My rail is against two things, UberScale Science and the loss/limitation/coopting of Government Funding of Science.
While the free market has some magic to it, there are times when an entity charged with improvement of the commons (Government?) can add a qualitative and important difference to the pursuit of knowledge (Scientific or otherwise). I think today that there may be plenty of Government funding for science if so much of it wasn't one flavor of Pork or another.
Pamela -I think there are *many* valid arguments up one side and down the other of this topic, just as the (false?) dichotomy between Art and Craft.I also think that while there are arguments for the deep pockets of government, there are also arguments against it. I can't find a transcript yet but I remember Freeman Dyson giving one of his (anti) Big Science talks at LANL decades ago. It moved me, especially since he was NOT preaching to his choir at LANL. Actually, he had many acolytes for Tolstoyan vs Napoleonic Science (as I remember him describing the difference in funding) at LANL but they were individual (often young) researchers trying to pursue one dream or another, not the rank and file of mid-career scientists cum engineers/craftsmen nor especially the administration.I also agree that the advent of computers, for all the wonderful things they have done (I came to LANL to build computerized control systems for the Proton storage ring and went on to eventually build VR systems to support scientific investigation into measured as well as simulated phenomena) have also changed the game in some not so good ways. They've changed the way people (including practicing scientists) think about science, sometimes for the better, often for the worse.My daughter is a Virologist who fights *every day* with her boss/mentor and almost all of the other staff at her institution to stay on track with "science" while they are all listening to the siren song of drug discovery... she is working on characterizing many things regarding the mechanisms of viral invasion of cells (Dingue and West Nile) while her bosses and peers are trying to divert her work (they have already diverted their own) to simple drug discovery... because they will get both rich and famous from that, but will *rarely* advance the understanding or the science a single whit. Oh well!- SteveMerle, I missed your comment and you are certainly somebody to me!!!! P.On Mar 3, 2014, at 11:12 PM, Merle Lefkoff <merlelefk...@gmail.com <mailto:merlelefk...@gmail.com>> wrote:I commented, and I'm utterly somebody, dear Pamela.On Mon, Mar 3, 2014 at 7:20 AM, Pamela McCorduck <pam...@well.com <mailto:pam...@well.com>> wrote:Utterly nobody in FRIAM thought my question about the shift from government led innovation to private sector led innovation was interesting enough to comment on (even to acknowledge) but I'm going to forward this piece from Dave Farber's list which also addresses the issue and ask you again whether you think this shift will have consequences.*From:*John Day <jeanj...@comcast.net <mailto:jeanj...@comcast.net>> *Sent:*Sun Mar 02 21:13:32 EST 2014 *To:*d...@farber.net <mailto:d...@farber.net>,sa...@dsalex.org <mailto:sa...@dsalex.org> *Cc:*da...@dslprime.com <mailto:da...@dslprime.com>,d...@bu.edu <mailto:d...@bu.edu> *Subject:*Re: [IP] Re Read re Losing a Generation of Scientists Scott, You have hit the nail on the head. We are not doing fundamental research. The sciences are turning into craft. Lee Smolin first brought this up about physics in the last 5 chapters of his book, "The Trouble with Physics." In CS, we have this disease in spades and partly for the reasons you outlined below, the pursuit of the dollar. I also think to some degree what I have come to characterize by paraphrasing Arthur C. Clark, 'Any sufficiently advanced craft is indistinguishable from science.' We are so dazzled by the products of Moore's Law that we don't see that what we are doing is craft. The trouble with craft is that it stagnates. The classic example is Chinese "science" prior to Western contact. See Needham's "Science and Civilization in China." To some degree, Needham ends up arguing (and most scholars agree) that 'science' in pre-Qing China was more technique or craft. There was no theory, no abstraction, no attempt at a theory that holds it all together. (By their own admission, this problem still plagues China and India. There are the exceptions, but in general it is a recognized problem.) By late Ming (17thC), it had pretty much stagnated and they were losing knowledge. Needham says that it is because merchants (capitalists) were at the bottom of the heap. The government power structure controlled everything. I also believe it is because there was no Euclid. There was no example of an axiomatic system. The Holy Grail of a scientistis to do to his field what Euclid did to geometry. Interestingly Heilbrun points out in his book on geometry bookthat the Greeks were the only ones to develop the concept of proof. Other civilizations have mathematics, they have recipes, algorithms; but not proof. Proof is at the root of building theory. Theory gives the ideas cohesion, shows how they relate in ways you didn't expect, and shows you where the gaps in your knowledge are. The quest for theory is more important to avoiding stagnation as the pull of capitalism. Needham didn't live to see it. But we now have the example of how the entrepreneurial drive leads to stagnation. That drive is fine for exploiting *within* a paradigm, but it won't get you to the next one. And we have seen the example of that as well. And we are seeing the same stagnation in CS. One sees the same the same papers on about a 5 years cycle. The "time constants" have changed but they are the same papers. Early CS was much more scientific. We went about things much more methodically, we were more concerned with methodically understanding the fundamentals than just building something that worked. (BTW to your comment: We *did* do a lot of RJE on the early ARPANET. We had many scientific users submittingjobs on particle physics, economics, weather simulation, etc. However, we never saw it as the future. We had much biggerideas in mind, for distributed computing (ask Dave). It is really depressing that 40 years later, things really haven't moved anywhere. The hardware is 10s of thousands times faster and bigger. You are right. We have re-labeled RJE, cloud computing, and never gotten past the 3270/Mainframe days.) You are right. We do have to get back to this. And there I am afraid it gets disheartening. We have 30 years of conditioning the field toward everything else but. I don't see many who even when they say we need to do it, know how to do it. We have selected against the ability for decades. I am even finding that CS students (and professors) have trouble with abstraction. For a field that one could say was founded on abstraction, this is really scary. Take care, John Day============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com -- Merle Lefkoff, Ph.D. President, Center for Emergent Diplomacy Santa Fe, New Mexico, USA me...@emergentdiplomacy.org <mailto:me...@emergentdiplomacy.org> mobile: (303) 859-5609 skype: merlelefkoff ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribehttp://redfish.com/mailman/listinfo/friam_redfish.com============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
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