Hatched by Google Creative Lab creative technologist Jason Striegel, designer Jeff Baxter, and a small team in New York, Coder offers a stepping stone for people interested in building for the web by converting cheap Raspberry Pi mini-computers into personal web servers through a stripped-back web-based development environment.
Google’s pitching Coder at an education audience, a potential sweet spot for Raspberry Pi given its $35 price tag and one Google has focused on previously, gifting 15,000 of the devices to UK schools earlier this year. Raspberry Pi supporters in the UK have also been urging schools to use the devices to spur interest in coding, hacking and building.
We live in an age of interruption. Ping – you have a text message. Ping – you have a new email. Ping – you have a Facebook friend request. Ping – you have a match on your online dating app. Ping-ping-ping, all day long.
A recent Gallup poll found that more than 50 per cent of Americans who own smartphones keep their phone near them “almost all the time during waking hours”. Over 50 per cent say check their smartphone at least several times an hour and 11 per cent say they check it every few minutes. And that’s just what they’re aware of and admit to – I would not be surprised if the real frequency and intensity is much higher.
Until relatively recently in our technological history we did not have a lot of content coming to our devices. Now, we have texts, all kind of notifications and what seems like an endless stream of both personal and work emails. And it’s not just our phones. How many times have you been at your computer working on something when you get an email notification? And of those instances, how often did you stop what you’re doing to look at your email, realised that it was not that important and returned to your work – after taking a few minutes to remind yourself where you were and what your train of thought was?
At this point, it should be painfully clear to everyone that we need to be worried about the interruptions economy. What value do interruptions provide, under what conditions, and what are their costs? A little ping may seem innocuous, but there is cumulating evidence that the cost of an interruption is higher than we realise, and of course given the sheer number of interruptions, their combined effect can very quickly become substantial.
For more than a thousand years, students have been gathering in lecture halls to listen to the “sage on the stage.” But shorter attention spans, new technologies, and empirical testing of learning outcomes have led us to question the tried and true historical “transmission” model of education. In this episode, Ken Steele gives a brief lecture on “the Death of Lecture.” Check out how familiar a 14th-century lecture hall at the Universite di Bologne looks. Former Quest University president David Helfand ex
In his “2017 Design in Tech Report,” John Maeda writes that “code is not the only unicorn skill.” According to Maeda, who is the head of computational design and inclusion at Automattic and former VP of design at VC firm Kleiner Perkins, words can be just as powerful as the graphics in which designers normally traffic. “A lot of times designers don’t know that words are important,” he said while presenting the report at SXSW this weekend. “I know a few designers like that–do you know these designers out there? You do know them, right?”
I’ve spent many years referencing Wikipedia’s list of cognitive biases whenever I have a hunch that a certain type of thinking is an official bias but I can’t recall the name or details. It’s been an invaluable reference for helping me identify the hidden flaws in my own thinking. Nothing else I’ve come across seems to be both as comprehensive and as succinct.
However, honestly, the Wikipedia page is a bit of a tangled mess. Despite trying to absorb the information of this page many times over the years, very little of it seems to stick. I often scan it and feel like I’m not able to find the bias I’m looking for, and then quickly forget what I’ve learned. I think this has to do with how the page has organically evolved over the years. Today, it groups 175 biases into vague categories (decision-making biases, social biases, memory errors, etc) that don’t really feel mutually exclusive to me, and then lists them alphabetically within categories. There are duplicates a-plenty, and many similar biases with different names, scattered willy-nilly.
I’ve taken some time over the last four weeks (I’m on paternity leave) to try to more deeply absorb and understand this list, and to try to come up with a simpler, clearer organizing structure to hang these biases off of. Reading deeply about various biases has given my brain something to chew on while I bounce little Louie to sleep.