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Eudaimonia and Co
▻https://eand.co

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The Quiet Death of the Gig Economy – FutureSin – Medium
▻https://medium.com/futuresin/the-quiet-death-of-the-gig-economy-126f62014a4d

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Michael K. SpencerFollow Jan 7

Disruption, blissfully happy digital nomads, the sharing economy and oh yes — the “Gig Economy” sounded good on paper, but it seems to not be all it was thought it might become.

As the U.S. economy finally and painfully slowly recovered from the great recession of 2008, the supposed unemployment rate fell to record low levels in 2018.

Alan Krueger (Princeton University) and Larry Katz (Harvard University) have dialed down their estimates of the gig economy’s growth by 60%-80%.

According to Guy Berger on LinkedIn, Krueger and Katz published the (at the time) most rigorous analysis of alternative work arrangements. Their conclusion was that such arrangements (of which a minority are online platform gig work) had grown significantly between 2005 and 2015. Their estimate was its share of the US workforce had grown by a whopping 5 percentage points. (7–8 million workers.). Well guess what, that trend now seems to have reversed as the economy recovered.

With Lyft and Uber set to go public with IPOs this year, that to be part-time drivers with them is somehow desirable or helpful to “make ends meet” has all but dried up, right before supposed autonomous vehicles and self-driving cars start to hit the streets in various ways.

Indeed there does not seem to be much sharing and caring in the ruthless world of Uber, amid legal battles and drivers who make less than minimum wage and are like grunt contract workers of the worst kind, totally unprotected.

In a world where Amazon is miserably harsh to its bottom feeder workers, why the heck did we once think the ‘gig economy’ was some glorious alternative workforce? Why the ‘gig’ economy may not be the workforce of the future after all, with rising minimum wages and a small bump in wage growth in 2019. I personally think the American labor force is screwed with a skill-shortage coming the likes of which we’ve rarely seen, but that’s another story for another day.

From Uber to TaskRabbit to YourMechanic, so-called gig work — task-oriented work offered by online apps — has been promoted as providing the flexibility and independence that traditional jobs don’t offer. But in 2019, if anything they seem like scams for the destitute, desperate and debt-ridden. I feel a bit nervous about how manipulative an Uber driver can be just to earn an extra buck. Maybe it’s not a Gig economy but kind of like another form of slavery given a pretty name.

Horror stories of what it’s really like to do delivery work also give you a second guess that this Gig Economy isn’t just disruptive to make these companies rich, it’s a sham and harmful to these workers. I feel as if Silicon Valley has duped us, yet again.

Nobody could have thought or imagined that doing a small gig in exchange for an hourly payment could become someone’s full-time job. It’s a bit like career-death, you get used to the work-lifestyle perks of the so called flexibility until you realize just how little you made the year you side-hustled in the Gig Economy, or became a freelancer or attempted to be self-employed. It’s risky folks, and I don’t recommend it for a minute.

When you need to bring food to the table you are on the fringe of the labor force, the painful predicament of being a Gig Economy minion is your everyday, until it becomes your new normal. Until you lose hope to up-skill or change your career path. Labor is tiresome, but when the fat cats get rich on the backs of people who need the money, you know American capitalism has invented another scam to profit. That’s precisely why the Gig Economy has to die.

Crypto and the Gig Economy seem hot in a recession, but the reality is that lovely expansion of alternative work seems a nice response to the weak US labor market, when job seekers didn’t have many options. But now with the labor market in a much healthier state for a few more months, more conventional jobs have rebounded. The implication may be that we’ll see these kinds of jobs proliferate again during the next downturn. Bitcoin and side-hustles, it doesn’t feel very sustainable.

The “gig” economy was supposed to be an opportunity for entrepreneurs to be their own boss. But if you have to deal with companies like Uber, you might end up getting screwed royally. For the hundreds of people who use services like Uber, TaskRabbit or Turo to earn their livelihood, there’s no thing as benefits, paid leave or basic worker rights. That’s not an ethical solution for people living on the edge.

