- Sir Trevor — nice rich-text editing. Interesting how Markdown has become the way to store formatted text without storing HTML (and thus exposing the CSRF-inducing HTML-escaping stuckfastrophe).
- Slate for Excel — visualising spreadsheet structure. I’d be surprised if it took MSFT or Goog 30 days to acquire them.
- Project Shield — Google project to protect against DDoSes.
- Digital Attack Map — DDoS attacks going on around the world. (via Jim Stogdill)
Rich Text Editing, Structural Visualisation, DDoS Protection, Realtime DDoS Map
No Managers, Bezos Pearls, Visualising History, and Scalable Key-Value Store
- No Managers — If we could find a way to replace the function of the managers and focus everyone on actually producing for our Students (customers) then it would actually be possible to be a #NoManager company. In my future posts I’ll explain how we’re doing this at Treehouse.
- The 20 Smartest Things Jeff Bezos Has Ever Said (Motley Fool) — I feel like the 219th smartest thing Jeff Bezos has ever said is still smarter than the smartest thing most business commentators will ever say. (He says, self-referentially) “Invention requires a long-term willingness to be misunderstood.”
- Putting Time in Perspective — nifty representations of relative timescales and history. (via BoingBoing)
- Sophia — BSD-licensed small C library implementing an embeddable key-value database “for a high-load environment”.
Modern data processing tools, many of them open source, allow more clinical studies at lower costs
This guest posting was written by Yadid Ayzenberg (@YadidAyzenberg on Twitter). Yadid is a PhD student in the Affective Computing Group at the MIT Media Lab. He has designed and implemented cloud platforms for the aggregation, processing and visualization of bio-physiological sensor data. Yadid will speak on this topic at the Strata Rx conference.
A few weeks ago, I learned that the Framingham Heart Study would lose $4 million (a full 40 percent of its funding) from the federal government due to automatic spending cuts. This seminal study, begun in 1948, set out to identify the contributing factors to Cardiovascular Disease (CVD) by following a group of 5,209 men and woman and tracking their life style habits, performing regular physical examinations and lab tests. This study was responsible for finding the major risk factors for CVD, such as high blood pressure and lack of exercise. The costs associated with such large-scale clinical studies are prohibitive, making them accessible only to organizations with sufficient financial resources or through government funding.
Health data can go beyond the averages and first order patient characteristics to find long-term trends
This article was written with Arijit Sengupta, CEO of BeyondCore. Tim and Arijit will speak at Strata Rx 2013 on the topic of this post.
Current healthcare cost prevention efforts focus on the top 1% of highest risk patients. As care coordination efforts expand to a larger set of the patient population, the critical question is: If you’re a care manager, which patients should you offer additional care to at any given point in time? Our research shows that focusing on patients with the highest risk scores or highest current costs create suboptimal roadmaps. In this article we share an approach to predict patients whose costs are about to skyrocket, using a hypothesis-free micro-segmentation analysis. From there, working with physicians and care managers, we can formulate appropriate interventions.
Better Tutorials, Self-Talk, Better AI, and Visualised Mechanics
- pineapple.io — attempt to crowdsource rankings for tutorials for important products, so you’re not picking your way through Google search results littered with tutorials written by incompetent illiterates for past versions of the software.
- BBC Forum — American social psychologist Aleks Krotoski has been looking at how the internet affects the way we talk to ourselves. Podcast (available for next 30 days) from BBC. (via Vaughan Bell)
- Why Can’t My Computer Understand Me (New Yorker) — using anaphora as the basis of an intelligence test, as example of what AI should be striving for. It’s not just that contemporary A.I. hasn’t solved these kinds of problems yet; it’s that contemporary A.I. has largely forgotten about them. In Levesque’s view, the field of artificial intelligence has fallen into a trap of “serial silver bulletism,” always looking to the next big thing, whether it’s expert systems or Big Data, but never painstakingly analyzing all of the subtle and deep knowledge that ordinary human beings possess. That’s a gargantuan task— “more like scaling a mountain than shoveling a driveway,” as Levesque writes. But it’s what the field needs to do.
- 507 Mechanical Movements — an old basic engineering textbook, animated. Me gusta.
Aural Viz, SPOF ID, Information Asymmetry, and Support IA
- choir.io explained (Alex Dong) — Sound is the perfect medium for wearable computers to talk back to us. Sound has a dozen of properties that we can tune to convey different level of emotions and intrusivenesses. Different sound packs would fit into various contexts.
- Identity Single Point of Failure (Tim Bray) — continuing his excellent series on federated identity. There’s this guy here at Google, Eric Sachs, who’s been doing Identity stuff in the white-hot center of the Internet universe for a lot of years. One of his mantras is “If you’re typing a password into something, unless they have 100+ full-time engineers working on security and abuse and fraud, you should be nervous.” I think he’s right.
