jfruh writes When Facebook's EdgeRank algorithm filters a meme you posted out of your friends' feed, you might find that annoying. When your bank's algorithm denies you a mortgage, that has a serious effect on your life. But both kinds of algorithms are generally opaque to customers and regulators, and the FTC's Bureau of Consumer Protection has set up an office dedicated to figuring out these algorithms affect our lives and intersect with the law. Perhaps they can start with how the IRS selects people to audit, and whether constantly shifting TSA policies make sense.

Raven writes: New research out of Streeling University aims to make planning for the future much easier. The work, led by professor Seldon, tries to set probabilistic values on future events, and then weigh those probabilities against each other to figure out what combination of events is most likely to happen. Describing it under the unlikely moniker "psychohistory," Seldon seems to think planning even 10,000 years into the future might be possible. (Seldon also seems to be a bit of a doomsayer, so this is likely exaggerated.) Nevertheless, it'll be another tool for government planners to consider when developing new colonies.

An anonymous reader writes: The NSA employs tens of thousands of people, and they're constantly recruiting more. They're looking for 1,600 new workers this year alone. Now that their reputation has taken a major hit with the revelations of whistleblower Edward Snowden, they aren't sure they'll be able to meet that goal. Not only that, but the NSA has to compete with other companies, and they Snowden leaks made many of them more competitive: "Ever since the Snowden leaks, cybersecurity has been hot in Silicon Valley. In part that's because the industry no longer trusts the government as much as it once did. Companies want to develop their own security, and they're willing to pay top dollar to get the same people the NSA is trying to recruit." If academia's relationship with the NSA continues to cool, the agency could find itself struggling within a few years.

HughPickens.com writes According to an op-ed by Fareed Zakaria in the Washington Post, if Americans are united in any conviction these days, it is that we urgently need to shift the country's education toward the teaching of specific, technical skills, expand STEM courses (science, technology, engineering and math) and deemphasize the humanities. "It is the only way, we are told, to ensure that Americans survive in an age defined by technology and shaped by global competition. The stakes could not be higher." But according to Zakaria the dismissal of broad-based learning, however, comes from a fundamental misreading of the facts — and puts America on a dangerously narrow path for the future.

As Steve Jobs once explained "it's in Apple's DNA that technology alone is not enough — that it's technology married with liberal arts, married with the humanities, that yields us the result that makes our hearts sing." Zakaria says that no matter how strong your math and science skills are, you still need to know how to learn, think and even write and cites Jeff Bezos' insistence that writing a memo that makes sense is an even more important skill to master. "Full sentences are harder to write," says Bezos. "They have verbs. The paragraphs have topic sentences. There is no way to write a six-page, narratively structured memo and not have clear thinking." "This doesn't in any way detract from the need for training in technology," concludes Zakaria, "but it does suggest that as we work with computers (which is really the future of all work), the most valuable skills will be the ones that are uniquely human, that computers cannot quite figure out — yet. And for those jobs, and that life, you could not do better than to follow your passion, engage with a breadth of material in both science and the humanities, and perhaps above all, study the human condition."

Last week you had a chance to ask Saturday Morning Breakfast Cereal (SMBC) creator and monocle enthusiast Zach Weiner about his comics, reading classy, and his other projects. Below you'll find his answers to your questions.

An anonymous reader sends word that President Obama is expected to announce more that $240 million in pledges to boost STEM educations at the White House Science Fair today. "President Barack Obama is highlighting private-sector efforts to encourage more students from underrepresented groups to pursue education in science, technology, engineering and math. At the White House Science Fair on Monday, Obama will announce more than $240 million in pledges to boost the study of those fields, known as STEM. This year's fair is focused on diversity. Obama will say the new commitments have brought total financial and material support for these programs to $1 billion. The pledges the president is announcing include a $150 million philanthropic effort to encourage promising early-career scientists to stay on track and a $90 million campaign to expand STEM opportunities to underrepresented youth, such as minorities and girls."

