Archive for the 'tech' Category

Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

December 1, 2014

Social media fingerprints of unemployment, from detecting network components in tweet mining arxiv.org/abs/1411.3140 +
http://www.technologyreview.com/view/532746/twitter-exhaust-reveals-patterns-of-unemployment

Lots of press for an arxiv paper, viz:
Twitter “Exhaust” Reveals Patterns of Unemployment | MIT Technology Review

QT:{{”

So the team analysed the rate at which messages were exchanged between regions using a standard community detection algorithm. This revealed 340 independent areas of economic activity, which largely coincide with other measures of geographic and economic distribution. “This result shows that the mobility detected from geolocated tweets and the communities obtained are a good description of economical areas,” they say.

Finally, they looked at the unemployment figures in each of these regions and then mined their database for correlations with twitter activity.

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The Programmer’s Price

December 1, 2014

Programmer’s Price
http://www.newyorker.com/magazine/2014/11/24/programmers-price@10xmgmt: Talent agency for the developer stack, UI guru to datascientist, even a bioinformatician

American Chronicles NYer NOVEMBER 24, 2014 ISSUE
Want to hire a coding superstar? Call the agent.
BY LIZZIE WIDDICOMBE

QT:{{”
Solomon leaned back in his chair and flipped through a mental Rolodex of his clients. “I definitely have some ideas,” he said, after a minute. “The first person who comes to mind, he’s also a
bioinformatician.” He rattled off a dazzling list of accomplishments: the developer does work for the Scripps Research Institute, in La Jolla, where he is attempting to attack complicated biological problems using crowdsourcing, and had created Twitter tools capable of influencing elections. Solomon thought that he might be interested in AuthorBee’s use of Twitter. “He knows the Twitter A.P.I. in his sleep.”

And, like actual rock stars, rock-star developers come in a range of personality types. Guvench had briefed me at the coffee shop: front-end guys—designers and user-interface engineers—make products that interact with what he referred to as “normal” people. As a result, “they’re sort of hip,” he said. “Especially designers—they dress nicely.” The further you get down the “stack,” Guvench explained, “the more . . .” He paused. “ ‘Neckbeard’ is the word that comes to mind.” Back-end engineers, like data scientists and system administrators, “are the most brilliant people,” he said. “They may not be the most fun to talk to at a party, but they’re really fucking good at talking to computers.” Of course, he added, the stereotype doesn’t apply to his clients.
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Lego car becomes an avatar for a worm

November 30, 2014

#Lego car becomes an avatar for a worm http://www.engadget.com/2014/11/27/lego-car-becomes-an-avatar-for-a-worm Powered by adapting nematode neural #connectome for sound, instead of food

QT:{{"
Remember the OpenWorm project, in which researchers reproduced the
genome of a nematode worm digitally and made it wiggle around on a
screen? If you take the "brain" of that worm and use it to power a
robotic car, you end up with researcher Timothy Busbice’sWormBot. He
mapped the software into a Lego Mindstorms EV3 bot, then trained it to
follow sound the way a nematode follows food. When he whistles to
"call" the bot, it heads toward him and even stops and reverses if it
detects an obstacle (using the EV3’s sonar) — even though it was
programmed to do none of those things.

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Duffel Blog : NSA Intercepted Children’s Letters To Santa

November 30, 2014

#NSA Intercepted Children’s Letters To Santa http://www.duffelblog.com/2013/12/nsa-letters-to-santa N Pole address is non-US & OK for snooping HT @peterwsinger @DuffelBlog

Why Inventors Misjudge How We’ll Abuse Their Creations | WIRED

November 29, 2014

Why #Inventors Misjudge… Their Creations http://www.wired.com/2014/10/technological-innovation-oversights Their Blind spots (in hindsight), eg creating a phonograph w/o playback!

other Eye-Fi is decommissioning Evernote support – Third Party Application Discussions – Evernote User Forum

November 28, 2014

I just want to add to the chorus…. I find it rather upsetting that this great integration feature no longer works!

https://discussion.evernote.com/topic/73733-eye-fi-is-decommissioning-evernote-support

Why Are So Few Blockbuster Drugs Invented Today?

