Basel Wear — to answer the question I know was burning on your lips: “what *did* the Swiss wear in 1634?” Impressively detailed pictures from a 1634 book that is now online. One of the reasons I’m in favour of digitizing cultural collections is that we’re more likely to encounter them on the net and so ask questions like “how did people dress in 1634?”, “why did everyone carry keys?”, and “what is a Sexton?”
databranches: Using git as a Database — it’s important to approach your design for using git as a database from the perspective of automated merging. Get the merging right and the rest will follow. I’ve chosen to use the simplest possible merge, the union merge: When merging parent trees A and B, the result will have all files that are in either A or B, and files present in both will have their lines merged (and possibly reordered or uniqed).
Joshfire — open source (dual-licensed GPLv2 and commercial) multiplatform development framework built on HTML5.
The Way I Work: Justin Kan of JustinTV (Inc Magazine) — I admit it, I had written Justin off as “that irritating guy who went around with a camera on all the time” but it turns out he’s quite thoughtful about what he does. I try to keep the meetings small, especially when we’re doing product design. If you have eight people in the design meeting, it doesn’t work. Everybody has an opinion. Everyone wants to weigh in on what the font should look like. The end product becomes the average of eight opinions. You don’t get excellent work, just average. (via Hacker News)
Rhodes — open source cross-platform smartphone app development framework, with offline sync and hosted data storage.
How Transparency Fails and Works Too (Clay Johnson) — another thoughtful piece reflecting the general awakening that “being transparent” is a verb not a noun: you don’t “achieve transparency”, but rather you have a set of actors, actions, and objects inside and outside government that provide the checks and balances we hope to get from transparency. It’s a complex system, requiring way more than just “release the data and they will come”. [L]et’s not fool ourselves into thinking though that just because a system has real-time, online disclosure that somehow the system will be cleaned up. It won’t. Data makes watchdogging possible, sure, but more data makes watchdogging harder. Plus, for the transparency solution to work, people have to actually care enough to watchdog. Imagine that your city council, facing terrible obesity rates, decided to enact and enforce a mandatory nudity law to improve its public health. Policy wonks got together and decided that in order to get people to lose weight, they’d outlaw clothing. People went outside naked, and sure, it was a little uncomfortable at first, but basically— the fat people stayed fat, and the thin people stayed thin. The town was more comfortable just averting their collective eyes.
Meta-Optimize — a StackOverflow-like q&a site for data geeks who groove to topics like “unsupervised methods for word polarity detection”. (via Flowing Data)
Big Data and the Hypocrisy of Privacy: Alicia Asín on data, privacy, and the colossal amount of data the IoT will generate.