Remember those offshore forts that would get taken over and repurposed as tax/data havens? Well, this is like that …but in space. Half design fiction, and half ponzi scheme, this will give those libertarian seasteaders a run for the money (in a made-up currency, of course).
I write to understand and remember. Sometimes that will be interesting to others, often it won’t be.
But it’s going to happen. Here, on my own site.
From Scott McCloud to responsive design, Dave is pondering our assumptions about screen real estate:
As the amount of information increases, removing details reduces information density and thereby increasing comprehension.
It reminds me of Edward Tufte’s data-ink ratio.
Top of the props.
CSS properties …props …top of the. Never mind.
This CSS usage data comes from a Bing-powered scan of 2,602,016.00 pages.
Data visualisations created for The Times, complete with code.
Here’s the talk I gave at Mozilla’s View Source event. I really enjoyed talking about the indie web, both from the big-picture view and the nitty gritty.
In these times of centralised services like Facebook, Twitter, and Medium, having your own website is downright disruptive. If you care about the longevity of your online presence, independent publishing is the way to go. But how can you get all the benefits of those third-party services while still owning your own data? By using the building blocks of the Indie Web, that’s how!
An extract from Richard’s excellent book, this is a deep dive into styling tables for the web (featuring some CSS I had never even heard of).
Tables can be beautiful but they are not works of art. Instead of painting and decorating them, design tables for your reader.
(It also contains a splendid use of the term “crawl bar.”)
Manifest files can have categories now. Time to update those JSON files.
Luke has been asking people to imagine ways of augmenting the world. Spimes are back, baby!
A Weekly Journal of Visual Essays
Some lovely data visualisation here.
In July we started receiving audio signals from outside the solar system, and we’ve been studying them since.
Tweets contain sound samples on Soundcloud, data visualisations, and notes about life at the observatory …all generated by code.
ARP is a fictional radio telescope observatory, it’s a Twitter & SoundCloud bot which procedurally generates audio, data-visualisations, and the tweets (and occasionally long-exposure photography) of an astronomer/research scientist who works at ARP, who is obsessive over the audio messages, and who runs the observatory’s Twitter account.
If you feel you are being watched, you change your behavior. Big Data is supercharging this effect.
Some interesting ideas, but the tone is so alarming as to render the message meaningless.
As our weaknesses are mapped, we are becoming too transparent. This is breeding a society where self-censorship and risk-aversion are the new normal.
I stopped reading at the point where the danger was compared to climate change.
- People v. Dronimos
- Writers v. A.I. Rowling
- The Algorithm Defense
The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:
The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.
Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.
- Favor accuracy over speed
- Allow for ambiguity
- Add human judgment
- Advocate sunshine
- Embrace multiple systems
- Make it easy to contribute (accurate) data
- Root out bias and bad assumptions
- Give people control over their data
- Be loyal to the user
- Take responsibility
When I was in Düsseldorf for this year’s excellent Beyond Tellerrand conference, I had the pleasure of meeting Nadieh Bremer, data visualisation designer extraordinaire. I asked her a question which is probably the equivalent of asking a chef what their favourite food is: “what’s your favourite piece of data visualisation?”
There are plenty of popular answers to this question—the Minard map, Jon Snow’s cholera map—but we had just been chatting about Nadieh’s previous life in astronomy, so one answer popped immediately to mind: the Hertzsprung-Russell diagram.
A documentary by Matt Parker (brother of Andy) that follows in the footsteps of people like Andrew Blum, James Bridle, and Ingrid Burrington, going in search of the physical locations of the internet, and talking to the people who maintain it. Steven Pemberton makes an appearance in the first and last of five episodes:
- What is the Cloud vs What Existed Before?
- Working out the Internet: it’s a volume game
- The Submarine Cable Network
- How Much Data Is There?
The music makes it feel quite sinister.