"The essence of Van den Berg’s traffic circulation plan, as it came to be called, was that the centre of Groningen would be divided in four sections. For motorists, it would become impossible to go from one section to the other: cars had to take the ring-road around the inner city, whereas cyclists could move freely about on new cycle paths constructed to accommodate them. Driving a car would become a time-consuming affair in the centre of Groningen. In the future, travelling by bike would be a much quicker option."
"Wealth has declined
There’s also a harsh reality behind it: Independent workers simply have less money to spend. Their careers are unpredictable in terms of hours, income, and even location. So when they do spend, they're turning to alternatives like sharing or renting rather than buying. In a recent report from PriceWaterhouseCoopers, 86% of people surveyed said that using a ride-sharing app or renting out someone's spare room rather than booking a hotel "makes life more affordable." More than 80% said it was "less expensive to share goods than to own them individually." And 43% went as far as to say that "owning, today, feels like a burden."
"The ranks of independent workers continue to grow. But as long as their incomes continue to shrink, so will their spending."
That kind of meaningful independence is a social and economic movement that’s not going away. It's a relief for many of today’s new-wave workers, who can’t afford up-front costs of big-ticket items. But it’s not so helpful in addressing the underlying problem that income inequality in this country is very real and growing worse."
"Evidence continues to mount that the natural gas supply chain carries an enormous amount of environmental baggage as well as community welfare issues.
This week was a particularly bad one for the natural gas industry, with the release of two government reports in the U.S. and one in the U.K."
"nformal learning is the unofficial, impromptu way people learn how to do their jobs. This infographic outlines why we shouldn’t ignore informal learning and describes the models developed by Jay Cross, Dan Pontefract and “70:20:10″, which put a framework around this style of learning. A very interesting read."
"And the majority illusion can occur in all of them. “The effect is largest in the political blogs network, where as many as 60%–70% of nodes will have a majority active neighbours, even when only 20% of the nodes are active,” they say. In other words, the majority illusion can be used to trick the population into believing something that is not true.
That’s interesting work that immediately explains a number of interesting phenomena. For a start, it shows how some content can spread globally while other similar content does not—the key is to start with a small number of well-connected early adopters fooling the rest of the network into thinking it is common.
That might seem harmless when it comes to memes on Reddit or videos on YouTube. But it can have more insidious effects too. “Under some conditions, even a minority opinion can appear to be extremely popular locally,” say Lerman and co. That might explain how extreme views can sometimes spread so easily.
It might also explain the spread of antisocial behavior. Various studies have shown that teenagers consistently overestimate the amount of alcohol and drugs their friends consume. “If heavy drinkers also happen to be more popular, then people examining their friends’ drinking behavior will conclude that, on average, their friends drink more than they do,” say Lermann and co."
"The city attorney combined the network analysis, along with the city's own extensive investigation and was able to get a conviction of key family members. Later, all of one building's tenants filed a civil suit using much of the same evidence and won a sufficient award to allow all of them to move out into decent housing. Several tenants used a part of their award to start businesses.
The common wisdom is that only big business and government use social network analysis. Yet, there are many individuals and groups that are learning the craft, and solving local problems. Although social network analysis can not be learned by reading a book, it does not require a PhD either. Any intelligent person, under the right guidance, and with the proper tools, can apply the methodology to an appropriate problem and gain enormous insight into what was previously hidden."
"Whoever owns the capital will benefit as robots and AI inevitably replace many jobs. If the rewards of new technologies go largely to the very richest, as has been the trend in recent decades, then dystopian visions could become reality. But the machines are tools, and if their ownership is more widely shared, the majority of people could use them to boost their productivity and increase both their earnings and their leisure. If that happens, an increasingly wealthy society could restore the middle-class dream that has long driven technological ambition and economic growth."
"Selon moi, cette intelligence, « smartness », s'adosse directement à l'intelligence des utilisateurs, donc des citoyens. La smart city a vocation à rendre possible une prise de décision – des citoyens et acteurs locaux, plus intelligente, car basée sur l'exploitation et l'analyse des données."
"The only way to transfer somatic tacit knowledge to someone is through long term coaching.