A reader writes Arkansas will be implementing a new law that requires public high schools to offer classes in computer science starting in the 2015-16 school year. Arkansas Gov. Asa Hutchinson, who signed the bill, believes it will provide "a workforce that's sure to attract businesses and jobs" to the state. $5 million of the governor's proposed budget will go towards this new program. For the districts incapable of of administering these classes due to lack of space or qualified teachers, the law has provisions for online courses to be offered through Virtual Arkansas. Although students will not be required to take computer science classes, the governor's goal is to give students the opportunity if they "want to take it." Presently, only one in 10 schools nationwide offer computer science classes. Not only will Arkansas teach these classes in every public high school and charter school serving upper grades, the courses will count towards the state's math graduation requirement as a further incentive for students. Training programs for teacher preparation will be available, but with the majority of the infrastructure already primed, the execution of this new law should hopefully be painless and seamless.

First time accepted submitter DrTJ writes Today is Pi day. This year is a bit more extraordinary as it is 3/14/15 (in American date format). To celebrate, USA Today has posted a number of videos of kids reciting Pi, one of them to 8,784 digits. The Washington Post highlights the story of a couple who decided to make it their special day. "Donahue, 33, a Legal Aid attorney, fell for Karmel’s geeky side as soon as they met. On a beach vacation with her friends in 2012, a psychic told her, 'You are about to meet your soulmate.' Three days later, she walked into Kostume Karaoke night at Solly’s Tavern along the U Street corridor and saw a man onstage croaking out the Backstreet Boys’s 'I Want It That Way.' By the end of the night, he would be serenading her with Cake’s 'The Distance' — the song the DJ will play when they cut the pie."

An anonymous reader sends this excerpt from an article at Quanta Magazine: What struck John Learned about the blinking of KIC 5520878, a bluish-white star 16,000 light-years away, was how artificial it seemed. Learned, a neutrino physicist at the University of Hawaii, Mnoa, has a pet theory that super-advanced alien civilizations might send messages by tickling stars with neutrino beams, eliciting Morse code-like pulses. "It's the sort of thing tenured senior professors can get away with," he said. The pulsations of KIC 5520878, recorded recently by NASA's Kepler telescope, suggested that the star might be so employed.

A "variable" star, KIC 5520878 brightens and dims in a six-hour cycle, seesawing between cool-and-clear and hot-and-opaque. Overlaying this rhythm is a second, subtler variation of unknown origin; this frequency interplays with the first to make some of the star's pulses brighter than others. In the fluctuations, Learned had identified interesting and, he thought, possibly intelligent sequences, such as prime numbers (which have been floated as a conceivable basis of extraterrestrial communication). He then found hints that the star's pulses were chaotic. But when Learned mentioned his investigations to a colleague, William Ditto, last summer, Ditto was struck by the ratio of the two frequencies driving the star's pulsations. "I said, 'Wait a minute, that's the golden mean.'"

johntromp writes It took about 50,000 CPU hours and 4PB of disk IO, but now we know the exact number of legal 18x18 Go positions. Seeking computing power for the ultimate 19x19 count. And it's not a heat-death-of-the-universe kind of question, either, they say: "Thanks to the Chinese Remainder Theorem, the work of computing L(19,19) can be split up into 9 jobs that each compute 64 bits of the 566-bit result. Allowing for some redundancy, we need from 10 to 13 servers, each with at least 8 cores, 512GB RAM, and ample disk space (10-15TB), running for about 5-9 months."

HughPickens.com writes Eric Mack reports at Cnet that a team of researchers at Cornell University, inspired by the book "World War Z" by Max Brooks, have used statistical-mechanics to model how an actual zombie outbreak might unfold and determined the best long-term strategy for surviving the walking dead: Head for the hills. Specifically, you should probably get familiar now with the general location of Glacier National Park so that when it all goes down, you can start heading in that direction. The project started with differential equations to model a fully connected population, then moved on to lattice-based models, and ended with a full US-scale simulation of an outbreak across the continental US. "At their heart, the simulations are akin to modeling chemical reactions taking place between different elements and, in this case, we have four states a person can be in--human," says Alex Alemi, "infected, zombie, or dead zombie--with approximately 300 million people."

