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"As we get more data, we can fit more model. But at some point we become so overwhelmed by data that, for computational reasons, we can barely do anything at all. Thus, the curve above could be thought of as the product of two curves: a steadily increasing curve showing the statistical ability to fit more complex models with more data, and a steadily decreasing curve showing the computational feasibility of doing so."

"Someone points me to this report from Tilburg University on disgraced psychology researcher Diederik Stapel. The reports includes bits like this: When the fraud was first discovered, limiting the harm it caused for the victims was a matter of urgency. This was particularly the case for Mr Stapel's former PhD students and postdoctoral researchers . . . However, the Committees were of the opinion that the main bulk of the work had not yet even started. . . . Journal publications can often leave traces that reach far into and even beyond scientific disciplines. The self-cleansing character of science calls for fraudulent publications to be withdrawn and no longer to proliferate within the literature. In addition, based on their initial impressions, the Committees believed that there were other serious issues within Mr Stapel's publications . . . This brought into the spotlight a research culture in which this sloppy science, alongside out-and-out fraud, was able to remain undetected for so long. . . . The scientific literature must be cleansed of everything that is fraudulent, especially if it involves the work of a leading academic. Sounds familiar? I think it also applies to recipients of the Founders Award from the American Statistical Association. There's more: The most important reason for seeking completeness in cleansing the scientific record is that science itself has a particular claim to the finding of truth. This is a cumulative process, characterized in empirical science, and especially in psychology, as an empirical cycle, a continuous process of alternating between the development of theories and empirical testing. . . . My first reaction was that all seems like overkill given how obvious the fraud is, but given what happened with comparable cases in the U.S., I suppose this "Powell doctrine" approach (overwhelming force) is probably the best way to go."

Can robots work as scientists? At first, this seems like a silly question. Computers are pervasive in science, and if you walk into a large university lab today, there's a good chance you'll find a fully fledged robot working alongside the lab-coat-wearing humans. Robots fill test tubes, make DNA microarrays, participate in archaeological digs, and survey the oceans. There are entire branches of science-climate modeling and genomics, for example-that wouldn't exist without powerful microprocessors. Machines even play an integral part in abstract fields of discovery. In experimental mathematics, humans rely on computers to inspire new lines of thinking and investigate hypotheses. In 1976, mathematicians used computers to prove the four-color theorem, and machines have since been used in several other proofs.

Allison sez, "Michael Geist provides some commentary on yesterday's announcement by Association of Universities and Colleges of Canada and Access Copyright. His conclusion: 'For those that sign the model license, the new AUCC - Access Copyright deal is simply more of the same: AUCC and its institutions pass along copyright costs to students, Access Copyright gets millions in revenues despite ongoing questions about its repertoire (with thousands used to lobby against education copyright reforms and most of the money going to foreign collectives and publishers, not authors), and the potential for digitally-oriented changes within Canadian higher education heading back to the back burner.'"

FOR the past decade or so, generals commanding the world's most advanced armies have been able to rely on accurate forecasts of the outcomes of conventional battles. Given data on weather and terrain, and the combatants' numbers, weaponry, positions, training and level of morale, computer programs such as the Tactical Numerical Deterministic Model, designed by the Dupuy Institute in Washington, DC, can predict who will win, how quickly and with how many casualties.

For those of you who don't know, the Raspberry Pi is a "credit-card sized computer that plugs into your TV and a keyboard."   While "underpowered" compared to full sized traditional computers, there are some ground-breaking distinctions.  The Raspberry Pi Model B comes as a small computer motherboard with RCA video, audio, HDMI, LAN, two USB connections, and a small USB micro power connector on board - all for just $35.1

