After all this hardware was installed, an even larger problem was tuning the AGS. In 1988, when we accelerated polarized protons to 22 GeV, we needed 7 weeks of exclusive use of the AGS; this was difficult and expensive. Once a week, Nicholas Samios, Brookhaven’s Director, would visit the AGS Control Room to politely ask how long the tuning wouldcontinue and to note that it was costing $1 Million a week. Moreover, it was soon clear that, except for Larry Ratner (then at Brookhaven) and me, no one could tune through these 45 resonances; thus, for some weeks, Larry and I worked 12-hourshifts 7-days each week. After 5 weeks Larry collapsed. While I was younger than Larry, I thought it unwise to try to work 24-hour shifts every day. Thus, I asked our Postdoc, Thomas Roser, who until then had worked mostly on polarized targets and scattering experiments, if he wanted to learn accelerator physics in a hands-on way for 12 hours every day. Apparently, he learned well, and now leads Brookhaven’s Collider-Accelerator Division.
An article in the current edition of the Economist describes Alfred Marshall’s original observation of geographic clusters of activities. They describe four main logics for clustering:
First, some may depend on natural resources, such as a coalfield or a harbour. Second, a concentration of firms creates a pool of specialised labour that benefits both workers and employers: the former are likely to find jobs and the latter are likely to find staff. Third, subsidiary trades spring up to supply specialised inputs. Fourth, ideas spill over from one firm to the next, as Marshall observed.
However, there are also costs to being in a cluster such as higher rent or transportation costs associated with distances to customers or suppliers. The burst of communications and computing power should make it easier since natural resources are less important and workers can live farther away from their offices.
It hasn’t worked this way. Pools of human capital continue to drive clustering as people prefer to work near where they live. Very small distances can make a big difference. The article goes on to describe clusters within clusters in the Bay area for specialized knowledge.
The patent system is “a real chaos”. Its faults were laid bare yesterday in an extensive New York Times article, which quickly reached the “most emailed list” (The Patent, Used as a Sword; and see Melissa Schilling’s review). But the same article also hedged by reminding us “patents are vitally important to protecting intellectual property”. But is intellectual property really essential for innovation? For an answer, look just a little past commercial software and you will see vast open collaboration without patents or copyright. Wikipedia, an open initiative, answers many of our questions. Open source software such as Linux and Android power most commercial websites and mobile devices, respectively. In myriad forums, mailing lists and online communities, users contribute reviews, provide solutions, and share tips with others. Science has been progressing by enlisting thousands of volunteers to classify celestial objects and decipher planetary images. Innovation without patents is real. Researchers estimate that open collaboration and user innovation bring more innovation than than the patented kind. Our legal and commercial system can do more to encourage it.
A great New York Times article this morning (link below) details ways in which the patent system gets used as both an offensive and defensive weapon, with billions of dollars of collateral damage to start-ups, consumers (see the “patent tax”), and innovation in general. The victim in the opening Vignette (Vlingo, a voice-recognition software start-up) might have been saved by a simple change in the rules: make the losers of patent lawsuits pay the legal costs of the winner. It turns out that it’s rather easy to kill small firms (or force them to sell to you) by launching a patent lawsuit against them that bleeds them dry with legal fees. You don’t have to win — you just have to force them to fight until they no longer have any money. Vlingo ultimately won the patent lawsuit that had been filed by a much larger rival, but had to loot its own meager coffers to pay the legal fees of doing so. Vlingo slumped home with its patent lawsuit victory and shut its doors for good. If losers of such battles paid the legal fees of winners, such fights might both be less common, and less likely to be fatal.
The article also points out that software patents have proven particularly dangerous because they are prone to protecting vague claims like “a software algorithm for calculating online prices,” thereby granting the patent holder vast tracks of technological real estate. An interesting talk by Tilo Peters at the Strategic Management Society conference yesterday points to another useful tool for rationalizing some of this misuse of the patent system: Strategic disclosure. If, for example, you decided to publish a manifesto about all of the things you might do with software in the reasonable future (remember patents have a “usefulness” condition so you’re not allowed to claim something deemed non-feasible), you might be able to essentially proclaim that technological territory as unpatentable. It wouldn’t prevent competitors from developing in those areas, but it could keep them from patenting in those areas. In essence, it transforms a space in which property rights may be allocated into one in which property rights may not. I’ve left out some details but you get the idea.