November 23, 2014

Why So Few Blockbuster #Drugs Invented Today? (Eroom’s law) http://www.nytimes.com/2014/11/16/magazine/why-are-there-so-few-new-drugs-invented-today.html Short answer: use of genomics v traditional pharmacology

QT:{{"
“If you read them now, the claims made for genomics in the 1990s sound
a bit like predictions made in the 1950s for flying cars and
anti-gravity devices,” Jack Scannell, an industry analyst, told me.
But rather than speeding drug development, genomics may have slowed it
down. So far it has produced fewer returns on greater investments.
Scannell and Brian Warrington, who worked for 40 years inventing drugs
for pharmaceutical companies, published a grim paper in 2012 that
showed the plummeting efficiency of the pharmaceutical industry. They
found that for every billion dollars spent on research and development
since 1950, the number of new drugs approved has fallen by half
roughly every nine years, meaning a total decline by a factor of 80.
They called this Eroom’s Law, because it resembled an inversion of
Moore’s Law (the observation, first made by the Intel co-founder
Gorden E. Moore in 1965, that the number of transistors in an
integrated circuit doubles approximately about every two years).

That’s not to say that target-based drug discovery, informed by
genomics, hasn’t had its share of spectacular successes. Gleevec, used
since 2001 to treat chronic myelogenous leukemia (C.M.L.) and a
variety of other cancers, is often pointed to as one of the great
gene-to-medicine success stories. Its design followed logically from
the identification of an abnormal protein caused by a genetic glitch
found in almost every cancer cell of patients with C.M.L.

Many of the drugs developed through target-based discovery, however,
work for only single-mutation diseases affecting a tiny number of
people. Seventy percent of new drugs approved by the F.D.A. last year
were so-called specialty drugs used by no more than 1 percent of the
population. The drug Kalydeco, for instance, was approved in 2012 for
people with a particular genetic mutation that causes cystic fibrosis.
But only about 1,200 people in the United States have the mutation it
corrects.
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Classic Pong on the App Store on iTunes

November 23, 2014

https://itunes.apple.com/us/app/classic-pong/id698209222?mt=8

Space War: iPad/iPhone Apps AppGuide

November 23, 2014

http://appadvice.com/appguides/show/space-war

the spirit of Bushnell

QT:{{”
If you want to play the original, look no further than the Atari Classic app. The graphics, sound, and retro experience are all here. Currently the control mechanism is not the most intuitive thing, but if you can get good at the controls this is a fantastic notable option. The app is free to download and included one game, Mission Control. You’ll need to purchase each of the other titles after that. The other games, such as Space War, will be $.99 apiece; though of course there are package deals you can purchase if you’re a die-hard retro Atari fan.
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Do Data From Wearables Belong In The Medical Record?

November 16, 2014

Do Data From #Wearables Belong In The Medical Record? by @dshaywitz
http://www.forbes.com/sites/davidshaywitz/2014/09/07/do-data-from-wearables-belong-in-the-medical-record/ The dichotomy: High-quality morsels v messy gobs

QT:{{”
I suspect that the routine use of wearable data by the medical establishment will closely parallel that of genomic data: everyone will agree that it’s interesting, and represents an area that should be followed closely, but relatively few pioneers will actually jump in, and really start collecting data and figuring out how all this works; the return on investment will be hard to define, the
uncertainty viewed as too high.

It wouldn’t surprise me if many of the same innovators that are early adopters of genomics (e.g. pursue whole genome sequencing on an ambitious scale) will be also be the earliest adopters of data from wearables, with the idea that the combination of rich genotype plus rich phenotype is likely to be an important source of insight (again, keep in mind that I work at a genomic data company). Within pharma, I’d suspect many of the largest companies (playing not to lose) will pursue lightly-resourced exploratory projects in this area, while companies I’ve called mid-size disruptors are more likely to take a real run at this, as part of a more confident and aggressive strategy of playing to win.

I’m obviously a passionate and long-time believer in the value of collecting and colliding large volumes of data, but I also recognize that this remains largely an unproven proposition, and I can understand why anxious administrators, prudent physicians, cautious corporations, and sensible investigators might prefer to place their bets elsewhere at the moment, deciding it’s still too early to jump in.
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