TechCrunch has an interesting guest post by Vivek Wadhwa  The VC, The Professor and The Valley of Death which talks about unlocking the huge commercial potential in academic research (emphasis mine). 

In 2007, U.S. universities performed $48.8 billion of research and filed 17,589 U.S. patent applications. In that same year universities received back revenues for licensing and royalties on patents of less than $2 billion. Those revenues include ongoing royalties from all of the research licensed over the past 40 years. The implication is clear. An astonishing amount of promising research is left in the lab.
As someone who spent almost 5 years getting a PhD in Electrical Engineering from Princeton University, I am going to have to politely disagree with the implication he is drawing. 

Let's look at what drives the typical Assistant Professor looking for tenure, and hence the typical graduate student. It is widely known that there is a sharp fall in "paper productivity" once an Assistant Professor lands that magical tenure and its associated unfirable-job-for-life, so if we understand the hungry Assistant Professor and the hungrier graduate student, we will have understood how the University research system works.   

In the commercial world, revenues and profits are what drive innovation, at least in normal non-bubble times. We are highly motivated at Zoho to innovate, because that is the lifeblood of our business. Yeah, I agree, very crass commercial, capitalist motive. In the academic world, that crass commercial motive is substituted with a noble quest for grant money, papers and ultimately, tenure. 

Once in a while some interesting work comes out of academic research, but by far the vast majority of work I have seen is of the "Minimum Publishable Unit" variety, as in "What is the smallest amount of stuff that will generate a publication?" An entire ecosystem exists, underwritten by taxpayer money, whose Darwinian imperative is publish or perish.

In engineering disciplines there is another fundamental, existential problem. One of the secrets they don't tell you until you enter graduate school is that most graduate students spend a lot of time looking to find "the problem" to solve. The quest is so desperate that you often invent fake problems to solve; one usually safe algorithm is to make trivial extensions to an existing paper, which itself made some trivial extension to some other trivial paper and cloth it all up in fancy mathematical language so the whole lot of it looks more impressive than it is. A lot of mathematics in engineering has become the equivalent of Sanskrit of the priestly class, designed as much to obfuscate as to elucidate.

Yet, in my entire time as an engineer in the commercial world, there never was a time where I was lacking in interesting problems to solve. At Zoho for example, there are numerous challenges around databases, distribution, web services, security and so on that you only realize exist when you start doing real stuff. This is an existential problem: you don't know what the real problems in engineering are until you do real stuff, or as in Paul Graham's words "Make What People Want". 

Bottom line? I am pretty sure the vast majority of that $48 billion is not going to generate a return. In fact $2 billion out of $48 billion sounds about right as the ratio of really valuable academic work to all the fluff that gets published. Of course, that is a crass, commercial way of seeing it.

Comments

Post Comment