Open data, entre business et intérêt général Les modes d’organisation administrative inspirés depuis les années 1970 du concept de nouvelle gestion publique ont modifié en profondeur la perception classique de la place et du rôle de l’État dans la société. Max Weber écrivait déjà en 1905 dans L'Éthique protestante et l'esprit du capitalisme que "dans la mesure où l'individu est intriqué dans le réseau du marché, l'ordre économique lui impose les normes de son agir économique". Ainsi pourrait-il en être de même pour l’administration qui, aujourd’hui, voit ses missions transformées pour tenir compte des évolutions de la société "hypermoderne" telle que définie par Gilles Lipovetsky. La réutilisation des données publiques En droite ligne avec la logique du marché commun et sous l’impulsion des nouvelles technologies de l’information et de la communication, l’Union européenne s’est intéressée dès la fin des années 1990 à la réutilisation des données publiques produites par les États membres. L’open data et la valorisation économique
The Collective Legal Guide For Designers (Contract Samples) What Separates a Good Data Scientist from a Great One - Thomas C. Redman by Thomas C. Redman | 9:00 AM January 28, 2013 Companies that wish to take full advantage of their data must build strong, new, and different organizational capabilities. There is a lot to do, and data scientists are front and center. A good one can help you find relationships in vast quantities of disparate data — often important insights that you would not have gotten in any other way. Over the years I’ve had the privilege of working with dozens, maybe hundreds, of good statisticians, analysts, and data scientists. 1. But the great ones take this trait to an extreme. 2. What’s important here is that thousands of others did not see the error. Mathematics has turned out to provide a convenient, amazingly-effective language (Einstein used the phrase “unreasonably effective”) for describing the real world. 3. This is a really big deal. Great data scientists also persist in making themselves heard. 4. Great data scientists embrace uncertainty. Great data scientists are truly special.
Big Data, Social Media and the Long Tail of Public Policy Preamble You may have noticed that I didn't publish last week; as a result this week's article is both weightier and lengthier. Accordingly I decided to experiment a bit by providing a TL;DR version of the article up front, namely: Public Engagement via Social Media + Big Data Analytics = Future of Public Policy.How I got there ... To say that either Linked Data or Big Data are new would be a mischaracterization; to say that they are still new to government on the other hand is likely a fair assessment. Linked Data: A Primer For the unfamiliar, linked data is simply a way of structuring data so that it can be easily aligned with other data sets; linking data together increases its usefulness by providing richer strategic overviews or by facilitating a greater depth of analysis. If you are interested in seeing the quality of public policy analysis that properly linked data can inform Hans Rosling’s demonstration below is a prime example: Big Data: A Primer Abundance is the common denominator
Open Data et mobilité : lancement du concours MoovIn The City organisé par la Ville de Paris, RATP, SNCF, La Fonderie IDF et Vélib Open Data et mobilité : lancement du concours Moov’In The City organisé par la Ville de Paris, RATP, SNCF, La Fonderie IDF et Vélib’ 5 grands acteurs de la mobilité à Paris et en Île-de-France annoncent l’ouverture du concours “Moov’In The City”. A partir des données ouvertes par l’ensemble des partenaires, les participants disposent de deux mois pour créer des services web, des applications mobiles et des datavisualisations facilitant les déplacements au quotidien. Grâce aux dernières données mises à disposition, tous les grands modes de transport (métro, train, vélo, RER, bus, tramway, etc.) pourront être combinés, pour améliorer l’information des voyageurs, la fluidité des correspondances, la réactivité face aux incidents tout en limitant la pollution et en améliorant, in fine, la qualité de vie des Parisiens et Franciliens dans une ville en mouvement. Lancement (le 21 mai) Le programme : Informations et inscriptions :
The Weekly Flickr celebrates Mother’s Day In this edition of The Weekly Flickr, we asked you to help us celebrate those special women in our lives: mothers. We wanted you to share your photos of them and tell us the best advice she’s ever given to you. What better way to celebrate Mother’s Day than to hear their wise words that inspire our lives! We received countless photos and testimonials from participants, and here you’ll find a selection of them submitted to us. Happy Mother’s Day! After you’ve watched the video, be sure to check out the photos in our “Mother’s Day” galleries. “The best advice she gave me is to lead a happy, healthy and full life — such as hers. “The best advice my mother gave me was, ‘Don’t ever let the negative things in life get you down.’” – ✈ Sean Marc Lee 李子仁 “The best advice my mom ever gave me was to save money. “The best advice she ever gave me was you have to remember to always smile and keep your head up because your smile could make anyone’s day. Do you want to be featured on The Weekly Flickr?