Companies like TaskRabbit make a fortune by extracting commission in exchange for connecting consumers across the country with reliable people in their neighborhood who will happily take care of their burdensome chores. But is it even ethical? The app-economy is a feudal use of technology and downright as evil as any capitalistic scheme you might want to devise to imprison people in impossible situations.

The Gig Economy was a myth and a scam, and Silicon Valley needs to be held more accountable with regulation. Alan Krueger of Princeton University and Larry Katz of Harvard should actually be apologizing, not revising their estimates. As of 2020, universal basic income sounds more reliable than an exploitative Gig Economy.

The gig economy was supposed to be the future of work, but it ended up hurting more than it helped, and we left it. Just as we should kill Uber.

#USA économie #droits_sociaux #platform_capitalism

Why Superfoods Are Superfluous — at Best – Heated
▻https://heated.medium.com/why-superfoods-are-superfluous-at-best-8c5f0483c9cf

Superfood claimants generally have two key characteristics: They are, for the most part, genuinely nutritious foods; and, they come from far away so that, ideally, you’ve not heard of them before: acai, or noni, or goji. As a result, whether or not they are hard to get, they are often a niche or new market, and so someone stands to make a lot of money off of them; they’re very profitable. Which, unless you’re the one selling them, should leave you cold.

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Mapmaking in the Age of Artificial Intelligence – descarteslabs-team
▻https://medium.com/descarteslabs-team/mapmaking-in-the-age-of-artificial-intelligence-da9e71be21d3

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#cartographie et #machine_learning

Mistakes, we’ve drawn a few – The Economist
▻https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368

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At The Economist, we take data visualisation seriously. Every week we publish around 40 charts across print, the website and our apps. With every single one, we try our best to visualise the numbers accurately and in a way that best supports the story. But sometimes we get it wrong. We can do better in future if we learn from our mistakes — and other people may be able to learn from them, too.
After a deep dive into our archive, I found several instructive examples. I grouped our crimes against data visualisation into three categories: charts that are (1) misleading, (2) confusing and (3) failing to make a point. For each, I suggest an improved version that requires a similar amount of space — an important consideration when drawing charts to be published in print.

Dear Publishers, if you want my subscription dollars (or euros), here is what I expect…
▻https://mondaynote.com/dear-publishers-if-you-want-my-subscription-dollars-or-euros-here-is-wha

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Over the last two years, three forces have combined to favor the subscription model: The “Trump Bump,” the growing concern about misinformation and the depletion of the digital advertising business. After years of denial, the ad is finally acknowledged as a blatant failure for the news sector, with all indicators blinking red: prices remain flat, engagement is dwindling, viewability of formats is at its lowest, fraud is rampant, users vote with their ad-blockers, Google and Facebook have sterilized the battlefield (they snatched 84% of the global ad spending last year), and as if that were not enough, the new data privacy regulation concocted by the EU’s bureaucrats will drastically reduce the performance of advertising. While a small fraction of publishers try to reinvent the ad model, the vast majority is still milking the cow, not realizing that its udders now looks like dried apricots.

The biggest concern in news economics is that, over the recent years, the quality of the service — I’m talking about execution — hasn’t improved significantly. I don’t want to go into finger pointing (it will spare me replies to unpleasant emails). But here are examples of weaknesses that should be easy to address:

#Journalisme #Médias #Economie

danah boyd : When Good Intentions Backfire – Data & Society : Points
►https://points.datasociety.net/when-good-intentions-backfire-786fb0dead03

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I find it frustrating to bear witness to good intentions getting manipulated, but it’s even harder to watch how those who are wedded to good intentions are often unwilling to acknowledge this, let alone start imagining how to develop the appropriate antibodies. Too many folks that I love dearly just want to double down on the approaches they’ve taken and the commitments they’ve made. On one hand, I get it — folks’ life-work and identities are caught up in these issues.