Alemi believes cities would succumb to the zombie scourge quickly, but the infection rate would slow down significantly in more sparsely populated areas and could take months to reach places like the Northern Rockies and Glacier National Park. "Given the dynamics of the disease, once the zombies invade more sparsely populated areas, the whole outbreak slows down--there are fewer humans to bite, so you start creating zombies at a slower rate," Alemi says. Once you hit Montana and Idaho, you might as well keep heading farther north into the Canadian Rockies and all the way up to Alaska where data analysis shows you're most likely to survive the zombie apocalypse. The state with the lowest survival rate? — New Jersey. Unfortunately a full scale simulation of an outbreak in the United States shows that for `realistic' parameters, we are largely doomed.

KentuckyFC writes: The history of pop music is rich in anecdotes, folklore and controversy. But despite the keen interest, there is little in the form of hard evidence to back up most claims about the evolution of music. Now a group of researchers have used data analysis tools developed for genomic number crunching to study the evolution of U.S. pop music. The team studied 30-second segments of more than 17,000 songs that appeared on the U.S. Billboard Hot 100 between 1960 and 2010. Their tools categorized the songs according to harmonic features such as chord changes as well as the quality of timbre such as whether guitar-based, piano-based orchestra-based and so on. They then used a standard algorithm for discovering clusters within networks of data to group the songs into 13 different types, which turned out to correspond with well known genres such as rap, rock, country and so on. Finally, they plotted the change in popularity of these musical types over time.

The results show a clear decline in the popularity of jazz and blues since 1960. During the same period, rock-related music has ebbed and flowed in popularity. By contrast, rap was rare before 1980 before becoming the dominant musical style for 30 years until declining in the late 2000s. The work answers several important question about the evolution of pop music, such as whether music industry practices have led to a decline in the cultural variety of new music, and whether British bands such as The Beatles and The Rolling Stones triggered the 1964 American music revolution [spoiler: no in both cases].

An anonymous reader writes with news of a study that shows similarities in how cities are built throughout time. "A study of archeological data from ancient Mexican settlements reveals remarkable similarities between pre-Colombian cities and modern ones, lending support to the idea that urban spaces are shaped by universal social behaviors. Sure, each city has its own local quirks, architecture, language and cuisine. But recently, some theoretical scientists have started to find there are universal laws that shape all urban spaces. And a new study suggests the same mathematical rules might apply to ancient settlements, too. Using archaeological data from the ruins of Tenochtitlan and thousands of other sites around it in Mexico, researchers found that private houses and public monuments were built in predictable ways."

An anonymous reader writes As reported in the Pittsburgh Post-Gazette, Carnegie-Mellon University mistakenly sent 800 acceptances for its Master of Science in Computer Science program. They're not saying "computer error," but what are the other explanations? High irony all around. The program accepts fewer than nine percent of more than 1,200 applicants, which places the acceptance level at about a hundred, so they're bad at math, too.

Stephen Wolfram's accomplishments and contributions to science and computing are numerous. He earned a PhD in particle physics from Caltech at 20, and has been cited by over 30,000 research publications. Wolfram is the the author of A New Kind of Science, creator of Mathematica, the creator of Wolfram Alpha, and the founder and CEO of Wolfram Research. He developed Wolfram Language, a general multi-paradigm programming language, in 2014. Stephen has graciously agreed to answer any questions you may have for him. As usual, ask as many as you'd like, but please, one per post.

An anonymous reader sends this excerpt from Quanta Magazine: The physicist Freeman Dyson and the computer scientist William Press, both highly accomplished in their fields, have found a new solution to a famous, decades-old game theory scenario called the prisoner's dilemma, in which players must decide whether to cheat or cooperate with a partner. The prisoner's dilemma has long been used to help explain how cooperation might endure in nature. After all, natural selection is ruled by the survival of the fittest, so one might expect that selfish strategies benefiting the individual would be most likely to persist. But careful study of the prisoner's dilemma revealed that organisms could act entirely in their own self-interest and still create a cooperative community.