To Work with Data, You Need a Lab and a Factory - Thomas C. Redman and Bill Sweeney by Thomas C. Redman and Bill Sweeney | 8:00 AM April 24, 2013 Companies that aim to score big over the long term with big data must do two very different things well. They must find interesting, novel, and useful insights about the real world in the data. And they must turn those insights into products and services, and deliver those products and services at a profit. While the two goals are mutually reinforcing, companies actually require two distinct departments. For the second, companies should set up and manage a “data factory,” staffed by process engineers and others with deep technical skills who “get the job done”; a tight structure that promotes consistency, scale, and decreasing unit cost; a shorter-term focus; and a culture that values quality and revenue above all else. Companies must not confuse the separate roles. The laboratory. We want to doubly emphasize these points because promises of just the opposite are so loud. The factory. There are two keys to success here.
The Rise of Big Data Everyone knows that the Internet has changed how businesses operate, governments function, and people live. But a new, less visible technological trend is just as transformative: “big data.” Big data starts with the fact that there is a lot more information floating around these days than ever before, and it is being put to extraordinary new uses. Big data is distinct from the Internet, although the Web makes it much easier to collect and share data. In the third century BC, the Library of Alexandria was believed to house the sum of human knowledge. This explosion of data is relatively new. Given this massive scale, it is tempting to understand big data solely in terms of size. To continue reading, please log in. Don't have an account? Register Register now to get three articles each month. As a subscriber, you get unrestricted access to ForeignAffairs.com. Register for free to continue reading. Registered users get access to three free articles every month. Have an account?
RSLN #9 - Opendata : et nous, et nous, et nous ? IRS targeted groups critical of government, documents from agency probe show The staffers in the Cincinnati field office were making high-level decisions on how to evaluate the groups because a decade ago the IRS assigned all applications to that unit. The IRS also eliminated an automatic after-the-fact review process Washington used to conduct such determinations. Marcus Owens , who oversaw tax-exempt groups at the IRS between 1990 and 1999, said that delegation “carries with it a risk” because the Cincinnati office “isn’t as plugged into what’s [politically] sensitive as Washington.” Owens, now with the firm Caplin & Drysdale, said that before the agency’s most recent reorganization, it had a series of “tripwires in place” that could catch unfair targeting, including the fact that the IRS identified its criteria for special scrutiny in a public manual. The IRS came under withering attack from GOP lawmakers Sunday. In March 2012, then-IRS Commissioner Douglas H.
Pundits: Stop Sounding Ignorant About Data - Andrew McAfee by Andrew McAfee | 11:00 AM April 23, 2013 The current surge of enthusiasm around big data has produced a predictable backlash. Some of it, like Gary Marcus’s New Yorker post “Steamrolled by Big Data,” is insightful and well-reasoned (even though I have my quibbles with some of his points). This is not surprising, since he’s a neuroscientist as well as a writer, and so quite comfortable with data. Unfortunately, some other prominent commentators clearly aren’t. So as a public service here’s a short list, written for non-quant-jock pundits, of things to keep in mind always when writing about data and its uses. Absolute Certainty is Not the Goal (Because It’s Impossible). Data geeks desperately want to make better predictions using the seas of digital information available today. People are Not Inherently Better at Making Decisions, Predictions, Judgments, and Diagnoses. And this is exactly the problem. How many of these glitches are there?
Program Ottawa, Canada – April 17, 2013 Ottawa Convention Centre Register for the conference now. We live in the data age. The smart use of this 21st Century resource offers an unprecedented opportunity to place Canada at the forefront of innovation, build our economy, catalyze research and development and improve the openness and responsiveness of government. The third edition of The Data Effect, in Ottawa in April 2013, will explore the emerging data revolution and how Canada should embrace it. The Data Effect: Tomorrow’s Canada Today will address how the prudent and innovative use of Big Data can improve outcomes in such areas as health care, drug and social policy research and public safety, to name a few. This day long event will offer leaders in government, the private sector and researchers a practical special briefing that surveys the best practices and opportunities being created by the Big Data revolution in Canada and around the world. NB: Agenda subject to change Mr.
Universities Offer Courses in a Hot New Field - Data Science The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics. Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.