Romain Dillet at TechCrunch: “After four long months of speculations and political maneuvering, the French Government finally announced that France is getting its first Chief Data Officer….
First, it’s all about pursuing Etalab’s work when it comes to open data. The small team acted as a startup and quickly iterated on its central platform and multiple side projects. It came up with pragmatic solutions to complicated public issues, such as public health data or fiscal policy simulation. France is now the fourth country in the United Nations e-government survey.
Now, the CDO will have even more official and informal legitimacy to ask other ministries to release data sets. It’s not just about following open government theories — it’s not just about releasing public data to serve the public interest. The team can also simulate new policies before they are implemented, and share recommendations with the ministries working on these new policies.
When a new policy is written, the Government should evaluate all the ins and outs of it before implementation. Citizens should expect no less from their government.
At a larger scale, this nomination is very significant for the French Government. For years, its digital strategy was mostly about finding the best way to communicate through the Internet. But when it came to creating new policies, computers couldn’t help them.
Also announced today, the Government is modernizing and unifying its digital platform between all its ministries and services — it’s never too late. The CDO team will work closely with the DISIC to design this platform — it should be a multi-year project.
Finally, the Government will invest $160 million (€125 million) to innovate in the public sector when it makes sense. In other words, the government will work with private companies (and preferably young innovative companies) to improve the infrastructure that powers the public sector.
France is the first European country to get a Chief Data Officer…”
Experiments on Crowdsourcing Policy Assessment
Paper by John Prpić, Araz Taeihagh, and James Melton Jr for the Oxford Internet Institute IPP2014: Crowdsourcing for Politics and Policy: “Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of policy measures? In this work, we investigate these questions by undertaking experiments designed to replicate expert policy assessments with non-expert Crowds recruited from Virtual Labor Markets. We use a set of ninety-six climate change adaptation policy measures previously evaluated by experts in the Netherlands as our control condition to conduct experiments using two discrete sets of non-expert Crowds recruited from Virtual Labor Markets. We vary the composition of our non-expert Crowds along two conditions: participants recruited from a geographical location directly relevant to the policy context and participants recruited at-large. We discuss our research methods in detail and provide the findings of our experiments.”
Full program of the Oxford Internet Institute IPP2014: Crowdsourcing for Politics and Policy can be found here.
Journey tracking app will use cyclist data to make cities safer for bikes
Springwise: “Most cities were never designed to cater for the huge numbers of bikes seen on their roads every day, and as the number of cyclists grows, so do the fatality statistics thanks to limited investment in safe cycle paths. While Berlin already crowdsources bikers’ favorite cycle routes and maps them through the Dynamic Connections platform, a new app called WeCycle lets cyclists track their journeys, pooling their data to create heat maps for city planners.
Created by the UK’s TravelAI transport startup, WeCycle taps into the current consumer trend for quantifying every aspect of life, including journey times. By downloading the free iOS app, London cyclists can seamlessly create stats each time they get on their bike. They app runs in the background and uses the device’s accelerometer to smartly distinguish walking or running from cycling. They can then see how far they’ve traveled, how fast they cycle and every route they’ve taken. Additionally, the app also tracks bus and car travel.
Anyone that downloads the app agrees that their data can be anonymously sent to TravelAI, creating an accurate and real-time information resource. It aims to create tools such as heat maps and behavior monitoring for cities and local authorities to learn more about how citizens are using roads to better inform their transport policies.
WeCycle follows in the footsteps of similar apps such as Germany’s Radwende and the Toronto Cycling App — both released this year — in taking a popular trend and turning into data that could help make cities a safer place to cycle….Website: www.travelai.info“
The Stasi, casinos and the Big Data rush
Book Review by Hannah Kuchler of “What Stays in Vegas” (by Adam Tanner) in the Financial Times: “Books with sexy titles and decidedly unsexy topics – like, say, data – have a tendency to disappoint. But What Stays in Vegas is an engrossing, story-packed takedown of the data industry.