The aim of the Askemos project is to enable reliable and justiciable data processing, with the goal of producing "Software that can last 200 years." The first implementations of an Askemos peer can be obtained from ball.askemos.org. The Askemos web site itself is served from the Askemos/BALL development network. Follow here for more details. Note that Askemos concerns the abstract specification exclusively; including data formats, protocols, service interfaces etc. - not the actual implementations. Askemos combines incorruptible privilege delegation and non-repudiable replication of communicating processes into a trustworthy network. Physical machines under control of their operators execute applications processes under permanent multilateral audit. The network's honest majority of hosts provides users with exclusive control, and thus real ownership of processes. Askemos models a kind of "virtual constitutional state" where physical hosts bear witness to the interactions of virtual agents (akin to citizens). Self verifying identifiers can confirm that original documents have not beentampered with. The real potential for using Askemos is for identity and time stamp services, informationmanagement in public administration and libraries attaching metadata and archives, with the goal of establishing robust systems that can endure for centuries. German tax law, for instance, has storage requirements, which makes Askemos interesting even for private, individual use. Also Activist groups, non-profits and people who desire privacy and reliability in a chaotic and unpredictable world have much to gain from this software.

London, UK, June 16 and 17: Open IoT Assembly: "In 2011 Pachube published this attempt at a Bill of Rights for the Internet of Things. Data ownership will continue to be one of the defining issues of this decade. As the Internet of Things matures, clear lines will be drawn as companies bring products and services to market. Business models will be built on one of two philosophies:       *    Controlling a customer's access to their data and limiting its use to a single service. Profiting through vendor lock-in and switching costs/hassle.     *    Maximizing the value that is built on top of data and constantly innovating. Building a product that customers choose based on its own merits.

interesting - bet law enforcement uses it to reverse engineer energy high spots - possible labs or growing dens

In On The Brink we discuss the past, present and future of connectivity with a mix of people including David Rowan, chief editor of Wired UK; Caterina Fake, founder of Flickr; and Eric Wahlforss, the co-founder of Soundcloud. Each of the interviewees discusses the emerging opportunities being enabled by technology as we enter the Networked Society. Concepts such as borderless opportunities and creativity, new open business models, and today's 'dumb society' are brought up and discussed.

There's a new adventure video capture company in town, and both Zeyez and GoPro would have good reason to be afraid. You may not have heard of Pivothead -- the company has had a remarkably quiet push to market over the last few months -- but the video recording eyewear startup could very well become a household name after its first products hit the market this April for $349. Aurora, Durango, Moab and Recon may offer distinct exterior designs, but they're virtually identical under the hood. Each model includes an eight-megapixel Sony sensor (that reportedly captures higher quality images than the iPhone 4S cam), a four-element glass lens, 8GB of built-in storage, a 440mAh battery (with about an hour of shooting time) and three video modes: 1080/30p, 720/60p and 720/30p. We had a chance to go hands-on with Pivothead earlier today, and took the glasses for a spin on the streets of New York City. You'll find that sample video, along with our impressions, just past the break.

From disrupting the peer-reviewed journal publishing tradition to utilizing a dispersed model to test code, the academy has been trying out new ways of innovating an overburdened scholarly apparatus using technology. One of the latest areas to see this sort of experimentation is that of IP, or intellectual property. Marblar, a startup launched by three British PhD students, is hoping to successfully crowdsource the resurrection of "dormant" IP, to flatten and widen the process of tech transfer. A major British venture capital firm, IP Group, has invested about $600,000 in the startup.

After reading your recent post, I thought you might find this interesting - especially the scanned interview that is included at the bottom of the posting. It's an old OMNI interview with Walter Stewart that was the first thing I read (at a young and impressionable age ;) about the prevalence of errors, fraud and cheating in science, the institutional barriers to tackling it, the often high personal costs to whistleblowers, the difficulty of accessing scientific data to repeat published analyses, and the surprisingly negative attitude towards criticism within scientific communities. Highly recommended entertaining reading - with some good examples of scientific investigations into implausible effects. The post itself contains the info I once dug up about what happened to him later - he seems like an interesting and very determined guy: when the NIH tried to stop him from investigating scientific errors and fraud he went on a hunger strike.