“What do Uber, Volkswagen and Zenefits have in common? They all used hidden code to break the law.”

“What do Uber, Volkswagen and Zenefits have in common? They all used hidden code to break the law.” @ossia https://medium.freecodecamp.com/dark-genius-how-programmers-at-uber-volkswagen-and-zenefits-helped-their-employers-break-the-law-b7a7939c6591

Daily chart: The best and worst places to be a working woman | The Economist

http://www.economist.com/blogs/graphicdetail/2017/03/daily-chart-0?fsrc=scn/pn/te/bl/ed/

— excerpt below —
The best and worst places to be a working woman
The Economist’s glass-ceiling index measures gender equality in the labour market

Graphic detail

Mar 8th 2017

by THE DATA TEAM
MARCH 8th is International Women’s Day, a date designated by the UN to celebrate and advocate for women’s rights. To provide a benchmark for progress on gender equality in the labour market, The Economist has published its fifth annual “glass-ceiling index”. It combines data on higher education, workforce participation, pay, child-care costs, maternity and paternity rights, business-school applications and representation in senior jobs into a single measure of where women have the best—and worst—chances of equal treatment in the workplace. Each country’s score is a weighted average of its performance on ten indicators. 
The overall picture painted by the data is that the long trend of improving conditions for working women has flatlined within the OECD, a club of mostly rich countries. In 2005, 60% of women were in the labour force; ten years later, this ratio had edged up only slightly to 63% (it was 80% for men in both years). With relatively few women climbing the ranks, and strong old-boys’ networks helping men reach the top, female representation in well-paid and high-status jobs is closer to a third than half. And the gender wage gap—male minus female wages, divided by male wages—is still around 15%, meaning women as a group earn 85% of what men do. 
These broad averages conceal wide variation between countries. The Nordic countries clearly lead the world on gender equality at work. The top four positions this year belong to Iceland, Sweden, Norway and Finland, just as they did in 2016 (though Sweden and Norway did switch places). Women in these countries are more likely than men to have a university degree and be in the labour force. They make up 30-44% of company boards, compared with an average of 20% across the OECD. And voluntary political-party gender quotas mean that women are well-represented in parliaments. In October, women won a record 48% of the seats in Iceland’s lower house. At around two-fifths, Scandinavian women’s share of parliamentary seats ranks in the top 10% globally.

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At the other end of the index are Japan, Turkey and South Korea. Women make up only around 15% of parliaments in these countries, and are underrepresented in management positions and on company boards. In South Korea, just 2% of corporate directors are female. Similarly, fewer women than men have completed tertiary education and are part of the labour force. Only 35% of Turkish women are working or looking for work, and a mere 16% have graduated from university.
Progress in gender equality has a tendency to build upon itself. In Iceland, which currently provides the most equal working environment for women according to our index, female workers staged a protest last October in which they marched out of their offices early to call attention to the country′s 14% gender pay gap. If Japanese women were to do likewise, they would be leaving much earlier.
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The 45th president: Making sense of Donald Trump’s unsubstantiated accusations against his predecessor | The Economist

http://www.economist.com/blogs/democracyinamerica/2017/03/45th-president?fsrc=scn/pn/te/bl/ed/

— excerpt below —

The 45th presidentMaking sense of Donald Trump’s unsubstantiated accusations against his predecessor
There are three explanations for Mr Trump’s accusation that Barack Obama ordered his phones to be tapped. None of them is comforting