It begins, far from America’s gambling capital, in communist East Germany. The author, Adam Tanner, now a fellow at Harvard’s Institute for Quantitative Social Science, was in the late 1980s a travel writer taking notes on Dresden. What he did not realise was that the Stasi was busy taking notes on him – 50 pages in all – which he found when the files were opened after reunification. The secret police knew where he had stopped to consult a map, to whom he asked questions and when he looked in on a hotel.
Today, Tanner explains: “Thanks to meticulous data gathering from both public documents and commercial records, companies . . . know far more about typical consumers than the feared East German secret police recorded about me.”
Shining a light on how businesses outside the tech sector have become data addicts, Tanner focuses on Las Vegas casinos, which spotted the value in data decades ago. He was given access to Caesar’s Entertainment, one of the world’s largest casino operators. When chief executive Gary Loveman joined in the late 1990s, the former Harvard Business School professor bet the company’s future on harvesting personal data from its loyalty scheme. Rather than wooing the “whales” who spent the most, the company would use the data to decide which freebies were worth giving away to lure in mid-spenders who came back often – a strategy credited with helping the business grow.
The real revelations come when Tanner examines the data brokers’ “Cheez Whiz”. Like the maker of a popular processed dairy spread, he argues, data brokers blend ingredients from a range of sources, such as public records, marketing lists and commercial records, to create a detailed picture of your identity – and you will never quite be able to pin down the origin of any component…
The Big Data rush has gone into overdrive since the global economic crisis as marketers from different industries have sought new methods to grab the limited consumer spending available. Tanner argues that while users have in theory given permission for much of this information to be made public in bits and pieces, increasingly industrial-scale aggregation often feels like an invasion of privacy.
Privacy policies are so long and obtuse (one study Tanner quotes found that it would take a person more than a month, working full-time, to read all the privacy statements they come across in a year), people are unwittingly littering their data all over the internet. Anyway, marketers can intuit what we are like from the people we are connected to online. And as the data brokers’ lists are usually private, there is no way to check the compilers have got their facts right…”
The Behavioral Change Matrix – A Tool for Evidence-Based Policy Making
FehrAdvice (Switzerland):” Der im “Behavioral Economics Guide 2014″ erschienene Beitrag von FehrAdvice zur Behavioral Change Matrix steht Ihnen nun auch als Einzeldokument zum Download zur Verfügung”. Download (PDF, 487KB) (English)
Google's fact-checking bots build vast knowledge bank
Hal Hodson in the New Scientist: “The search giant is automatically building Knowledge Vault, a massive database that could give us unprecedented access to the world’s facts
GOOGLE is building the largest store of knowledge in human history – and it’s doing so without any human help. Instead, Knowledge Vault autonomously gathers and merges information from across the web into a single base of facts about the world, and the people and objects in it.
The breadth and accuracy of this gathered knowledge is already becoming the foundation of systems that allow robots and smartphones to understand what people ask them. It promises to let Google answer questions like an oracle rather than a search engine, and even to turn a new lens on human history.
Knowledge Vault is a type of “knowledge base” – a system that stores information so that machines as well as people can read it. Where a database deals with numbers, a knowledge base deals with facts. When you type “Where was Madonna born” into Google, for example, the place given is pulled from Google’s existing knowledge base.
This existing base, called Knowledge Graph, relies on crowdsourcing to expand its information. But the firm noticed that growth was stalling; humans could only take it so far. So Google decided it needed to automate the process. It started building the Vault by using an algorithm to automatically pull in information from all over the web, using machine learning to turn the raw data into usable pieces of knowledge.
Knowledge Vault has pulled in 1.6 billion facts to date. Of these, 271 million are rated as “confident facts”, to which Google’s model ascribes a more than 90 per cent chance of being true. It does this by cross-referencing new facts with what it already knows.
“It’s a hugely impressive thing that they are pulling off,” says Fabian Suchanek, a data scientist at Télécom ParisTech in France.