He describes Relational Tacit Knowledge, which is about social interaction and how this keeps some knowledge unspoken. Basically its the things you could explain but don't, for one reason or another. It includes secrets, the things you don't know that you know, and the things you can't explain because you don't know what the other party needs to know. This knowledge remains tacit for social reasons, and the work of the knowledge manager is to go through the social barriers and retrieve this knowledge through questioning processes - for example in Knowledge Interviews.
Finally, there is collective tacit knowledge. This is about the way WE work. Its about knowledge held socially and collectively. He gives the example of riding a bike. The mechanics of riding a bike are all about somatic tacit knowledge, but the knowledge of riding a bike in London traffic are collective and tacit; you need to understand the unspoken social conventions, otherwise the taxis and buses will get you. It is the collective tacit knowledge that the interviewer seeks for in team knowledge processes such as After Action Review and Retrospects, and the facilitator seeks to exchange in Peer Assists and Knowledge Exchange meetings."
"In emerging economies such as South Africa there is an amazing statistic: 477,000 job vacancies alongside 344,000 unemployed graduates. This story is echoed across Africa, where the problem is not a shortage of academic research, God knows we have enough of that in the developed world, but youth unemployment. What is known as the youth bulge (by 2050 60% under 25) is already leading to mass youth unemployment and underemployment, leading to social unrest. Witness Boko Haram, which erupted in Nigeria’s poorest state, the state with the highest levels of youth unemployment. Then along comes a gang of religious thugs and offers a gang, a purpose with a gun and a set of radical, fundamentalist beliefs. To what problem is education a solution in Africa? Youth unemployment. Africa does NEED vocational education more than academic education.
"Machines can do some surprising things. But what you really want to know is this: Will your job be around in the future?
We have the "definitive" guide."
What job is hardest for a robot to do? Mental health and substance abuse social workers (found under community and social services). This job has a 0.3 percent chance of being automated. That's because it's ranked high in cleverness, negotiation, and helping others. The job most likely to be done by a robot? Telemarketers. No surprise; it's already happening.
The researchers admit that these estimates are rough and likely to be wrong. But consider this a snapshot of what some smart people think the future might look like. If it says your job will likely be replaced by a machine, you've been warned.
Top 200 content curation tools - organised and vetted in 34 categories - ready to be used
"Content curation is the art of finding, selecting, contextualizing, personalizing and illustrating relevant information items on a specific topic and for a specific audience "
"What kind of economic environment would make the best use of the new digital technologies?
McAfee: One that’s conducive to innovation, new business formation, and economic growth. To create it, we need to focus on five things:
The first is education. Primary and secondary education systems should be teaching relevant and valuable skills, which means things computers are not good at. These include creativity, interpersonal skills, and problem solving.
The second is infrastructure. World-class roads, airports, and networks are investments in the future and the foundations of growth.
Third, we need more entrepreneurship. Young businesses, especially fast-growing ones, are a prime source of new jobs. But most industries and regions are seeing fewer new companies than they did three decades ago.
A fourth focus is immigration. Many of the world’s most talented people come to America to build lives and careers, and there’s clear evidence that immigrant-founded companies have been great job-creation engines. The current policies in this area are far too restrictive, and our procedures are nightmarishly bureaucratic.
The fifth thing is basic research. Companies tend to concentrate on applied research, which means that the government has a role to play in supporting original early-stage research. Most of today’s tech marvels, from the internet to the smartphone, have a government program somewhere in their family tree. Funding for basic research in America, though, is on the decline: Both total and nondefense federal R&D spending, as percentages of GDP, have declined by more than a third since 1980. That must change.
" Accept the inevitability of absolute automation. If it's unrealistic to think companies around the world will reject the philosophy of growth-at-all-costs, assume automation is inevitable. Deep Learning and AI are not being designed to only replace certain societal roles. It's being designed to fully replicate humanity. This choice has been made. Fight it or accept the fact you're letting it happen.
Fight to control your personal data. The primary reason we all should be controlling our personal data is not about privacy but Intellectual Property. Would you walk around passing out documents containing your most intimate company IP? Do you randomly email strangers with patent applications? That's the equivalent of what we've been trained to do in the current data economy. We're told, "privacy is dead" by the same tech companies paying billions of dollars to lobbyists every year keeping laws protecting our rights around personal data from being passed. In terms of automation, common practice today is that machines observe our behavior until they're ready to take over our jobs. It's the literal equivalent of training your successor. If we controlled our personal data, we'd be able to discern which of our skills was unique to us as humans and charge R&D fees over and above our salary to help provide for our families once we were fired.
