Amateur Hackers of Astronomy
eaglemoon writes "I have often wondered if Hackers and the Hacker culture is unique to software or can it be extended to other domains? This article in the NY Review of Books examines how amateurs are performing as well as professionals in the field of astronomy. The clash between the Baconian view of science and the Cartesian perspective is very interesting to reflect on and should be compared with community based software development and the traditional cathedrals built by firms." And it's from Freeman Dyson, always worth reading.
And, of course, there's the knowledge issue. Genetic engineering, or any other kind of serious molecular biology, is hard -- we're not going to be seeing Gene Splicing In A Nutshell on the shelves any time soon. As a Comp. Bio. student, one of the few in the program with a serious background in both CS and biology, I see the problems that the students (and, for that matter, the professors) who are strictly from the CS side have in understanding the biology. These are smart, hard-working people, but the fact is it takes years of experience to really "get" molecular biology in any useful fashion.
(Note that I'm not denigrating CS -- a bio PhD and a CS PhD are about equally well-educated, IMO. But at the amateur level, it's a hell of a lot easier to get started hacking code than hacking genes.)
In the long run, I think you're right. The knowledge and the equipment are out there, and will become steadily more available, and a generation or two down the line we will almost certainly see teenagers pounding out real viruses in their parents' basements (and won't that be fun) -- hopefully, those same teenagers, once they're grown up a bit, will be the ones who go on to make real and lasting contributions to biology and medicine, just like teenage hackers often grow up to be the best programmers and CS researchers. But right now we're at the "mainframe" stage of biology, where the genome -- like the computer a couple of generations ago -- is a rather arcane piece of machinery with high barriers to entry.
The correlation between ignorance of statistics and using "correlation is not causation" as an argument is close to 1.