I’ve never met an educator who thinks that the process of educating is easy or formulaic. (Heck, this is why most educators roll their eyes when they hear talk of computerized systems that can educate better than teachers.) So why do we assume that well-intended classroom lessons — or even well-designed curricula — might not play out as we imagine? This isn’t simply about the efficacy of the lesson or the skill of the teacher, but the cultural context in which these conversations occur.

In many communities in which I’ve done research, the authority of teachers is often questioned. Nowhere is this more painfully visible than when well-intended highly educated (often white) teachers come to teach in poorer communities of color. Yet, how often are pedagogical interventions designed by researchers really taking into account the doubt that students and their parents have of these teachers? And how do we as educators and scholars grapple with how we might have made mistakes?

From the outside, companies like Facebook and Google seem pretty evil to many people. They’re situated in a capitalist logic that many advocates and progressives despise. They’re opaque and they don’t engage the public in their decision-making processes, even when those decisions have huge implications for what people read and think. They’re extremely powerful and they’ve made a lot of people rich in an environment where financial inequality and instability is front and center. Primarily located in one small part of the country, they also seem like a monolithic beast.

As a result, it’s not surprising to me that many people assume that engineers and product designers have evil (or at least financially motivated) intentions. There’s an irony here because my experience is the opposite. Most product teams have painfully good intentions, shaped by utopic visions of how the ideal person would interact with the ideal system. Nothing is more painful than sitting through a product design session with design personae that have been plucked from a collection of clichés.

Most products and features that get released start with good intentions, but they too get munged by the system, framed by marketing plans, and manipulated by users. And then there’s the dance of chaos as companies seek to clean up PR messes (which often involves non-technical actors telling insane fictions about the product), patch bugs to prevent abuse, and throw bandaids on parts of the code that didn’t play out as intended. There’s a reason that no one can tell you exactly how Google’s search engine or Facebook’s news feed works. Sure, the PR folks will tell you that it’s proprietary code. But the ugly truth is that the code has been patched to smithereens to address countless types of manipulation and gamification (e.g., SEO to bots). It’s quaint to read the original “page rank” paper that Brin and Page wrote when they envisioned how a search engine could ideally work. That’s so not how the system works today.

Powerful actors have always tried to manipulate the news media, especially State actors. This is why the fourth estate is seen as so important in the American context. Yet, the game has changed, in part because of the distributed power of the masses. Social media marketers quickly figured out that manufacturing outrage and spectacle would give them a pathway to attention, attracting news media like bees to honey. Most folks rolled their eyes, watching as monied people played the same games as State actors. But what about the long tail? How do we grapple with the long tail? How should journalists respond to those who are hacking the attention economy?

In short, I keep thinking that we need more well-intended folks to start thinking like hackers.

Think just as much about how you build an ideal system as how it might be corrupted, destroyed, manipulated, or gamed. Think about unintended consequences, not simply to stop a bad idea but to build resilience into the model.

As a developer, I always loved the notion of “extensibility” because it was an ideal of building a system that could take unimagined future development into consideration. Part of why I love the notion is that it’s bloody impossible to implement. Sure, I (poorly) comment my code and build object-oriented structures that would allow for some level of technical flexibility. But, at the end of the day, I’d always end up kicking myself for not imagining a particular use case in my original design and, as a result, doing a lot more band-aiding than I’d like to admit.

#Hacker #Freaks #Résilience #danah_boyd

The Mueller Report Is In. They Were Wrong. We Were Right.
▻https://medium.com/@caityjohnstone/the-mueller-report-is-in-they-were-wrong-we-were-right-a915d23a6d82

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The results are in and the debate is over: those advancing the conspiracy theory that the Kremlin has infiltrated the highest levels of the US government were wrong, and those of us voicing skepticism of this were right.