Embrace Positive Psychology. The field of affective computing (where machines emulate human emotion to improve wellbeing) is a growing vertical with the promise of helping improve the lives of countless humans in the future. In Japan alone, where the senior population is massive, companion robots seem like an excellent solution to provide for their medical needs while also granting the comfort of perceived interaction. However, after years of studying the science of positive psychology, my belief is you can't automate human wellbeing. You can utilize emerging or existing technology to help automate aspects of improving wellbeing, but you can't have a machine be grateful for you. You can't experience the benefits of altruism by having your iPhone automate acts of kindness. In this sense, at least for today, positive psychology belongs to the realm of humanity. I'd love for companies to embrace its tenets to grow employee wellbeing in light of maximizing global happiness. But the way things stand now, the primary reason to accelerate the adoption of positive psychology is to give people tools to find a sense of purpose once automation renders them unemployed. "
""I'm just a worker that wants to come to work and do my job and maintain a living for my family," he said. "So, automation - it feels cold."
Mr Crumlin of the MUA agrees.
"Consumption is predicated upon jobs," he said.
"In our society human beings drive growth.
"The whole thing is distorted. It says business values prevail over social values. There needs to be a check and a balance over how these things are introduced and why.""
"Perform complex office tasks: WorkFusion makes software that automatically assesses a project to see what parts can be fully automated, which parts can be crowdsourced to a freelance network like Elance, and what still needs to be handled by humans. All the while, it analyzes performance, for instance by asking freelancers questions it already knows the answers to, so that it can test their capabilities. The platform reduces the need for in-house staff by making use of freelancers, but then it looks to do away with them as well. "Even as the freelancers work under the direction of the system, they are simultaneously generating the training data that will gradually lead to their replacement," Ford writes."
"That’s the potential of self-driving cars — the outright extinction of car ownership. And with that, the elimination of entire industries built up around the existence of car ownership like: mechanics, car washes, parking, valets, body shops, rental companies, car insurance, car loans, and on and on. Even hugely expensive and capital intensive mass-transit infrastructure projects like streetcars and light rail can be dropped in favor of vastly cheaper on demand robotic “transportation clouds”, and all those construction and maintenance jobs right along with it."
In previous times, increasing earnings resulted in the hiring of more people. Thus both the Democratic approach (add money to the economy to increase earnings that way) or the Republican approach (cutting taxes or regulations) could work.
But not this time. The Bush Tax cuts had little effect on job creation. And the stimulus may have kept things from getting worse but do not seem to be providing the long lasting benefit they have in the past.
Neither approach works like it did in the past.
It may really be different this time. What worked in the 20th century may not work in the 21st.
I expect the reason is that technological solutions are simply replacing the need for more people as companies expand profits. Moore's law is now making an indelible impact on the job market. Technology does the jobs of people much too well.
In my own field, a robot can do 100 times the work of technicians. So what happens to those 100 technicians that had been paid a pretty good wage?
Technology is not only driving down the price to do things. It is driving down the cost of labor to the point where many people may simply never find a job that pays a living wage.
"As I often say, in a connected world, unless your skills are world-class, you are a commodity.
However there are three domains in which individuals and organizations can transcend commoditization and push their value creation to the other end of the spectrum, where they can command their price and choose their work.
The three domains are:
EXPERTISE. As more information is available, deep specialist world-class expertise that can be applied to create value for clients is the heart of much global value creation. That expertise must be broad-based, up-to-the-minute, and directly relevant to real-world issues.
RELATIONSHIPS. Expertise in isolation is not useful. The rich sets of relationships that form networks are at the heart of value creation. Those who can connect expertise and facilitate the co-creation of value in relationships will be at the heart of the economy.
INNOVATION. Innovation stems from connecting expertise, ideas, insights, and experience. Those who have original perspectives or can elicit new frames by bringing together diversity can capture and share extraordinary pools of value.
The future is stark. There will be a large and increasing divide between those who have one or more of these core strengths, and those who do not and whose livelihoods are on an ongoing path of commoditization."