Google’s Knowledge Graph is currently bigger than the Knowledge Vault, but it only includes manually integrated sources such as the CIA Factbook.
Knowledge Vault offers Google fast, automatic expansion of its knowledge – and it’s only going to get bigger. As well as the ability to analyse text on a webpage for facts to feed its knowledge base, Google can also peer under the surface of the web, hunting for hidden sources of data such as the figures that feed Amazon product pages, for example.
Tom Austin, a technology analyst at Gartner in Boston, says that the world’s biggest technology companies are racing to build similar vaults. “Google, Microsoft, Facebook, Amazon and IBM are all building them, and they’re tackling these enormous problems that we would never even have thought of trying 10 years ago,” he says.
The potential of a machine system that has the whole of human knowledge at its fingertips is huge. One of the first applications will be virtual personal assistants that go way beyond what Siri and Google Now are capable of, says Austin…”
Station display shows waiting commuters the best train carriage to get on
Springwise: “When a train arrives into a station, it’s often the case that travelers aren’t spread evenly along the platform and are huddled in the same spot. This is annoying for both commuters and operators because it means carriages get full while others are left empty and leads to longer boarding times. In the Netherlands, the NS Reisplanner Xtra app has already offered train users a way to find a seat using their smartphone. Now the country’s Edenspiekermann design agency has developed a platform-length LED display which provides real-time information on carriage crowdedness and other details.
Created for train operators ProRail and NS with the help of design researchers STBY, the service consists of a 180-meter long color LED strip that spans the length of the platform. The display aims to give commuters all the information they need to know where they should wait to get on the right carriage. Numbers show whether the carriage is first or standard class, and the exact position the doors will be is also marked. Symbols show the carriages that are best for bikes, buggies, wheelchairs and large luggage, as well as quiet carriages. The boards also work with infrared sensors located on each train that detect how full each carriage is. A green strip means there are seats available, a yellow strip indicates that the carriage is fairly crowded and a red strip means it’s full.
Website: www.edenspiekermann.com“
EU-funded tool to help our brain deal with big data
EU Press Release: “Every single minute, the world generates 1.7 million billion bytes of data, equal to 360,000 DVDs. How can our brain deal with increasingly big and complex datasets? EU researchers are developing an interactive system which not only presents data the way you like it, but also changes the presentation constantly in order to prevent brain overload. The project could enable students to study more efficiently or journalists to cross check sources more quickly. Several museums in Germany, the Netherlands, the UK and the United States have already showed interest in the new technology.
Data is everywhere: it can either be created by people or generated by machines, such as sensors gathering climate information, satellite imagery, digital pictures and videos, purchase transaction records, GPS signals, etc. This information is a real gold mine. But it is also challenging: today’s datasets are so huge and complex to process that they require new ideas, tools and infrastructures.
Researchers within CEEDs (@ceedsproject) are transposing big data into an interactive environment to allow the human mind to generate new ideas more efficiently. They have built what they are calling an eXperience Induction Machine (XIM) that uses virtual reality to enable a user to ‘step inside’ large datasets. This immersive multi-modal environment – located at Pompeu Fabra University in Barcelona – also contains a panoply of sensors which allows the system to present the information in the right way to the user, constantly tailored according to their reactions as they examine the data. These reactions – such as gestures, eye movements or heart rate – are monitored by the system and used to adapt the way in which the data is presented.
Jonathan Freeman,Professor of Psychology at Goldsmiths, University of London and coordinator of CEEDs, explains: “The system acknowledges when participants are getting fatigued or overloaded with information. And it adapts accordingly. It either simplifies the visualisations so as to reduce the cognitive load, thus keeping the user less stressed and more able to focus. Or it will guide the person to areas of the data representation that are not as heavy in information.”