#complotisme (autorisé) #états-unis #Russie

Body politics: The old and new public health risks of networked health misinformation
▻https://points.datasociety.net/body-politics-the-old-and-new-public-health-risks-of-networked-h

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There are clear parallels between the tactics used to spread health disinformation and political content. For instance, in 2018, researchers found that large networks of bots and trolls were spreading anti-vaccination rhetoric to sow confusion online and amplify the appearance of an anti-vaccination community. The anti-vaccination tweets often referenced conspiracy theories, and some accounts almost singularly focused on the U.S. government. As a result, real-life users and orchestrated networks of bots are engaged in a feedback loop. Recently, political public figures have used their platform to amplify vaccination misinformation, such as tweeting that measles can help fight cancer. There is a long history of people using influence to sway public opinion about vaccines—particularly among celebrities.

These are symptoms of a larger societal crisis: disinformation campaigns aimed to undermine social institutions.

The search and recommendation algorithms that underpin our information retrieval systems are other modern tools mediating access to health information. When a user enters an inquiry into a search engine, they receive curated results. As so many people rely on search engines for health information, they are another important mechanism that is susceptible to manipulation. For instance, the websites of some crisis pregnancy centers—which are designed to look and sound like those of clinics that provide abortion care, but instead give misleading information about the negative effects of abortion to visitors—are optimized results for Google searches often made by women seeking abortion information.

Similarly, recommendation systems on popular social media platforms, particularly Facebook and YouTube, create easy entry points for problematic content. For example, a mother joining a generic parenting group on Facebook may subsequently receive recommendations for anti-vaxx groups. Bots, search engine optimization, and gaming of recommendation systems are foundational tools used by various actors to influence public health discourse and skew public debates — often blurring the line between medical mistrust and larger political ideologies and agendas.

#Information_médicale #Santé_publique #Vaccination #Complotisme #Médias_sociaux #Algorithmes

Hilma af Klint: Visualizing the Spirit World – Towards Data Science
▻https://towardsdatascience.com/hilma-af-klint-visualizing-the-spirit-world-bb54781d9beb

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The art world has been knocked off its feet by Hilma af Klint. Shaken by a completely unknown woman artist who, 69 years after her death, challenges the historic timeline and authorship of abstract painting. af Klint’s work is bright, bold, often monumental in scale, and decidedly non-representative in nature. Her paintings flatten 2-dimensional space in a way that pre-dates Wassily Kandinsky and the modernists by a few years that has initiated a debate about who invented abstract painting.

#Hilma_af_Klint #art #visualisation #femme_artiste #invisibilité

Lieux métamorphes : l’ #urban #lowtech qui rend les villes #agiles
▻https://medium.com/@legallou.diego/lieux-m%C3%A9tamorphes-lurban-low-tech-qui-rend-les-villes-agiles-eee9b7394c

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L’étouffante homogénéité – johannaluyssen – Medium

▻https://medium.com/@johannaluyssen/l%C3%A9touffante-homog%C3%A9n%C3%A9it%C3%A9-fc0bbe3285a4

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Depuis les révélations des infâmes pratiques de la « #Ligue_du_LOL », ce boys’ club ayant harcelé pendant des années principalement des femmes, des personnes LGBT ou des personnes racisées, je me pose des questions.
La première concerne mon statut d’expatriée : la « Ligue du LOL » pourrait-elle exister en Allemagne ?

Il me semble que non.

Le harcèlement et le sexisme existent ici aussi, évidemment.

Seulement, l’écosystème dans lequel cette histoire s’est déroulée est très français.

#culture_du_viol #harcèlement #harcèlement_sexuel

Mapping All of the Trees with Machine Learning – descarteslabs-team – Medium
▻https://medium.com/descarteslabs-team/descartes-labs-urban-trees-tree-canopy-mapping-3b6c85c5c9cc

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All this fuss is not without good reason. Trees are great! They make oxygen for breathing, suck up CO₂, provide shade, reduce noise pollution, and just look at them — they’re beautiful!
8th Street in Park Slope, Brooklyn last May. Look at those beautiful trees!

