- Patterns for Research in Machine Learning — every single piece of advice should be tattooed under the eyelids of every beginning programmer, regardless of the field.
- Milton Friedman’s Thermostat — Everybody knows that if you press down on the gas pedal the car goes faster, other things equal, right? And everybody knows that if a car is going uphill the car goes slower, other things equal, right? But suppose you were someone who didn’t know those two things. And you were a passenger in a car watching the driver trying to keep a constant speed on a hilly road. You would see the gas pedal going up and down. You would see the car going downhill and uphill. But if the driver were skilled, and the car powerful enough, you would see the speed stay constant. So, if you were simply looking at this particular “data generating process”, you could easily conclude: “Look! The position of the gas pedal has no effect on the speed!”; and “Look! Whether the car is going uphill or downhill has no effect on the speed!”; and “All you guys who think that gas pedals and hills affect speed are wrong!” (via Dr Data’s Blog)
- Transparency Doesn’t Kill Kittens (O’Reilly Radar) — Atul Gawande says, cystic fibrosis … had data for 40 years on the performance of the centers around the country that take care of kids with cystic fibrosis. They shared the data privately [...] They just told you where you stood relative to everybody else and they didn’t make that information public. About four or five years ago, they began making that information public. It’s now available on the Internet. You can see the rating of every center in the country for cystic fibrosis. Several of the centers had said, “We’re going to pull out because this isn’t fair.” Nobody ended up pulling out. They did not lose patients in hoards and go bankrupt unfairly. They were able to see from one another who was doing well and then go visit and learn from one and other.
- 3D Printing: The Coolest Way to Visualize Sound — just what it says. (via Infovore)
ENTRIES TAGGED "transparency"
Programming Patterns, Limits of Observation, Surviving Transparency, 3D Printing Sounds
Talking About Your Product, Moving On, Visible Turk, and Digital Nativity
- What Twitter’s API Anouncement Could Have Said (Anil Dash) — read this and learn. Anil shows how powerful it is to communicate from the perspective of the reader. People don’t care about your business model or platform changes except as it applies to them. Focus on what you’re doing for the user, because that’s why you make every change–right? Your average “we’ve changed things” message focuses on the platform not the user: “*we* changed things for *our* reasons” and the implicit message is because *we* have all the power”. Anil’s is “you just got this Christmas present, because we are always striving to make things better for you!”. If it’s deceitful bullshit smeared over an offensive money grab, the reader will smell it. But if you’re living life right, you’re telling the truth. And they can smell that, too.
- Goodbye, Everyblock — Adrian Holovaty is moving on and ready, once more, to make something awesome.
- Turkopticon — transparency about crappy microemployers for people who work on Mechanical Turk. (via Beta Knowledge)
- Digital Natives, 10 Years After (PDF) — we need to move away from this fetish of insisting in naming this generation the Digital/Net/Google Generation because those terms don’t describe them, and have the potential of keeping this group of students from realizing personal growth by assuming that they’ve already grown in areas that they so clearly have not.
OpenROV Funded, Teen Surprises, Crowdsourced Net Transparency, and Like Humour
- OpenROV Funded in 1 Day (Kickstarter) — an open source robotic submarine designed to make underwater exploration possible for everyone. (via BoingBoing)
- McAfee Digital Divide Study (PDF) — lots of numbers showing parents are unaware of what their kids do. (via Julie Starr)
- Herdict — crowdsourced transparency to reveal who is censoring what online. (via Twitter)
- You Really Really Like Me (NY Times) — cute collection of visual riffs on “like” and “tweet this” iconography. I like my humour pixellated.
Emily Bell is entrusted with teaching the data journalists of the next century at Columbia University.
In this interview, the director of the Tow Center for Digital Journalism at Columbia University talks about the challenges and opportunities that face those who would practice data journalism in the 21st century. In particular, Emily Bell discusses the skills and mindset that are needed, including how a $2 million research grant will help support developing them.
Animal Imagery, Infectious Ideas, Internet v Books, and Transparency Projects
- Penguins Counted From Space (Reuters) — I love the unintended flow-on effects of technological progress. Nobody funded satellites because they’d help us get an accurate picture of wildlife in the Antarctic, but yet here we are. The street finds a use …
- What Makes a Super-Spreader? — A super-spreader is a person who transmits an infection to a significantly greater number of other people than the average infected person. The occurrence of a super spreader early in an outbreak can be the difference between a local outbreak that fizzles out and a regional epidemic. Cory, Waxy, Gruber, Ms BrainPickings Popova: I’m looking at you. (via BoingBoing)
- The Internet Did Not Kill Reading Books (The Atlantic) — reading probably hasn’t declined to the horrific levels of the 1950s.
- Data Transparency Hacks — projects that came from the WSJ Data Transparency Codeathon.
Author Terence Craig on why data transparency trumps anonymization.
Ironclad digital privacy isn't realistic, argues "Privacy and Big Data" co-author Terence Craig. What we need instead are laws and commitments founded on transparency.
IBM taps the cloud to make Hadoop easier, Factual cleans geo data, Google gets transparent with gov data requests.
IBM targets businesses with a cloud-based Hadoop product, Factual tackles incomplete geo records, and Google embraces transparency by publishing and explaining the data requests it gets from governments.
In a world of full disclosure, cooking the data is the new cooking the books.
Open data and transparency aren't enough: we need True Data, not Big Data, as well as regulators and lawmakers willing to act on it.
I have posted a prepublication draft of my article “Promoting Open Source Software in Government: The Challenges of Motivation and Follow-Through,” published by the Journal of Information Technology & Politics.