Democracy in America

Mar 5th 2017
by LEXINGTON
American democracy has suffered a wound that, however it heals, will leave nasty scars. On March 5th the White House announced that President Donald Trump is asking congressional intelligence committees to probe unspecified “reports” that the administration of Barack Obama abused its executive powers to launch, “potentially politically motivated investigations immediately ahead of the 2016 election”.
The formal White House statement was, in effect, an attempt to comb the hair and clothe in a suit and tie a string of four wild and unsubstantiated tweets by the president of America. In those tweets, issued around dawn the day before, the 45th president accused the 44th of a “Nixon/Watergate” plot to tap the phones at Trump Tower, his campaign and business  headquarters in New York. This alleged wire-tapping was an attempt to meddle in the “very sacred election process”, and shows Mr Obama to be a “bad (or sick) guy!” charged Mr Trump. “Nothing” was found by this spying, he added, concluding: “This is McCarthyism!”
There are a number of explanations for Mr Trump’s allegations, none of them cheering. The first is that Mr Trump’s stated suspicions are well-founded, and Mr Obama and his administration did, in fact, illegally spy on the nominee of one of the two main political parties.
Mark Levin, a conservative media firebrand, is said to have provoked Mr Trump’s outburst with a broadcast on March 2nd. Mr Levin cited a series of news reports from 2016 and 2017 that federal investigators at various times sought warrants from the Foreign Intelligence Surveillance Court (FISA) to monitor communications involving Mr Trump and several of his advisers, seeking evidence of potentially troubling business or espionage ties with Russia. Mr Levin called this “police state” tactics and suggested that Congress should probe this “silent coup” by the Obama administration, rather than allegations that Russia interfered in the election. Mr Levin’s show was later written up by the right-wing website Breitbart News, whose former chairman, Stephen Bannon, is now Mr Trump’s chief strategist. Roger Stone, a flamboyant political operative and informal adviser  to Mr Trump, declared: “The buck stops here. Obama responsible for illegal surveillance of @realDonaldTrump—must be charged, convicted and jailed.”
The second explanation is that the FBI or other federal investigators legally spied on Trump Tower, the Trump campaign or figures close to the president. The bar for obtaining a FISA warrant is high—typically requests come from the attorney-general, a deputy attorney-general or the head of a spy agency, and must show a federal judge that there is probable cause that a target for surveillance is an “agent of a foreign power”. A spokesman for Mr Obama pushed back hard at Mr Trump’s claim that the former president, or his White House team ordered such surveillance, saying “neither President Obama nor any White House official ever ordered surveillance on any US citizen”, adding that it was a “cardinal rule” of the Obama White House not to interfere in any investigation led by the Department of Justice.
In an intervention that did little to unfurrow the brows of those following this tale, James Clapper, who was until January the Director of National Intelligence, told NBC television that he knew of no FISA warrants against Trump Tower, at least for the spy agencies that he oversaw. “There was no such wiretap activity mounted against the president, the president-elect at the time, or as a candidate, or against his campaign,” he said. Mr Clapper added that he stands by his formal finding, issued in January, that the Russian government meddled in the presidential election to help Mr Trump, but said he had seen no evidence of active collusion between members of the Trump campaign and the Russians.
A third explanation for Mr Trump’s outburst is that he was trying to rally his supporters and discomfort his opponents after a bumpy few days, once again involving furtive contacts between Team Trump and Russians. This time the problem involved Mr Trump’s attorney-general and ideological mentor, Jeff Sessions. To Mr Trump’s semi-public fury Mr Sessions felt obliged to recuse himself from overseeing federal investigations into Russian meddling in the 2016 election. This decision to step aside from any probes came after Mr Sessions had to concede that his testimony to senators during his confirmation hearings had some large holes in it, roughly the same size and shape as Sergey Kislyak, Russia’s burly ambassador to America. Sleuthing by the Washington Post and other news outlets revealed that Mr Sessions met Mr Kislyak twice during the campaign, despite telling senators he had “no communications with the Russians”.
Under this theory of events, Mr Trump’s dramatic tweets bring to mind the owner of a Chicago speakeasy, who while being questioned by G-Men about why so many Mob bosses drink at his establishment, bellows: “FIRE!” and pulls the fire alarm. For when Mr Trump’s tactics are examined coolly, his claims of treachery by Mr Obama are a way to make Americans focus on a large, invented allegation—that Democrats, the media and other “enemies of the people” are conspiring to destroy or at least delegitimise his presidency. In fact, the allegations about Russia that continue to dog Mr Trump are narrower but still troubling.

