- The Death and Life of Great Internet Cities — “The sense that you were given some space on the Internet, and allowed to do anything you wanted to in that space, it’s completely gone from these new social sites,” said Scott. “Like prisoners, or livestock, or anybody locked in institution, I am sure the residents of these new places don’t even notice the walls anymore.”
- What You’re Not Supposed To Do With Google Glass (Esquire) — Maybe I can put these interruptions to good use. I once read that in ancient Rome, when a general came home victorious, they’d throw him a triumphal parade. But there was always a slave who walked behind the general, whispering in his ear to keep him humble. “You are mortal,” the slave would say. I’ve always wanted a modern nonslave version of this — a way to remind myself to keep perspective. And Glass seemed the first gadget that would allow me to do that. In the morning, I schedule a series of messages to e-mail myself throughout the day. “You are mortal.” “You are going to die someday.” “Stop being a selfish bastard and think about others.” (via BoingBoing)
- Neural Networks and Deep Learning — Chapter 1 up and free, and there’s an IndieGogo campaign to fund the rest.
- What We Know and Don’t Know — That highly controlled approach creates the misconception that fossils come out of the ground with labels attached. Or worse, that discovery comes from cloaked geniuses instead of open discussion. We’re hoping to combat these misconceptions by pursuing an open approach. This is today’s evolutionary science, not the science of fifty years ago We’re here sharing science. […] Science isn’t the answers, science is the process. Open science in paleoanthropology.
Internet Cities, Defying Google Glass, Deep Learning Book, and Open Paleoanthropology
Unlocking Scientific Data with Python
Most people working on complex software systems have had That Moment, when you throw up your hands and say “If only we could start from scratch!” Generally, it’s not possible. But every now and then, the chance comes along to build a really exciting project from the ground up.
In 2011, I had the chance to participate in just such a project: the acquisition, archiving and database systems which power a brand-new hypervelocity dust accelerator at the University of Colorado.
Coding for Unreliability, AirBnB JS Style, Category Theory, and Text Processing
- Quantitative Reliability of Programs That Execute on Unreliable Hardware (MIT) — As MIT’s press release put it: Rely simply steps through the intermediate representation, folding the probability that each instruction will yield the right answer into an estimation of the overall variability of the program’s output. (via Pete Warden)
- Category Theory for Scientists (MIT Courseware) — Scooby snacks for rationalists.
- Textblob — Python open source text processing library with sentiment analysis, PoS tagging, term extraction, and more.
Publishing Bad Research, Reproducing Research, DIY Police Scanner, and Inventing the Future
- Science Not as Self-Correcting As It Thinks (Economist) — REALLY good discussion of the shortcomings in statistical practice by scientists, peer-review failures, and the complexities of experimental procedure and fuzziness of what reproducibility might actually mean.
- Reproducibility Initiative Receives Grant to Validate Landmark Cancer Studies — The key experimental findings from each cancer study will be replicated by experts from the Science Exchange network according to best practices for replication established by the Center for Open Science through the Center’s Open Science Framework, and the impact of the replications will be tracked on Mendeley’s research analytics platform. All of the ultimate publications and data will be freely available online, providing the first publicly available complete dataset of replicated biomedical research and representing a major advancement in the study of reproducibility of research.
- $20 SDR Police Scanner — using software-defined radio to listen to the police band.
- Reimagine the Chemistry Set — $50k prize in contest to design a “chemistry set” type kit that will engage kids as young as 8 and inspire people who are 88. We’re looking for ideas that encourage kids to explore, create, build and question. We’re looking for ideas that honor kids’ curiosity about how things work. Backed by the Moore Foundation and Society for Science and the Public.
New Math, Business Math, Summarising Text, Clipping Images
- Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It (Jennifer Ouellette) — Yale University mathematician Ronald Coifman says that what is really needed is the big data equivalent of a Newtonian revolution, on par with the 17th century invention of calculus, which he believes is already underway.
- Is Google Jumping the Shark? (Seth Godin) — Public companies almost inevitably seek to grow profits faster than expected, which means beyond the organic growth that comes from doing what made them great in the first place. In order to gain that profit, it’s typical to hire people and reward them for measuring and increasing profits, even at the expense of what the company originally set out to do. Eloquent redux.
- textteaser — open source text summarisation algorithm.
- Clipping Magic — Instantly create masks, cutouts, and clipping paths online.
Neuromancer Game, Ray Ozzie, Sentiment Analysis, and Open Science Prizes
- Case and Molly, a Game Inspired by Neuromancer (Greg Borenstein) — On reading Neuromancer today, this dynamic feels all too familiar. We constantly navigate the tension between the physical and the digital in a state of continuous partial attention. We try to walk down the street while sending text messages or looking up GPS directions. We mix focused work with a stream of instant message and social media conversations. We dive into the sudden and remote intimacy of seeing a family member’s face appear on FaceTime or Google Hangout. “Case and Molly” uses the mechanics and aesthetics of Neuromancer’s account of cyberspace/meatspace coordination to explore this dynamic.
- Rethinking Ray Ozzie — an inescapable conclusion: Ray Ozzie was right. And Microsoft’s senior leadership did not listen, certainly not at the time, and perhaps not until it was too late. Hear, hear!
- Recursive Deep Models for Semantic Compositionality
Over a Sentiment Treebank (PDF) — apparently it nails sentiment analysis, and will be “open sourced”. At least, according to this GigaOm piece, which also explains how it works.
- PLoS ASAP Award Finalists Announced — with pointers to interviews with the finalists, doing open access good work like disambiguating species names and doing open source drug discovery.
Google Play Services, Self-Signed Kernels, Visualising Scientific Papers, and New Microcontroller
- How Google’s Defragging Android (Ars Technica) — Android’s becoming a pudgy microkernel for the Google Play Services layer that’s in userland, closed source, and a way to bypass carriers’ lag for upgrades.
- Booting a Self-Signed Linux Kernel (Greg Kroah-Hartman) — procedures for how to boot a self-signed Linux kernel on a platform so that you do not have to rely on any external signing authority.
- Paperscape — A map of scientific papers from the arXiv.
- Trinket — Adafruit’s latest microcontroller board. Small but perfectly formed.
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!)