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.
Fontlandia is yours to explore.
By leveraging AI and convolutional neural networks to draw higher-vision pattern recognition, we have created a tool that helps designers understand and see relationships across more than 750 web fonts.
Andy compares the impending shutdowns of Ffffound and Mlkshk. They’re quite, quite different when it comes to handling data rescue.
To be clear, every company currently does some form of this tracking of users. There would simply be no other way to measure operations. But Facebook has quite clearly been tiptoeing outside the bounds of what is ethically acceptable data business practices for a while.
A thorough round-up of Facebook’s current data collection practices and what you can do about it.
We don’t take our other valuables with us when we travel—we leave the important stuff at home, or in a safe place. But Facebook and Google don’t give us similar control over our valuable data. With these online services, it’s all or nothing.
We need a ‘trip mode’ for social media sites that reduces our contact list and history to a minimal subset of what the site normally offers.
Images, videos, sounds, and 3D models are now available from the European Space Agency under a Creative Commons Attribution Share-alike license.
A gorgeous visualisation of satellites in Earth orbit. Click around to grasp the scale of the network.
A proposed syllabus for critical thinking: Calling Bullshit in the Age of Big Data.
Our aim in this course is to teach you how to think critically about the data and models that constitute evidence in the social and natural sciences.
You, the software engineers and leaders of technology companies, face an enormous responsibility. You know better than anyone how best to protect the millions who have entrusted you with their data, and your knowledge gives you real power as civic actors. If you want to transform the world for the better, here is your moment. Inquire about how a platform will be used. Encrypt as much as you can. Oppose the type of data analysis that predicts people’s orientation, religion, and political preferences if they did not willingly offer that information.
As always with sci-fi interfaces, the important part is telling the story, not realism or accuracy. Personally, I liked the way that the World War II trappings of Rogue One extended to communications and networking technologies.
Watching this data visualisation on its high speed setting is quite hypnotic.
This document provides Best Practices related to the publication and usage of data on the Web designed to help support a self-sustaining ecosystem. Data should be discoverable and understandable by humans and machines.