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In a world of political smoke and mirrors, here are some things that definitely happened. During the presidential election campaign Mr Trump repeatedly broke with Republican Party orthodoxy to advocate friendlier ties with the Russian government of Vladimir Putin, in part because Mr Putin had the good judgement to praise Mr Trump (“Putin called me a genius” Mr Trump noted at rallies), and in part because Russia might, in his words, be willing to “knock the hell” out of the Islamic State extremist group in Syria and other theatres of war, sparing America much blood and treasure.
During the summer of 2016 WikiLeaks published tens of thousands of e-mails stolen from the servers of the Democratic National Committee and from the e-mail account of the chairman of Hillary Clinton’s presidential campaign. American officials accused Russian hackers of being behind these leaks, as did Mrs Clinton but Mr Trump poured scorn on such claims, calling them an attempt to smear him, and wondering whether the hacker might be somebody “sitting on their bed that weighs 400 pounds”. In a press conference in July, Mr Trump invited Russia—“if you’re listening”—to search e-mail servers belonging to Mrs Clinton or government archives and find thousands of e-mails that the Democrat had deleted as private, after leaving her post as Mr Obama’s secretary of state. Mr Trump later said that this was a joke.
These events are beyond dispute. Lots of e-mails embarrassing to Mrs Clinton were stolen and appeared online, to Mr Trump’s public glee: “I love WikiLeaks”, he said in October. Someone hacked them, and after a lot of havering around Mr Trump, in January of this year, did at last say he believes that the culprit is Russia. Mr Trump gave Russian officials ample reason to think that their country might benefit from his election.
If so much smoke still swirls, it is because it remains unclear whether a natural coincidence of interests between Russia and Team Trump was buttressed by actual collusion. The Trump administration has suffered some of its worst early blows as a result of obfuscation around Russia. Michael Flynn, a retired three-star general, had to resign as Mr Trump’s first national security adviser after misleading the vice-president, Mike Pence, among others, about his own contacts with Mr Kislyak. Though he initially denied any substantive contacts, it emerged that Mr Flynn had spoken to the ambassador several times in late December, urging Russia to be patient and not to retaliate after Mr Obama imposed sanctions on Russians as punishment  for election meddling.
Trump partisans are currently lining up behind their man. But to return to that analogy with a Chicago bar-owner trying to avoid tough questioning, Mr Trump may be about to discover that when you pull a fire alarm in a crowded beer-hall, there are real-world consequences, some of them hard to control.
Though most Republicans remain intent on passing long-cherished bills and sending them to Mr Trump’s desk for signing, some members of his party are already signalling disquiet. Senator Ben Sasse of Nebraska, a thoughtful and principled conservative, issued a statement saying: “We are in the midst of a civilization-warping crisis of public trust, and the president’s allegations today demand the thorough and dispassionate attention of serious patriots.  A quest for the full truth, rather than knee-jerk partisanship, must be our guide if we are going to rebuild civic trust and health.” A member of the Senate intelligence committee, Marco Rubio of Florida, told NBC television he had seen “no evidence” to back Mr Trump’s claims. “The president put that out there, and now the White House will have to answer as to exactly what he was referring to,” said Mr Rubio.
The Florida senator is correct. In coming days the White House will have to explain what the president meant in his early-morning tweets on Saturday. Some observers felt that Mr Trump himself seemed to tire of his own outburst, tweeting his thoughts about a casting change on a reality-television show some 30 minutes after accusing his predecessor of something close to treason. Others see sincere rage, even paranoia. A conservative media boss and old friend of Mr Trump’s, Chris Ruddy, claims that the president believes his own allegations about wire-tapping with a fierce rage, telling him this weekend: “I will be proven right”.
Either way, the president has told his country and the world that American democracy came under a serious attack. He cannot now wish that charge away.

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Copyright © The Economist Newspaper Limited 2017. All rights reserved.

Jeff Kirschner: This app makes it fun to pick up litter | TED Talk | TED.com

See also : Literatti.org
–video transcript below —

This story starts with these two — my kids. We were hiking in the Oakland woods when my daughter noticed a plastic tub of cat litter in a creek. She looked at me and said, “Daddy? That doesn’t go there.”
0:28

When she said that, it reminded me of summer camp. On the morning of visiting day, right before they’d let our anxious parents come barreling through the gates, our camp director would say, “Quick! Everyone pick up five pieces of litter.” You get a couple hundred kids each picking up five pieces, and pretty soon, you’ve got a much cleaner camp. So I thought, why not apply that crowdsourced cleanup model to the entire planet? And that was the inspiration for Litterati.
0:54

The vision is to create a litter-free world. Let me show you how it started. I took a picture of a cigarette using Instagram. Then I took another photo … and another photo … and another photo. And I noticed two things: one, litter became artistic and approachable; and two, at the end of a few days, I had 50 photos on my phone and I had picked up each piece, and I realized that I was keeping a record of the positive impact I was having on the planet. That’s 50 less things that you might see, or you might step on, or some bird might eat.
1:29

So I started telling people what I was doing, and they started participating. One day, this photo showed up from China. And that’s when I realized that Litterati was more than just pretty pictures; we were becoming a community that was collecting data. Each photo tells a story. It tells us who picked up what, a geotag tells us where and a time stamp tells us when. So I built a Google map, and started plotting the points where pieces were being picked up. And through that process, the community grew and the data grew. My two kids go to school right in that bullseye.
2:16

Litter: it’s blending into the background of our lives. But what if we brought it to the forefront? What if we understood exactly what was on our streets, our sidewalks and our school yards? How might we use that data to make a difference?
2:32

Well, let me show you. The first is with cities. San Francisco wanted to understand what percentage of litter was cigarettes. Why? To create a tax. So they put a couple of people in the streets with pencils and clipboards, who walked around collecting information which led to a 20-cent tax on all cigarette sales. And then they got sued by big tobacco, who claimed that collecting information with pencils and clipboards is neither precise nor provable. The city called me and asked if our technology could help. I’m not sure they realized that our technology was my Instagram account —
3:09

