Google Maps has been an incredible service in the past years. Not only it was Google’s engineers, who invented the slippy map, which revolutionized digital maps, but its approach to offer such a service for free and shock competitors with a free routing service. Google has a tremendous overview on all activities on the Internet; billions of search queries everyday say a lot about people’s personalities. With analytics in websites, Google tracks people’s paths from one page to the next.

We are just at the beginning of this massive data collection endavour. TomTom now throws out their gadgets for free just to get real-data from their users. Ironically, it came out recently that they sold the real-time traffic data to the Dutch police. That kind of data collection is not appreciated, all other data collection is agreed on with a small click by accepting the terms of service.

The author Daniel Suarez is worried about the future with his new book: “Understanding the Daemon.” It is still fiction, but that can change soon: “Computers have learnt from us with every Google search, with every „I like“-click. Now they are beginning to change us“. Every time we click, we feed the system called Internet and the outcome is not yet known. Ironically, the features of web 2.0 have incredibly helped to feed the system. Each recommendation, rating, each link, makes the data analysis better. But I am really worried that this is not always for the better. The open available data sets are peanuts compared to data sets of Google or Facebook likes. The question is also what data shall or can be public?

Data becomes more important than hardware. Apple is so eager to collect data that they spy on iPhone users activities and obliged users to do so over their terms of services. I have read a nice comparison: It is like buying a car and you are obliged to not use the seat belt. But things are not for free, although many services draw that illusion. Companies will at one point need to earn money with these adventures.

That’s why Google Maps has changed their terms recently. Websites, which use Google Maps are from now on obliged to “forward display any advertising delivered in the maps imagery“. An obvious and, from a company perspective, understandable move. Perhaps Google will invade millions of pages with advertisement soon. I am sure it is only a matter of time when these companies start to make money with personal data.

That’s why projects like Openstreetmaps are so important because there is an attempt to offer valuable geo data without restrictions. There is an uneven race for getting data open for more transparency and, for example, for better citizen services. Recently, companies, such as Nike, have started to provide open data. However, I get the sense it is just a public relation move; or will they soon provide data up and down the supply chain, so one can follow up how sneakers are being produced? The crowdsourcing potential for such open and free data will keep growing if more and more people join the process. However, these type of data collection is tiny compared to the huge commercial data sets. Ironically, commercial companies now “exploit” Openstreetmap data because it is so good.

That is one big reasons why I co-founded the Open Knowledge Foundation Germany two months ago – to work more on transparency projects.

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David Wilcox asked me on Quora this question, which I also want to publish as a response here to discuss the topic further. Would be great to get some more thoughts on that topic from you. I imagine we can learn a lot from digital inclusion in Africa. Here are some points:

The art of improvisation

When it comes to access, the innovation under constraints is amazing in Africa. Look, for example, how the challenge of energy supply has been greatly mastered. I think that in Europe we address inclusion only from few angles and should be more creative. We could focus a lot more on mobile phones and offer real needed services even through SMS. Suddenly, we can potentially reach over 90% of people, but most important, we need to play a lot more with technology and hack it where we can. A lot is happening in this regard in the UK, on the contrary Germany, where technological skepticism is still hampering innovations, or where one faces legal implications when offering open wifi.

I like these to posts very much:

• Innovation from Constraint by Ethan Zuckerman
• If It Works in Africa, It Will Work Anywhere by Erik Hersman

However, to me one of the biggest challenges is media competency, and not only in Germany but in the rest of the world.

Service models

If we have not reached enough people through the Internet, it might be that most services do not address a real need and do not offer sufficient help. Isn’t the Internet in Europe largely focused towards the middle class? Where are web solutions or services focused on marginal groups? Here information literacy is the key: “… empower people in all walks of life to seek, evaluate, use and create information effectively to achieve their personal, social, occupational and educational goals” UNESCO

I wish there would be more solutions such as “Rate my Prison“ from the first social innovation camp or or “My Police“. Unfortunately “Rate my Prison” seem not to have been developed further.

Look at the public sector for example and see how little is offered here in Germany. There is a city website, but hardly any online services. On the other hand, Fixmystreet is still a rare exception. The whole world of apps unleashes here a new creativity, but if you really want to get inspired for future mobile services, you need to look at Africa. In Africa solutions such as Farmer’s friend (SMS price information) attempt to reach also poor people in remote areas. Where are such business models in Europe?

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iPhone app to check the place of origin of eggs. Photo by Barcoo.com

As open data becomes more popular, I wonder where are the nonprofit and business models for open data? It is clear that somehow open data needs to generate revenues, because it will not only work with voluntary efforts. I did a little research to find interesting approaches to do more with open data.

A good starting point are existing open data initiatives, such as London or San Fransisco. One area of applications are all types of visualizations, which can help to highlight hidden information behind the data. A nice example is Betterflux, which offers a nice visualization tool for the open data World Bank API. Carolyn Mellor desribes in her post “Mining World Bank Data” how to offer paid analysis services using the World Bank API.

