- Society of Mind — Marvin Minsky’s book now Creative-Commons licensed.
- Collaboration, Stars, and the Changing Organization of Science: Evidence from Evolutionary Biology — The concentration of research output is declining at the department level but increasing at the individual level. [...] We speculate that this may be due to changing patterns of collaboration, perhaps caused by the rising burden of knowledge and the falling cost of communication, both of which increase the returns to collaboration. Indeed, we report evidence that the propensity to collaborate is rising over time. (via Sciblogs)
- As Engineers, We Must Consider the Ethical Implications of our Work (The Guardian) — applies to coders and designers as well.
- Eyewire — a game to crowdsource the mapping of 3D structure of neurons.
A movement to bring us into a more harmonious relationship with our bodymind and with technology.
“What are you tracking?” This is the conversation at Quantified Self (QS) meetups. The Quantified Self movement celebrates “self-knowledge through numbers.” In our current love affair with QS, we tend to focus on data and the mind. Technology helps manage and mediate that relationship. The body is in there somewhere, too, as a sort of “slave” to the mind and the technology.
From blood sugar to pulse, from keystrokes to time spent online, the assumption is that there’s power in numbers. We also assume that what can be measured is what matters, and if behaviors can be measured, they can be improved. The entire Quantified Self movement has grown around the belief that numbers give us an insight into our bodies that our emotions don’t have.
However, in our relationship with technology, we easily fall out of touch with our bodies. We know how many screen hours we’ve logged, but we are less likely to be able to answer the question: “How do you feel?”
In our obsession with numbers and tracking, are we moving further and further away from the wisdom of the body? Our feelings? Our senses? Most animals rely entirely on their senses and the wisdom of the body to inform their behavior. Does our focus on numbers, measuring, and tracking move us further and further away from cultivating a real connection to our “Essential Self”?
AI Book, Science Superstars, Engineering Ethics, and Crowdsourced Science
R GUI, Drone Regulations, Bitcoin Stats, and Android/iOS Money Shootout
- Deducer — An R Graphical User Interface (GUI) for Everyone.
- Integration of Civil Unmanned Aircraft Systems (UAS) in the National Airspace System (NAS) Roadmap (PDF, FAA) — first pass at regulatory framework for drones. (via Anil Dash)
- Bitcoin Stats — $21MM traded, $15MM of electricity spent mining. Goodness. (via Steve Klabnik)
- iOS vs Android Numbers (Luke Wroblewski) — roundup comparing Android to iOS in recent commerce writeups. More Android handsets, but less revenue per download/impression/etc.
Zombie Drones, Algebra Through Code, Data Toolkit, and Crowdsourcing Antibiotic Discovery
- Skyjack — drone that takes over other drones. Welcome to the Malware of Things.
- Bootstrap World — a curricular module for students ages 12-16, which teaches algebraic and geometric concepts through computer programming. (via Esther Wojicki)
- Harvest — open source BSD-licensed toolkit for building web applications for integrating, discovering, and reporting data. Designed for biomedical data first. (via Mozilla Science Lab)
- Project ILIAD — crowdsourced antibiotic discovery.
The Jawbone UP shows the promise available in all kinds of wearable sensors.
In a recent conversation, I described my phone as “everything that Compaq marketing promised the iPAQ was going to be.” It was the first device I really carried around and used as an extension of my normal computing activities. Of course, everything I did on the iPAQ can be done much more easily on a smartphone these days, so my iPAQ sits in a closet, hoping that one day I might notice and run Linux on it.
In the decade and a half since the iPAQ hit the market, battery capacity has improved and power consumption has gone down for many types of computing devices. In the Wi-Fi arena, we’ve turned phones into sensors to track motion throughout public spaces, and, in essence, “outsourced” the sensor to individual customers.
Phones, however, are relatively large devices, and the I/O capabilities of the phone aren’t needed in most sensor operations. A smartphone today can measure motion and acceleration, and even position through GPS. However, in many cases, display isn’t needed on the sensor itself, and the data to be collected might need another type of sensor. Many inexpensive sensors are available today to measure temperature, humidity, or even air quality. By moving the I/O from the sensor itself onto a centralized device, the battery power can be devoted almost entirely to collecting data. Read more…
- SAMOA — Yahoo!’s distributed streaming machine learning (ML) framework that contains a programming abstraction for distributed streaming ML algorithms. (via Introducing SAMOA)
- madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning methods for structured and unstructured data.
- Data Portraits: Connecting People of Opposing Views — Yahoo! Labs research to break the filter bubble. Connect people who disagree on issue X (e.g., abortion) but who agree on issue Y (e.g., Latin American interventionism), and present the differences and similarities visually (they used wordclouds). Our results suggest that organic visualisation may revert the negative effects of providing potentially sensitive content. (via MIT Technology Review)
- Disguise Detection — using Raspberry Pi, Arduino, and Python.