The thing is, though, that trees are pretty hard to map. The 124,795 trees in the San Francisco Urban Forest Map shown below, for example, were cataloged over a year of survey work by a team of certified arborists. The database they created is thorough, with information on tree species and size as well as environmental factors like the presence of power lines or broken pavement.

But surveys like this are expensive to conduct, difficult to maintain, and provide an incomplete picture of the entire extent of the urban tree canopy. Both the San Francisco inventory below and the New York City TreesCount! do an impeccable job mapping the location, size and health of street trees, but exclude large chunks within the cities, like parks.

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#arbre #arbres #cartographie #machine_learning

#Information_Design in Public Transportation — Part I
▻https://medium.com/goodpatch-europe/information-design-in-public-transportation-part-i-58e3c9218d9e?ref=heydesig

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In the past centuries, cartographers — the true pioneers of information design — mapped out the world with all the intricate details they discovered. Of course, not everything could be unearthed at once, so there was often leftover spots on the paper for the great unknown. These white spaces were then covered by fantasy illustrations like sea monsters or imaginary islands in order to fill out the lacking pieces of information.

Today it’s almost the opposite. There’s almost too much information and it has become about reducing complexity. It is overwhelming to see the amount of data we absorb every day, most of it subconsciously seeping into our brains. This overload became apparent early on and almost instantly gave way to the discipline of Information Design, which emerged in the 1970s and reflects a science of presenting #information in a way that fosters efficient and effective understanding of it.

#carto #graphisme

One Minute Past Midnight: Bastion & Healing from Nuclear Devastation
▻https://deorbital.media/one-minute-past-midnight-3a40c9788e60

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The term “power fantasy” pops up a lot in video game criticism. Bastion, you see, is a game that made me feel powerful in a way I don’t get to in my real life. On the most basic level, that’s because I was one person against the world and, through skill and grit and an upgrade tree, I managed to beat the world back.
And then, after all the fighting, I stood there. The Kid and Rucks and Zia and Zulf stared me down from one side, an impossible choice stared me down from the other. Do I trust that this country won’t repeat the same mistake this time around, or do I cut my losses and head for greener pastures? Do I pick Restoration or Evacuation?
Staring at my laptop 6 years ago at 1AM, sobbing, a brutal headache pounding at my temples, I turned to Zia and we left the past behind us.

I chose Evacuation the first time, and I chose it every time after that. I could fabricate an argument that Caelondia was a lost cause that crafted its own destruction out of sheer paranoia, that it was and will always be doomed, but the truth is I’m never able to tear apart the family I built from its ashes. I can’t help but cling to them and the prayer for the better future they symbolize. The real power fantasy at the heart of this game is the idea that I can wake up the day after annihilation and build something beautiful and intimate and important from the wreckage.

Why Did the New Gillette Ad Backfire so Horrendously?
▻https://blog.usejournal.com/why-did-the-new-gillette-ad-backfire-so-horrendously-c8b13d4bbb1b

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People do not want to be instructed on morality by corporations that sell consumer goods.

Advertising is not the realm of moral instruction. When you deliver a moral message that you want to have a lasting impact, there is literally no worse way to undermine that message than by sticking a corporate logo on the end of it. It comes across as instinctively shallow, opportunistic and self-serving. This style of morally intuitive advertising was a very common tactic in the 60’s and 70’s, but that’s because viewers were generally speaking: “marketing illiterate”. People didn’t see many ads and they didn’t understand the ploys that advertisers used to get them to put their wallets on the line. However, our generation is very different. We have grown up surrounded by ads, and we have developed a relatively good sense for ads that employ shifty tactics.

Gillette is a company that sells razors and and other shaving aids. It is not a place that people go to for lessons on moral principles, and when viewers feel as though they are being lectured by a brand on already inflammatory principles such as their own emotional intelligence, or the fundamentals of their behaviour, they are quick to react in a way that defends their ideals from such unnecessary and uninvited prodding.