- What Does It Really Matter If Companies Are Tracking Us Online? (The Atlantic) — Rather, the failures will come in the form of consumers being systematically charged more than they would have been had less information about that particular consumer. Sometimes, that will mean exploiting people who are not of a particular class, say upcharging men for flowers if a computer recognizes that that he’s looking for flowers the day after his anniversary. A summary of Ryan Calo’s paper. (via Slashdot)
- Life Inside Brewster’s Magnificent Contraption (Jason Scott) — I’ve been really busy. Checking my upload statistics, here’s what I’ve added to the Internet Archive: Over 169,000 individual objects, totaling 245 terabytes. You should subscribe and keep them in business. I did.
Audio Visualization, 3D Printed Toys, Data Center Computing, and Downloding Not Yet Beaten
- github realtime activity — audio triggered by github activity, built with choir.io.
- Makies Hit Shelves at Selfridges — 3d printing business gaining mainstream distribution. Win!
- The Datacenter as Computer — we must treat the datacenter itself as one massive warehouse-scale computer (WSC). We describe the architecture of WSCs, the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. We hope it will be useful to architects and programmers of today’s WSCs, as well as those of future many-core platforms which may one day implement the equivalent of today’s WSCs on a single board. (via Mike Loukides)
- Illegal Downloads Not Erased By Simultaneous Release — Data gathered by TorrentFreak throughout the day reveals that most early downloaders, a massive 16.1%, come from Australia. Down Under the show aired on the pay TV network Foxtel, but it appears that many Aussies prefer to download a copy instead. The same is true for the United States and Canada, with 16% and 9.6% of the total downloads respectively, despite the legal offerings. Unclear whether this represents greater or less downloading than would have happened without simultaneous release.
Arijit Sengupta of BeyondCore uncovers hidden relationships in public health data
The importance of visualizing data is universally recognized. But, usually the data is passive input to some visualization tool and the users have to specify the precise graph they want to visualize. BeyondCore simplifies this process by automatically evaluating millions of variable combinations to determine which graphs are the most interesting, and then highlights these to users. In essence, BeyondCore automatically tells us the right questions to ask of our data.
In this video, Arijit Sengupta, CEO of BeyondCore, describes how public health data can be analyzed in real-time to discover anomalies and other intriguing relationships, making them readily accessible even to viewers without a statistical background. Arijit will be speaking at Strata Rx 2013 with Tim Darling of Objective Health, a McKinsey Solution for Healthcare Providers, on the topic of this post.
Distrusting CA Certs, Brain Talk, Ineffective Interventions, and Visual A/B Tools
- Reducing the Roots of Some Evil (Etsy) — Based on our first two months of data we have removed a number of unused CA certificates from some pilot systems to test the effects, and will run CAWatch for a full six months to build up a more comprehensive view of what CAs are in active use. Sign of how broken the CA system for SSL is. (via Alex Dong)
- Mind the Brain — PLOS podcast interviews Sci Foo alum and delicious neuroscience brain of awesome, Vaughan Bell. (via Fabiana Kubke)
- How Often are Ineffective Interventions Still Used in Practice? (PLOSone) — tl;dr: 8% of the time. Imagine the number if you asked how often ineffective software development practices are still used.
- Announcing Evan’s Awesome A/B Tools — I am calling these tools awesome because they are intuitive, visual, and easy-to-use. Unlike other online statistical calculators you’ve probably seen, they’ll help you understand what’s going on “under the hood” of common statistical tests, and by providing ample visual context, they make it easy for you to explain p-values and confidence intervals to your boss. (And they’re free!)
Better Crypto, NukeViz, Weed Economics, and Ethics of Prediction
- Applied Practical Cryptography — technical but readable article with lots of delicious lines. They’re a little magical, in the same sense that ABS brakes were magical in the 1970s and Cloud applications share metal with strangers, and thus attackers, who will gladly spend $40 to co-host themselves with a target and The conservative approach is again counterintuitive to developers, to whom hardcoding anything is like simony.
- Nukemap — interactive visualization of the fallout damage from a nuclear weapon. Now we can all be the scary 1970s “this is what it would look like if [big town] were nuked” documentaries that I remember growing up with. I love interactives for learning the contours of a problem, and making it real and personal in a way that a static visualization cannot. WIN. See also the creator’s writeup.
- Legalising Weed — Chuck, a dealer who switched from selling weed in California to New York and quadrupled his income, told WNYC, “There’s plenty of weed in New York. There’s just an illusion of scarcity, which is part of what I’m capitalizing on. Because this is a black market business, there’s insufficient information for customers.” Invisible economies are frequently inefficient, disrupted by moving online and made market-sense efficient.
- Can Software That Predicts Crime Pass Constitutional Muster? (NPR) — “I think most people are gonna defer to the black box,” he says. “Which means we need to focus on what’s going into that black box, how accurate it is, and what transparency and accountability measures we have [for] it.”