Now it occurs to me that a fair amount of strategic disclosure in the smart phone space took place in the form of Star Trek episodes. I’m going to go look for references to prior art…
Alex Tabarrok’s pictorial commentary on patent policy, drawn on a napkin, posits that the current patent system is somewhat too strong and thereby decreases innovation (the link to his original post is below). I have to say, however, that I don’t think patent strength is the problem. The problem is that the growth in patent applications over the last two decades has vastly exceeded the growth in resources available to the patent office, resulting in 1) long delays between patent application and granting (which can render patents completely pointless in fast moving industries), and 2) inadequate ability to examine the patent applications for novelty, usefulness and non-obviousness. This lowers the value of good patents (because they aren’t granted quick enough or may be fallaciously challenged) and increases the likelihood of bad patents being granted. As a result, for many individuals and firms, the expected net gains from manipulating the patent system for the purposes of extortion (hostage taking, patent trolling) now exceeds the expected net gains from using the patent system to actually innovate.
It’s difficult to assess how patent strength affects innovation without first making sure that patents are being granted and used the way the system had originally intended.
Alex Tabarrok’s original post can be found here: http://marginalrevolution.com/marginalrevolution/2012/09/patent-theory-on-the-back-of-a-napkin.html?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+marginalrevolution%2Ffeed+%28Marginal+Revolution%29
The current issue of McKinsey Quarterly features an interesting article on firms crowd-sourcing strategy formulation. This is another way that technology may shake up the strategy field (See also Mike’s discussion of the MBA bubble). The article describes examples in a variety of companies. Some, like Wikimedia and Redhat aren’t much of a surprise given their open innovation focus. However, we should probably take notice when more traditional companies (like 3M, HCL Technologies, and Rite-Solutions) use social media in this way. For example, Rite-Solutions, a software provider for the US Navy, defense contractors and fire departments, created an internal market for strategic initiatives:
Would-be entrepreneurs at Rite-Solutions can launch “IPOs” by preparing an Expect-Us (rather than a prospectus)—a document that outlines the value creation potential of the new idea … Each new stock debuts at $10, and every employee gets $10,000 in play money to invest in the virtual idea market and thereby establish a personal intellectual portfolio Read the rest of this entry »
This online education thing seems to be picking up steam: Stanford Professors Daphne Koller & Andrew Ng Also Launching a Massive Online Learning Startup. The missing piece is still certification. Once that exists, bricks-and-mortar delivery of higher ed will face some nasty competition … and we’ve seen how people feel about BaM — just ask Best Buy, Borders, or Blockbuster.
Of course, retail shopping is not the same thing as getting educated. There are similarities. For example, BaM is expensive and inconvenient in both cases. Also, in both cases, the younger generations are extremely comfortable with the online technology. Yet, it’s the differences that should be most concerning. Education-on-demand has the potential to solve many problems. This feature will be highly appealing to most potential students. Even more threatening to the traditional model: the price of online education taught by professors from top schools is not just lower by the savings in BaM distribution costs — it’s zero. Think about that – zero.
Most of the colleagues with whom I discuss these developments argue that there is simply no substitute for the real-time, in-person, interactions available in the traditional classroom setting. They believe that this will continue to motivate students to pay a premium for the experience. I wonder. It is not obvious to me that students get some special utility premium from classroom interactions. Ask yourself this: do your students consider “cold-calling” a welcome feature of sitting in your class? In my judgment, most students would actually pay to avoid it.
Besides the assessment problem, there is another hurdle for the online education model. Clearly, no professor can answer the specific questions of 100,000 students. The online institutions are going to have to find a way to staff some form of virtual office hours in which students can get answers to their questions. My sense is that there is plenty of well-trained talent in India to staff office hours for these courses. Heck, in ten years, online course providers will be able to pick up highly experienced, unemployed domestic PhDs to man the chat rooms on the cheap.