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The Quantified Workplace: Despite the Hype, Not All That Useful Yet • ©[theatlantic.com]

The Quantified Workplace: Despite the Hype, Not All That Useful Yet — The Atlantic

Five or six years ago, companies realized that they were sitting on a wealth of data about their own employees. “People started to realize, ‘Wait a minute, there’s a lot of data in here that we’re not using. Some of it is wrong. It’s not very clean,'” says Josh Bersin, the founder of Bersin by Deloitte, an HR research and advisory arm of Deloitte. “But if we look at it like we look at customer data, we could probably make much better decisions about who to promote, where they should be in the company, what role they would be successful at.'”

Since then, the people-analytics industry has emerged, with companies using algorithms and Big Data to recruit and assess employees. One report from McKinsey Global Institute estimated that social technologies, such as internal networking tools, can boost not only employee happiness, but also productivity by up to 25 percent.

via The Quantified Workplace: Despite the Hype, Not All That Useful Yet — The Atlantic.

Beijing subway swipe data betrays social class • ©[newscientist.com]

Beijing subway swipe data betrays social class - tech - 20 February 2015 - New Scientist

BEIJING is an enormous city, sprawling over an area 10 times larger than Greater London. To get around China’s capital, many residents rely on the metro, swiping a smartcard each time they jump on or off. Could their swiping patterns reveal their class?

At the Beijing Institute of City Planning, researchers led by urban planner Ying Long have been poring over the smartcard records of millions of riders to see what their travel patterns reveal.

They explored two separate, week-long snapshots of public transportation activity taken two years apart, each including the movements of more than 8 million riders along the city’s bus and subway lines.

Earlier studies and surveys have identified impoverished residents based on multiple data streams, but the researchers were able to pick out such residents using smartcard data alone. They found that those who often travel long distances are likelier to live in remote, less-desirable areas, while unpredictable movement patterns can be a sign that someone does not have a stable job or housing.

via Beijing subway swipe data betrays social class – tech – 20 February 2015 – New Scientist.

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.

You Need an Algorithm, Not a Data Scientist • ©[hbr.org]

Consider a company that is selling electronic devices. Let’s say that historically they have been selling well to companies that value their fast delivery and the quality of their product. As time passes, the competition grows and a global trend for green products arises. The profile of the company’s perfect customer slowly shifts and could go unnoticed by manually examining the market. However, those small shifts are identifiable by algorithms that continuously monitor the historical sales cycle of the company, cross-referencing it with external sources, like social media posts and newspaper articles discussing these trends, and finding correlations with the propensity to buy. Due to the size of this information base and its unstructured nature, monitoring all those delicate changes in real time becomes an almost impossible task for a human analyst.

via You Need an Algorithm, Not a Data Scientist.

These Traffic Lights Predict Your Behavior To Give You A Speedier Commute – [fastcoexist.com]

These Traffic Lights Predict Your Behavior To Give You A Speedier Commute | Co.Exist | ideas + impact

There should be a German word for that feeling when you desperately need to be somewhere on time, and the traffic lights seem like they’re conspiring against you. When the greens feel especially short, the reds especially long, and both appear as if they’re in cahoots to keep you idling.

It’s not a conspiracy, but it is something called fixed time control. Most intersections, if they don’t have embedded sensors under the road, abide by traffic light timing determined by observed data from years or months past. Fixed time control based on historical data is usually pretty accurate for specific intersections, but what if entire cities coordinated their traffic lights to cut down on mass commute times and fuel use?

via These Traffic Lights Predict Your Behavior To Give You A Speedier Commute | Co.Exist | ideas + impact.

Miss a Payment? Good Luck Moving That Car – [NYTimes.com]

The thermometer showed a 103.5-degree fever, and her 10-year-old’s asthma was flaring up. Mary Bolender, who lives in Las Vegas, needed to get her daughter to an emergency room, but her 2005 Chrysler van would not start.

The cause was not a mechanical problem — it was her lender.

Ms. Bolender was three days behind on her monthly car payment. Her lender, C.A.G. Acceptance of Mesa, Ariz., remotely activated a device in her car’s dashboard that prevented her car from starting. Before she could get back on the road, she had to pay more than $389, money she did not have that morning in March.

via Miss a Payment? Good Luck Moving That Car – NYTimes.com.

Big Data Is Changing the Way We Get Well – [Mashable.com]

Big data is affecting on-the-floor work among caregivers in numerous ways. One of them is in the decision-making process, bedside.

With the advent of [electronic medical records],” said Mickey Lynch, director of commercial strategy and innovation at Cadient Group, “a physician has a much broader set of information upon which to establish a path forward. Meaning that now he or she can quickly view notes from previous visits, quickly access lab values and access test results perhaps administered by other physicians. All of which provides the physician with a far more robust clinical view of the patient.”

Another way big data is making changes — how medical facilities are managed and leveraged to optimize resources around patient-traffic trends.

via Big Data Is Changing the Way We Get Well.

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