keep running smooth and swift and we don&#x2019;t see too many failwhales. Data mining: to extract deep knowledge from large amounts of data to help to create recommendations or fulfill tasks API designer: to make this data easily, meaningfully and legally accessible to other who want to create value on top of it.
These are also roughly the professional fields I&#x2019;m busy in.
And there are massive new opportunities for individuals, companies and governments to create value across the board.
If only to make better sense of ourselves, our family, our friends, our social circle, our neighborhood, our city, our country.
To make better sense of our world.
And to use that sense and the knowledge gained to improve your actions, your environment and the world in general.
That is the cycle of this presentation. Gather the data, analyze it, display it, reflect upon that and then act upon the realizations.
And after that iterate again from the beginning of course.