Press and Dyson's new solution to the problem, however, threw that rosy perspective into question (abstract). It suggested the best strategies were selfish ones that led to extortion, not cooperation.

[Theoretical biologist Joshua] Plotkin found the duo's math remarkable in its elegance. But the outcome troubled him. Nature includes numerous examples of cooperative behavior. For example, vampire bats donate some of their blood meal to community members that fail to find prey. Some species of birds and social insects routinely help raise another's brood. Even bacteria can cooperate, sticking to each other so that some may survive poison. If extortion reigns, what drives these and other acts of selflessness?"

Nerval's Lobster writes What is a data scientist? "To be honest, I often don't tell people I am a data scientist," writes Simon Hughes, chief data scientist of the Dice Data Science Team. "It's not that I don't enjoy my job (I do!) nor that I'm not proud of what we've achieved (I am); it's just that most people don't really understand what you mean when you say you're a data scientist, or they assume it's some fancy jargon for something else." So how do Simon and his team define "data scientist"? In this blog posting, he breaks it down along several lines: solid programming skills, a scientific mindset, and the ability to use tools are just for starters. A data scientist also needs to be a polymath with strong math skills. "All good scientists are skeptics at heart; they require strong empirical evidence to be convinced about a theory," he writes. "Likewise, as a data scientist, I've learned to be suspicious of models that are too accurate, or individual variables that are too predictive." His points are good to keep in mind right now, with everybody throwing around buzzwords like "Big Data" without fully realizing what they mean.

HughPickens.com writes Neil Irwin writes at the NYT that financially literate people like to complain that buying lottery tickets is among the silliest decisions a person could make but there are a couple of dimensions that these tut-tutted warnings miss, perhaps fueled by a class divide between those who commonly buy lottery tickets and those who choose to throw away money on other things like expensive wine or mansions. According to Irwin, as long as you think about the purchase of lottery tickets the right way — purely a consumption good, not an investment — it can be a completely rational decision. "Fantasizing about what you would do if you suddenly encountered great wealth is fun, and it is more fun if there some chance, however minuscule, that it could happen," says Irwin. "The $2 price for a ticket is a relatively small one to pay for the enjoyment of thinking through how you might organize your life differently if you had all those millions."

Right now the Multi-State Lottery Association estimates the chances of winning the grand prize at about 1 in 175 million, and the cash value of the prize at $337.8 million. The simplest math points to that $2 ticket having an expected value of about $1.93 so while you are still throwing away money when buying a lottery ticket, you are throwing away less in strictly economic terms when you buy into an unusually large Powerball jackpot. "I am the type of financial decision-maker who tracks bond and currency markets and builds elaborate spreadsheets to simulate outcomes of various retirement savings strategies," says Irwin. "I can easily afford to spend a few dollars on a Powerball ticket. Time to head to the convenience store and do just that."

theodp (442580) writes "Citing a new study published by the National Bureau of Economic Research (free to Federal employees), the NY Times reports on how elementary school teachers' pro-boy biases can discourage girls from math and science. "The pipeline for women to enter math and science occupations narrows at many points between kindergarten and a career choice," writes Claire Cain Miller, "but elementary school seems to be a critical juncture. Reversing bias among teachers could increase the number of women who enter fields like computer science and engineering, which are some of the fastest growing and highest paying. 'It goes a long way to showing it's not the students or the home, but the classroom teacher's behavior that explains part of the differences over time between boys and girls,' said Victor Lavy, an economist at University of Warwick in England and a co-author of the paper." Although the study took place in Israel, Lavy said that similar research had been conducted in several European countries and that he expected the results were applicable in the United States."

rossgneumann writes: A group of physicists has successfully manipulated beams of laser light into an optical mobius strip (abstract). The shape, a classic mindbender all but nonexistent in nature, has never before been seen in such an immaterial form.