Neuroscientists were the first group the CEEDs researchers tried their machine on (BrainX3). It took the typically huge datasets generated in this scientific discipline and animated them with visual and sound displays. By providing subliminal clues, such as flashing arrows, the machine guided the neuroscientists to areas of the data that were potentially more interesting to each person. First pilots have already demonstrated the power of this approach in gaining new insights into the organisation of the brain….”
How Thousands Of Dutch Civil Servants Built A Virtual 'Government Square' For Online Collaboration
Federico Guerrini at Forbes: “Democracy needs a reboot, or as the founders of Democracy Os, an open source platform for political debate say, “a serious upgrade”. They are not alone in trying to change the way citizens and governments communicate with each other. Not long ago, I covered on this blog a Greek platform, VouliWatch, which aims at boosting civic engagement following the model of other similar initiatives in countries like Germany, France and Austria, all running thanks to a software called Parliament Watch.
Other decision making tools, used by activists and organizations that try to reduce the distance between the people and their representatives include Liquid Feedback, and Airesis. But the quest for disintermediation doesn’t regard only the relationship between governments and citizens: it’s changing the way public organisations work internally as well. Civil servants are starting to develop and use their internal “social networks”, to exchange ideas, discussing issues and collaborate on projects.
One such thing is happening in the Netherlands: thousands of civil servants belonging to all government organizations have built their own “intranet” using Pleio (“government square”, in Dutch) a platform that runs on the open source networking engine Elgg.
It all started in 2010, thanks to the work of a group of four founders, Davied van Berlo, Harrie Custers, Wim Essers and Marcel Ziemerink. Growth has been steady and now Pleio can count on some 75.000 users spread in about 800 subsites. The nice thing about the platform, in fact, is that it is modular: subscribers can collaborate on a group and then start a sub group to get in more depth with a smaller team. To learn a little more about this unique experience, I reached out for van Berlo, who kindly answered a few questions. Check the interview below.
Where did the Pleio idea come from?Were you inspired by other experiences?
The idea came mainly from the developments around us: the whole web 2.0 movement at the time. This has shown us the power of platforms to connect people, bring them together and let them cooperate. I noticed that civil servants were looking for ways of collaborating across organisational borders and many were using the new online tools. That’s why I started the Civil Servant 2.0 network, so they could exchange ideas and experiences in this new way of working.
However, these tools are not always the ideal solution. They’re commercial for one, which can get in the way of the public goals we work for. They’re often American, where other laws and practices apply. You can’t change them or add to them. Usually you have to get another tool (and login) for different functionalities. And they were outright forbidden by some government agencies. I noticed there was a need for a platform where different tools were integrated, where people from different organisations and outside government could work together and where all information would remain in the Netherlands and in the hands of the original owner. Since there was no such platform we started one of our own….”
France: Rapport de la Commission Open Data en santé
“La Commission « open data en santé », qui s’est réunie de novembre 2013 à mai 2014, avait pour mission de débattre, dans un cadre pluraliste associant les parties prenantes, des enjeux et des propositions en matière d’accès aux données de santé.
Ce rapport, remis le 9 juillet 2014 à Marisol Touraine, Ministre des Affaires sociales et de la Santé, retrace les travaux et discussions de la Commission :
Ce rapport, remis le 9 juillet 2014 à Marisol Touraine, Ministre des Affaires sociales et de la Santé, retrace les travaux et discussions de la Commission :
- Un panorama de l’existant (partie 1) : définitions des concepts, état du droit, présentation de la gouvernance, présentation de l’accès aux données du SNIIRAM et du PMSI, cartographie des données de santé et enseignements tirés des expériences étrangères ;
- Les enjeux pour l’avenir (partie 2) ;
- Les actions à mener (partie 3) : données à ouvrir en open data, orientations en matière de données réidentifiantes, données relatives aux professionnels et aux établissements.
Ce rapport a été adopté consensuellement par l’ensemble des membres de la commission, qui partagent des attentes communes et fortes.”
Rapport final commission open data (pdf – 1 Mo) – [09/07/2014] – [MAJ : 09/07/2014]