Nearly every moment of our lives, we’re producing data about ourselves that companies profit from. Our smartwatches know when we wake up, Alexa listens to our private conversations, our phones track where we go, Google knows what we email and search, Facebook knows what we share with friends, and our loyalty cards remember what we buy. We share all this data about ourselves because we like the services these companies provide, and business leaders tell us we must to make it possible for those services to be cheap or free.
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Smarter Parts Make Collective Systems Too Stubborn | Quanta Magazine - 0 views
Why a 400-Year Program of Modernist Thinking is Exploding | naked capitalism - 0 views
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" Fearless commentary on finance, economics, politics and power Follow yvessmith on Twitter Feedburner RSS Feed RSS Feed for Comments Subscribe via Email SUBSCRIBE Recent Items Links 3/11/17 - 03/11/2017 - Yves Smith Deutsche Bank Tries to Stay Alive - 03/11/2017 - Yves Smith John Helmer: Australian Government Trips Up Ukrainian Court Claim of MH17 as Terrorism - 03/11/2017 - Yves Smith 2:00PM Water Cooler 3/10/2017 - 03/10/2017 - Lambert Strether Why a 400-Year Program of Modernist Thinking is Exploding - 03/10/2017 - Yves Smith Links 3/10/17 - 03/10/2017 - Yves Smith Why It Will Take a Lot More Than a Smartphone to Get the Sharing Economy Started - 03/10/2017 - Yves Smith CalPERS' General Counsel Railroads Board on Fiduciary Counsel Selection - 03/10/2017 - Yves Smith Another Somalian Famine - 03/10/2017 - Yves Smith Trade now with TradeStation - Highest rated for frequent traders Why a 400-Year Program of Modernist Thinking is Exploding Posted on March 10, 2017 by Yves Smith By Lynn Parramore, Senior Research Analyst at the Institute for New Economic Thinking. Originally published at the Institute for New Economic Thinking website Across the globe, a collective freak-out spanning the whole political system is picking up steam with every new "surprise" election, rush of tormented souls across borders, and tweet from the star of America's great unreality show, Donald Trump. But what exactly is the force that seems to be pushing us towards Armageddon? Is it capitalism gone wild? Globalization? Political corruption? Techno-nightmares? Rajani Kanth, a political economist, social thinker, and poet, goes beyond any of these explanations for the answer. In his view, what's throwing most of us off kilter - whether we think of ourselves as on the left or right, capitalist or socialist -was birthed 400 years ago during the period of the Enlightenment. It's a set of assumptions, a particular way of looking at the world that pushed out previous modes o
The Masks Masquerade - Nassim Nicholas Taleb - Medium - 0 views
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In fact masks (and faceshields) supplemented with constraints of superspreader events can save us trillions of dollars in future lockdowns (and lawsuits) and be potentially sufficient (under adequate compliance) to stem the pandemic. Bureaucrats do not like simple solutions.
Viral and host factors related to the clinical outcome of COVID-19 | Nature - 0 views
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In December 2019, the Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus SARS-CoV-2, emerged in Wuhan, Hubei province, China1 and soon spread across the world. In this ongoing pandemic, public health concerns and the urgent need for effective therapeutic measures require a deep understanding of its epidemiology, transmissibility and pathogenesis. Here we analyzed the clinical, molecular and immunological data from 326 confirmed cases of COVID-19 in Shanghai. Genomic sequences of SARS-CoV-2 assembled from 112 quality samples together with sequences in the Global Initiative on Sharing All Influenza Data (GISAID) showed a stable evolution and suggested two major lineages with differential exposure history during the early phase of the outbreak in Wuhan. Nevertheless, they exhibited similar virulence and clinical outcomes. Lymphocytopenia, especially the reduced CD4+ and CD8+ T cell counts upon admission, was predictive of disease progression. High levels of IL-6 and IL-8 during treatment were observed in patients with severe or critical disease and correlated with decreased lymphocyte count. The determinants of disease severity seemed to stem mostly from host factors such as age, lymphocytopenia, and its associated cytokine storm, whereas viral genetic variation did not significantly affect the outcomes.
The wealth of our collective data should belong to all of us | Chris Hughes - 0 views
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We should not only expect that these companies better protect our data – we should also ensure that everyone creating it shares in the economic value it generates. One person’s data is worth little, but the collection of lots of people’s data is what fuels the insights that companies use to make more money or networks, like Facebook, that marketers are so attracted to. Data isn’t the “new oil”, as some have claimed: it isn’t a non-renewable natural resource that comes from a piece of earth that a lucky property owner controls. We have all pitched in to create a new commonwealth of information about ourselves that is bigger than any single participant, and we should all benefit from it.
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The value of our data has a lot in common with the value of our labor: a single individual worker, outside of the rarest professions, can be replaced by another with similar skills. But when workers organize to withhold their labor, they have much more power to ensure employers more fairly value it. Just as one worker is an island but organized workers are a force to be reckoned with, the users of digital platforms should organize not only for better protection of our data, but for a new contract that ensures everyone shares in the historic profits we make possible.
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It's time to regulate the gig economy | openDemocracy - 0 views
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Although it would seem straightforward that the laws protecting workers should also apply to workers in what is described as the ‘gig economy’ or ‘platform-based work’, there is much debate – and confusion – on this issue. This lack of clarity stems in part from the novelty of platform-based work. There has also been an effort to conceal the nature of platform-based work through buzzwords such as ‘favours’, ‘rides’, and ‘tasks’ as well as the practice common to many platforms of classifying their workers as independent contractors. Platform-based work includes ‘crowdwork’ and ‘work-on-demand via apps’. In crowdwork, workers complete small jobs or tasks through online platforms, such as Amazon Mechanical Turk, Crowdflower, and Clickworker. In ‘work-on-demand via apps,’ workers perform duties such as providing transport, cleaning, home repairs, or running errands, but the workers learn about these jobs through mobile apps, from companies such as Uber, Taskrabbit, and Handy. The jobs are performed locally.
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Platforms mediate extensively the transactions they have with their workers, and also between the customers and the workers. Platforms often fix the price of the service as well as define the terms and conditions of the service, or they allow the clients to define the terms (but not the worker). The platform may define the schedule or the details of the work, including instructing workers to wear uniforms, to use specific tools, or to treat customers in a particular way. Many platforms have performance review systems that allow customers to rate the workers and they use these ratings to limit the ability of lower-rated workers to access jobs, including by excluding workers from their system. The amount of direction and discipline that clients and platforms impose on workers, in many instances amounts to the degree of control that is normally reserved to employers and is normally accompanied by labour protections such as the minimum wage, limits on working time, and contributions to social security. This recent ILO study provides more detailed analysis on these features of platform-based work.
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