Raw data is both an oxymoron and a bad idea; to the contrary, data should be cooked with care.
Never mind their recent data breach—the reason to avoid Quora is that it’s a data roach motel.
All of Quora’s efforts to lock up its community’s contributions make it incredibly difficult to preserve when that they go away, which they someday will. If you choose to contribute to Quora, they’re actively fighting to limit future access to your own work.
The map we need if we want to think about how global living conditions are changing - Our World in Data
While a geographical map is helpful if you want to find your way around the world, a population cartogram is the representation that we need if we want to know where our fellow humans are at home.
Damn, that’s a fine opening! And the rest of this post by Alex is pretty darn great too. He’s absolutely right in calling out the fetishisation of developer experience at the expense of user needs:
The swap is executed by implying that by making things better for developers, users will eventually benefit equivalently. The unstated agreement is that developers share all of the same goals with the same intensity as end users and even managers. This is not true.
I have a feeling that this will be a very bitter pill for many developers to swallow:
If one views the web as a way to address a fixed market of existing, wealthy web users, then it’s reasonable to bias towards richness and lower production costs. If, on the other hand, our primary challenge is in growing the web along with the growth of computing overall, the ability to reasonably access content bumps up in priority. If you believe the web’s future to be at risk due to the unusability of most web experiences for most users, then discussion of developer comfort that isn’t tied to demonstrable gains for marginalized users is at best misguided.
Oh,captain, my captain!
Tools that cost the poorest users to pay wealthy developers are bunk.
It turns out that a whole lot of The So-Called Cloud is relying on magnetic tape for its backups.
Typography meets astronomy in 16th century books like the Astronomicum Caesareum.
It is arguably the most typographically impressive scientific manual of the sixteenth century. Owen Gingerich claimed it, “the most spectacular contribution of the book-maker’s art to sixteenth-century science.”
From smart dust and spimes, through to online journaling and social media, to machine learning, big data and digital preservation…
Is the archive where information goes to live forever, or where data goes to die?
This strikes me as a sensible way of thinking about machine learning: it’s like when we got relational databases—suddenly we could do more, quicker, and easier …but it doesn’t require us to treat the technology like it’s magic.
An important parallel here is that though relational databases had economy of scale effects, there were limited network or ‘winner takes all’ effects. The database being used by company A doesn’t get better if company B buys the same database software from the same vendor: Safeway’s database doesn’t get better if Caterpillar buys the same one. Much the same actually applies to machine learning: machine learning is all about data, but data is highly specific to particular applications. More handwriting data will make a handwriting recognizer better, and more gas turbine data will make a system that predicts failures in gas turbines better, but the one doesn’t help with the other. Data isn’t fungible.
An even-handed assessment of the benefits and dangers of machine learning.
New Privacy Rules Could Make This Woman One of Tech’s Most Important Regulators - The New York Times
It’s kind of surreal to see a profile in the New York Times of my sister-in-law. Then again, she is Ireland’s data protection commissioner, and what with Facebook, Twitter, and Google all being based in Ireland, and with GDPR looming, her work is more important than ever.
By the way, this article has 26 tracking scripts. I don’t recall providing consent for any of them.
These are beautiful!
Featured below is a chronology of various attempts through the last four centuries to visually organise and make sense of colour.
A beautiful visualisation of shipping routes and cargo. Mesmerising!
You can see movements of the global merchant fleet over the course of 2012, overlaid on a bathymetric map. You can also see a few statistics such as a counter for emitted CO2 (in thousand tonnes) and maximum freight carried by represented vessels (varying units).
But while I’ve never “opted in” to Facebook or any of the other big social networks, Facebook still has a detailed profile that can be used to target me. I’ve never consented to having Facebook collect my data, which can be used to draw very detailed inferences about my life, my habits, and my relationships. As we aim to take Facebook to task for its breach of user trust, we need to think about what its capabilities imply for society overall. After all, if you do #deleteFacebook, you’ll find yourself in my shoes: non-consenting, but still subject to Facebook’s globe-spanning surveillance and targeting network.
Facebook’s “shadow profiles” are truly egregious …and if you include social sharing buttons on a website, you’re contributing to the data harvest.
If you administer a website and you include a “Like” button on every page, you’re helping Facebook to build profiles of your visitors, even those who have opted out of the social network.
If you are responsible for running a website, try browsing it with a third-party-blocking extension turned on. Think about how much information you’re requiring your users to send to third parties as a condition for using your site. If you care about being a good steward of your visitors’ data, you can re-design your website to reduce this kind of leakage.