Fireworkers

Lorenz Matzat, a fellow blogger from the open data blog of the ZEIT magazine in Germany, wrote about an intriguing case to use open data at the Amsterdam fire brigade. Once a fire alarm starts, all sorts of data is collected about the location and the route to the emergency: Constructions on the way, latest updates from Openstreetmap, the type of house and if possible more data such as construction dates, materials, people living there, etc. A great case of how open public institutions themselves can benefit from open data. However, it is an example of how open data can easily collide with privacy. How many data should be freed for the sake of emergency.

Public transport

Everybody who has a smart phone might have already benefitted from a location-based public transport application, which gives you for example information on bus or train lines close to you. These applications would not have been possible without access to public transport information. In Germany, from my experience, in almost all cases the private applications are superior to the ones from public transport companies. An interesting example of what can be done with such data is the London Live Tube.

Also, ICommute takes the available data from the San Fransisco open data store and offers a mobility check tool. “ICommute SF helps you locate, organize and access route information and real-time arrival predictions for San Francisco’s Muni system. Get the most of public transit and improve your daily commute.” The app costs $2,99 dollars. I would be curious to know how many sales it takes to get at least the development costs back or even make a profit.

Kids life

Again, in San Fransisco an idea came up to provide better information for kids’ lives. “What choices are there as kids travelling to & from school”. After School provides a map for specific locations: Schools, libraries and playgrounds. It also offers places to eat – questionable places such as McDonalds. A commercial approach, again through an Iphone app, is done by MomMaps – It seems they do not offer a “Dadmaps.” Mommaps offers places such as parks, playgrounds, restaurants, museums in over a dozen cities in the USA. The app is for free, but I could not identify the business model.

Food

Nutrition is another interesting sector to use open data, which I discovered lately. Everyblock has for years food inspection data on their website and in the UK there is an Iphone app by the Lichfield district council: Ratemyplace. “Every time a council in the Ratemyplace scheme carries out an inspection of a food business’s kitchen, it’s listed on the Ratemyplace app.”

Another really interesting approach is Food Sprout. It combines different data sets to make transparent how the food is produced, up and down the supply chain. And they also come up with various revenue models. Check out the interview at the great Food and Tech blog. Interestingly companies seem to have growing interest to make their supply chain transparent in their corporate social responsibility efforts. These are the data sources of Food Sprout:

A last example for food is the whole potential behind barcode scanning – you take your mobile phone to the supermarket and scan products to get the information behind the fair trade certificate or behind the company. In the recent dioxin scandal in Germany, the company Barcoo took information from the ministry of agriculture in Germany, of which farms have intoxicated eggs and offer the info in their app. So, you can check in the supermarket the eggs that are fine and not with your mobile phone.

Conclusion

There are still very few business models for open data. Maybe because there is still little open data available and that might be hampering the development. Although if you look at Openstreetmap or CKAN, there are  large data sets offered. Besides Iphone apps, there is also no revenue model and any other is more of an experiment still. It seems way easier to start with open data as a nonprofit project.

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Let’s say one day you arrive at work – a mainly knowledge-driven organization, such as a consultancy, where you don’t have an office, not even a position, nor a particular function. So to start your day, you first get a selection of all projects, ideas and problems that your organization is dealing with at the moment.

Half of your working day is already subscribed to ongoing projects, and the other half you could jump into something new. You look at various open tasks, questions, ideas or requests for solutions – all these items have a chronology of contributions and interactions. You can see what has been already done and what is needed.  You find an interesting challenge, estimate the working time and send an invitation to a colleague, who has the skills and might be interested on working together on it.

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Bing bird's eye view of the Brandburger Gate in Berlin

Digital cartography has made map making a lot easier. But If a map contains a lot of data or specific data, it can become a complex or costly adventure. Despite the efforts around open data, still the majority of data is not publicly available, and if so only for high costs. Crowdsourcing is one alternative to collect data for maptivism, but maybe some of these approaches will not soon be needed if automated mapping is further progressing.

Automated mapping

It is quite impressive and a bit scary to see the pace of innovation around digital recognition. Its aim is to make more information available from the offline world. Google is on the frontrun of digital recognition with another example: 3D trees in Google Earth. Google has chosen parks in 50 cities around the world to identify in an automated process trees out of satellite images.

“With 3D trees in Google Earth, we’ve brought characteristic trees to life, from the palm trees that dot San Francisco’s bayfront Embarcadero Street, to the olive trees that cling to the Acropolis in Athens, to the flowering dogwoods found in Tokyo’s parks. All told, there are around 50 different tree species to explore in Google Earth and counting!”

Consequences for mapping

A while ago I blogged about the crowdsourcing Urban Forest Map in San Francisco. Its goal is to map all trees in the city. Now at least the work for the park is not needed anymore if Google is giving out the data. Thousands of people from the Openstreetmap community use satellite imagery from Yahoo to draw shapes of buildings into maps. Is that becoming obsolete soon? What needs to be manually mapped? Of course a lot, because most of such data will not necessarily be publicly available. One example is real-time data. Check this post on maptivism: live tactical mapping for protest swarming.

Here, we are also getting in a dilemma. Such a virtualization of trees can contribute to the protection of forests. Imagine the mapping happens within days and deforestation in the rain forest can be act on quickly. However, what else can be mapped? If trees can be classified, all kind of objects can be classified if digital recognition software becomes increasingly powerful. Check for example the bird’s eye view from Bing, where you can see detailed aerial imagery (see image), not to mention Google street view.

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