(Laughter)
3:10

But I said, “Yes, we can.”
3:12

(Laughter)
3:13

“And we can tell you if that’s a Parliament or a Pall Mall. Plus, every photograph is geotagged and time-stamped, providing you with proof.” Four days and 5,000 pieces later, our data was used in court to not only defend but double the tax, generating an annual recurring revenue of four million dollars for San Francisco to clean itself up.
3:39

Now, during that process I learned two things: one, Instagram is not the right tool —
3:43

(Laughter)
3:44

so we built an app.
3:46

And two, if you think about it, every city in the world has a unique litter fingerprint, and that fingerprint provides both the source of the problem and the path to the solution. If you could generate a revenue stream just by understanding the percentage of cigarettes, well, what about coffee cups or soda cans or plastic bottles? If you could fingerprint San Francisco, well, how about Oakland or Amsterdam or somewhere much closer to home? And what about brands? How might they use this data to align their environmental and economic interests?
4:26

There’s a block in downtown Oakland that’s covered in blight. The Litterati community got together and picked up 1,500 pieces. And here’s what we learned: most of that litter came from a very well-known taco brand. Most of that brand’s litter were their own hot sauce packets, and most of those hot sauce packets hadn’t even been opened. The problem and the path to the solution — well, maybe that brand only gives out hot sauce upon request or installs bulk dispensers or comes up with more sustainable packaging. How does a brand take an environmental hazard, turn it into an economic engine and become an industry hero?
5:10

If you really want to create change, there’s no better place to start than with our kids. A group of fifth graders picked up 1,247 pieces of litter just on their school yard. And they learned that the most common type of litter were the plastic straw wrappers from their own cafeteria. So these kids went to their principal and asked, “Why are we still buying straws?” And they stopped. And they learned that individually they could each make a difference, but together they created an impact.
5:40

It doesn’t matter if you’re a student or a scientist, whether you live in Honolulu or Hanoi, this is a community for everyone. It started because of two little kids in the Northern California woods, and today it’s spread across the world. And you know how we’re getting there? One piece at a time.
6:03

Thank you.
6:04

(Applause)

Self-Driving Car Engineers Can Earn $10 Million, According to Insider

https://www.glassdoor.com/blog/self-diving-car-engineers-make-10-million/?utm_source=newsletter&utm_medium=email&utm_content=21HotJobs_US16&utm_campaign=Sept2016_US

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The One Job That Pays $10 Million Per Year (Hint: It’s Not A CEO Gig)

Amy Elisa Jackson September 22, 2016
If you want to make up to $10 million in one year, forget launching a start-up. You need to become an engineer of self-driving cars ASAP.
Ex-Google genius Sebastian Thrun, the man dubbed by some as the “father of self-driving cars” says that because of the high demand and low numbers of engineers with the skills, “The going rate for talent these days is $10 million.”
The co-founder and CEO of online higher ed startup Udacity tells Recode, “it’s a very simple instance of a law that is fundamentally true: Technology is moving so fast, that by definition when something becomes hot, the skill set doesn’t exist.”
It’s why Tesla, Google, and Apple are constantly poaching engineers from each other and why Uber swiped all the talent from Carnegie Mellon’s robotics lab. There simply aren’t enough people with the skills required to automate cars. According to Thrun, the only machine learning program in the world run, is at Carnegie Mellon, which cannot churn our talent fast enough for the industry’s demands.
home where
“I’m surrounded by companies that are desperate for talent,” said Thrun. “Non-traditional players are joining the field and they’re all building substantial teams. But the skill set to build a self-driving car is a multidisciplinary skill set [and] that broad skill set is just not there.”
So if you’re in college and have a penchant for tech, change your major quick. Self-driving cars are the wave of the future and it’s where the big bucks are. “The number of people you can hire right out of university who are being educated in the field are limited,” Axel Gern, Mercedes Benz head of autonomous driving in North America, tells Recode. “You’re looking for experts in computer vision, robotics, intelligent systems, artificial intelligence and so on.”
And if you are already out of college, consider a specialized program like the one at Udacity. Since opening the applications for the self-driving program this week, Thrun’s brainchild has received over 4,000 applicants for the 250 slots. Whoa! Not to worry, Udacity says it will expand the program in the coming months and years.
In the mean time, talent will be the pervasive problem in tech. Once it was virtual reality designers and now it is self-driving car engineers. One thing is for sure, being on the cusp of technology education is where the millions are made.
DISCOVER: Search Jobs Hiring In Your Area!
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TagsEngineersRecodeSebastian ThrunTechnologyUdacity

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