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The Scoreboards Where You Can’t See Your Score • ©[NYTimes.com]

The Scoreboards Where You Can’t See Your Score - NYTimes.com

The characters in Gary Shteyngart’s novel “Super Sad True Love Story” inhabit a continuously surveilled and scored society.

Consider the protagonist, Lenny Abramov, age 39. A digital dossier about him accumulates his every health condition (high cholesterol, depression), liability (mortgage: $560,330), purchase (“bound, printed, nonstreaming media artifact”), tendency (“heterosexual, nonathletic, nonautomotive, nonreligious”) and probability (“life span estimated at 83”). And that profile is available for perusal by employers, friends and even strangers in bars.

It’s a fictional forecast of a data-deterministic culture in which computer algorithms constantly analyze consumers’ profiles, issuing individuals numeric rankings that may benefit or hinder them.

Observing a street billboard that publicly broadcasts the score of each passer-by, the Abramov character says in the novel, “The old Chinese woman had a decent 1,400, but others, the young Latina mothers, even a profligate teenaged Hasid puffing down the street, were showing blinking red scores below 900, and I worried for them.”

In two nonfiction books, scheduled to be published in January, technology experts examine similar consumer-ranking techniques already in widespread use.

via The Scoreboards Where You Can’t See Your Score – NYTimes.com.

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We need open models, not just open data – O’Reilly Radar • ©[radar.oreilly.com]

We need open models, not just open data - O'Reilly Radar

… if you’re not careful, modelling has a nasty way of enshrining prejudice with a veneer of “science” and “math.”Cathy has consistently made another point that’s a corollary of her argument about enshrining prejudice. At O’Reilly, we talk a lot about open data. But it’s not just the data that has to be open: it’s also the models. (There are too many must-read articles on Cathy’s blog to link to; you’ll have to find the rest on your own.)

You can have all the crime data you want, all the real estate data you want, all the student performance data you want, all the medical data you want, but if you don’t know what models are being used to generate results, you don’t have much.

via We need open models, not just open data – O’Reilly Radar.

How Helsinki Became the Most Successful Open-Data City in the World [theatlanticcities.com]

HELSINKI, Finland — If there’s something you’d like to know about Helsinki, someone in the city administration most likely has the answer. For more than a century, this city has funded its own statistics bureaus to keep data on the population, businesses, building permits, and most other things you can think of. Today, that information is stored and freely available on the internet by an appropriately named agency, City of Helsinki Urban Facts.

There’s a potential problem, though. Helsinki may be Finland’s capital and largest city, with 620,000 people. But it’s only one of more than a dozen municipalities in a metropolitan area of almost 1.5 million. So in terms of urban data, if you’re only looking at Helsinki, you’re missing out on more than half of the picture.

Helsinki and three of its neighboring cities are now banding together to solve that problem. Through an entity called Helsinki Region Infoshare, they are bringing together their data so that a fuller picture of the metro area can come into view.

That’s not all. At the same time these datasets are going regional, they’re also going “open.” Helsinki Region Infoshare publishes all of its data in formats that make it easy for software developers, researchers, journalists and others to analyze, combine or turn into web-based or mobile applications that citizens may find useful.

via How Helsinki Became the Most Successful Open-Data City in the World – Olli Sulopuisto – The Atlantic Cities.

Avez-vous la carte du magasin? / Do you have the shop card?

plerudulier

 

shop card

Do you have the shop card‘ is the sentence I hear every time I check out in every store I go to. Says a lot about:

  • How poor their memory is since I regularly shop there (where else? It’s not like this region counts that many shopping places)
  • How stupid I am not having any since I’m a regular customer there.
  • How awkward it is there is no common system, like a generic card one would cary around with said memberships of whatever shop one would
    have.

Avez-vous la carte du magasin‘ est la phrase que j’entends chaque fois que je passe en caisse de tous les magasins auquels je me rends. Ceci en dit long sur:

  • La mauvaise qualité de leurs mémoires puisque j’y fais régulièrement mes achats (où d’autre d’ailleurs? Ce n’est pas comme si cette région comptaient tant que ça de magasins).
  • Ma…

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Are you ready for the era of ‘big data’? – McKinsey Quarterly – Strategy – Innovation

The era of big data also could yield new management principles. In the early days of professionalized corporate management, leaders discovered that minimum efficient scale was a key determinant of competitive success. Likewise, future competitive benefits may accrue to companies that can not only capture more and better data but also use that data effectively at scale. We hope that by reflecting on such issues and the five questions that follow, executives will be better able to recognize how big data could upend assumptions behind their strategies, as well as the speed and scope of the change that’s now under way.

L’ère des grandes données pourrait également céder nouveaux principes de gestion. Dans les premiers jours de la gestion d’entreprise professionnalisée, les dirigeants ont découvert que la recherche de la grandeur efficace minimale a été un facteur clé de succès dans la compétition. De même, les futurs avantages concurrentiels peuvent revenir à des entreprises qui peuvent non seulement saisir des données plus et mieux, mais aussi utiliser ces données de manière efficace à grande échelle. Nous espérons que par une réflexion sur ces questions et les cinq questions qui suivent, les dirigeants seront mieux en mesure de reconnaître comment l’ampleur des données pourrait consolider des hypothèses derrière leurs stratégies, ainsi que la vitesse et la portée du changement qui est maintenant en cours.

via Are you ready for the era of ‘big data’? – McKinsey Quarterly – Strategy – Innovation.

Open Data : l’éco-système français se construit petit à petit::Gestion des données::LeMagIT

En matière d’Open Data , la France avance lentement ses pions. Cette semaine, le mouvement des données publiques a connu des avancées clés dans l’hexagone : l’ouverture de la première place de marché des données et la publication de la licence ouverte qui définit le cadre juridique de l’utilisation des données publiques. De quoi structurer un marché, en préambule à l’ouverture du portail national data.gouv.fr en décembre 2011.

via Open Data : l’éco-système français se construit petit à petit::Gestion des données::LeMagIT.

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