Personally, I don’t see anything wrong with the message in the film clip. It is important that men call out sexist and derogatory behaviour when they see it. But when a corporation whose sole function is to sell devices that remove facial hair, begin to assert that it is their place to tell men how they can be more morally responsible, it’s no wonder why some feel as though Gillette have played the wrong note.

I realised that the moderators of Gillette’s Youtube account had in fact been deleting the negative comments that were gathering the most likes beneath the video. If you visit the video HERE you will find that all the negative comments will have time-stamps that are less than a few hours old, and there are repeated comments saying that their comments have been deleted before. It’s multi-million dollar corporation acting like a nervous teen deleting negative comments on their instagram photos.

Doing this not only reflects the lack of solitude and confidence that Gillette have in their new campaign, because they are so obviously fearful of criticism; it speaks to the heart of their issue. They are so concerned with their public image, they are willing to do anything that delivers them social praise. Which means that they are also willing to make an advertisement that is so obviously an effort to monetise “progressive” social movements, and reflects such an icky form of capitalistic opportunism that even people unconcerned by the warring politics of SJW’s and right-wingers are weighing in on the sheer stupidity of it’s campaign

#Gillette #Publicité #Viralité

How We Built the World’s Prettiest Auto-Generated Transit Maps
▻https://medium.com/transit-app/how-we-built-the-worlds-prettiest-auto-generated-transit-maps-12d0c6fa502f

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Villes disponibles
Canada
France
United States
United Kingdom
Iceland
Italy
Germany
Australia
New Zealand
Mexico
Kenya
Nicaragua

////

Angers
Besançon
Béziers
Bordeaux
Brest
Cahors
Grenoble
Fougères
Le Mans
Lille
Lorient
Lyon
Marseille
Metz
Montpellier
Nancy
Nantes
Nice
Paris
Perpignan
Rennes
Strasbourg
Toulon
Toulouse

#transport #urban_matter #cartographie

Vaex: Out of Core Dataframes for Python and Fast Visualization
▻https://towardsdatascience.com/vaex-out-of-core-dataframes-for-python-and-fast-visualization-12

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Wouldn’t it be great if you could load a 1 TB data file instantly.

All this is possible with memory mapping, which is a technique where you tell the operating system that you want a piece of memory to be in sync with the content on disk. It is technically quite similar to a swap disk. If a piece of memory isn’t modified, or not used for a while, the kernel will discard it so that RAM can be reused.

#python #pandas dépassé par #vaex? @lazuly

It’s about time #OpenStreetMap showed native lands on the map
▻https://hi.stamen.com/its-about-time-openstreetmap-showed-native-lands-on-the-map-cfc56e92b2ac

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We often say that OSM is a collaborative map of the world, but in reality, it’s a collaborative database of map features. There is only one database, but there are many possible maps that can be made from that data. But when it comes down to it, there’s still one map that matters most to the OSM community, and that’s the “default” map that you see on the OpenStreetMap website.

One thing that’s always frustrated me about that map is that it doesn’t include native reservations. You can add reservations to the database, (and many of us have been doing just that) but they don’t show up on the default map.

After a Year of Tech Scandals, Our 10 Recommendations for AI
▻https://medium.com/@AINowInstitute/after-a-year-of-tech-scandals-our-10-recommendations-for-ai-95b3b2c5e5

Let’s begin with better regulation, protecting workers, and applying “truth in advertising” rules to AI Today the AI Now Institute publishes our third annual report on the state of AI in 2018, including 10 recommendations for governments, researchers, and industry practitioners. It has been a dramatic year in AI. From Facebook potentially inciting ethnic cleansing in Myanmar, to Cambridge Analytica seeking to manipulate elections, to Google building a secret censored search engine for the (...)

#CambridgeAnalytica #Google #ICE #Microsoft #Amazon #Facebook #algorithme #CCTV #travail #biométrie #facial #surveillance #vidéo-surveillance (...)

##marketing

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