The Immediate Practical Implication of the Houghton Report: Provide Green Open Access Now

Among the many important implications of Houghton et al’s (2009) timely and illuminating JISC analysis of the costs and benefits of providing free online access (“Open Access,” OA) to peer-reviewed scholarly and scientific journal articles one stands out as particularly compelling: It would yield a forty-fold benefit/cost ratio if the world’s peer-reviewed research were all self-archived by its authors so as to make it OA. There are many assumptions and estimates underlying Houghton et al’s modelling and analyses, but they are for the most part very reasonable and even conservative. This makes their strongest practical implication particularly striking: The 40-fold benefit/cost ratio of providing Green OA is an order of magnitude greater than all the other potential combinations of alternatives to the status quo analyzed and compared by Houghton et al. This outcome is all the more significant in light of the fact that self-archiving already rests entirely in the hands of the research community (researchers, their institutions and their funders), whereas OA publishing depends on the publishing community. Perhaps most remarkable is the fact that this outcome emerged from studies that approached the problem primarily from the standpoint of the economics of publication rather than the economics of research

The PostGutenberg Open Access Journal

Some think the most radical feature of post-Gutenberg journals will be the fact that they are digital and online, but that would be a much more modest development if their contents were to continue to be kept behind financial firewalls, with access denied to all who cannot or will not pay the tolls. This chapter will show how the optimal and inevitable outcome – for scientific and scholarly research, researchers, their institutions and funders, the vast research and development industry, and the society whose taxes support science and scholarship and for whose benefit the research is conducted – will be that all published research articles will be openly accessible online, free for all would-be users webwide

On Fodor on Darwin on Evolution

Jerry Fodor argues that Darwin was wrong about "natural selection" because (1) it is only a tautology rather than a scientific law that can support counterfactuals ("If X had happened, Y would have happened") and because (2) only minds can select. Hence Darwin's analogy with "artificial selection" by animal breeders was misleading and evolutionary explanation is nothing but post-hoc historical narrative. I argue that Darwin was right on all counts. Until Darwin's "tautology," it had been believed that either (a) God had created all organisms as they are, or (b) organisms had always been as they are. Darwin revealed instead that (c) organisms have heritable traits that evolved across time through random variation, with survival and reproduction in (changing) environments determining (mindlessly) which variants were successfully transmitted to the next generation. This not only provided the (true) alternative (c), but also the methodology for investigating which traits had been adaptive, how and why; it also led to the discovery of the genetic mechanism of the encoding, variation and evolution of heritable traits. Fodor also draws erroneous conclusions from the analogy between Darwinian evolution and Skinnerian reinforcement learning. Fodor’s skepticism about both evolution and learning may be motivated by an overgeneralization of Chomsky’s “poverty of the stimulus argument” -- from the origin of Universal Grammar (UG) to the origin of the “concepts” underlying word meaning, which, Fodor thinks, must be “endogenous,” rather than evolved or learned

Alan Turing and the “hard” and “easy” problem of cognition: doing and feeling

The "easy" problem of cognitive science is explaining how and why we can do what we can do. The "hard" problem is explaining how and why we feel. Turing's methodology for cognitive science (the Turing Test) is based on doing: Design a model that can do anything a human can do, indistinguishably from a human, to a human, and you have explained cognition. Searle has shown that the successful model cannot be solely computational. Sensory-motor robotic capacities are necessary to ground some, at least, of the model's words, in what the robot can do with the things in the world that the words are about. But even grounding is not enough to guarantee that -- nor to explain how and why -- the model feels (if it does). That problem is much harder to solve (and perhaps insoluble)

Applying Optimality Findings: Critique of Graham Taylor's Critique of RCUK Self-Archiving Mandate

Graham Taylor, director of educational, academic and professional publishing at the Publishers Association, criticises the Research Councils UK (RCUK) proposal to require that the author of every published article based on RCUK-funded research must “self-archive” a supplementary “open access” version on the web so it can be freely read and used by any researcher worldwide whose institution cannot afford the journal in which it was published. The purpose of the RCUK policy is to maximise the usage and impact of research. Taylor argues that it may have an adverse affect on some journals. This critique points out that there is no evidence from 15 years of open-access self-archiving that it has had any adverse affect on journals and a great deal of evidence that it enhances research impact

Open access: the complaint, the evidence and the verdict

First the complaint, then the evidence, then the verdict. The complaint is that researchers cannot afford to access all the articles they might use, and hence those articles do not get all the usage and impact they might. The evidence is that no institution can afford to subscribe to all the journals that their researchers might need to use1 and those articles that are made open access (by being deposited on the Web, free for all) are used and cited twice as much as those articles (in the very same journals and years) that are not.2 The verdict is that all researchers should deposit their articles on the Web, free for all—not necessarily that they should publish in open access journals, or that all journals should convert to open access publishing. (Open access is not the same thing as open access publishing: open access publishing is just one of the two roads to open access.) Fortunately, mandates requiring researchers to deposit (self-archive) their articles on the Web, free for all, are now being proposed by research funders in the UK and Europe, and they have already been adopted by three UK Research Councils as well as the Wellcome Trus

On "Open Access" Publishers Who Oppose Open Access Self-Archiving Mandates

The online age has made powerful new benefits for research possible, but these benefits entail a profound conflict of interest between (1) what is best for the research journal publishing industry and (2) what is best for research, researchers, universities, research institutions, research funders, the vast research and development (R&D) industry, and the tax-paying public that funds the research. What is at stake is (1) a hypothetical risk of potential future losses in subscription revenue for publishers versus (2) actual, ongoing losses in current research impact for researchers. How this conflict of interest will have to be resolved is already clear: Research publishing is a service industry; it will have to adapt to what is best for research, and not vice versa. And what is best for research is Open Access (OA), provided through research funders and universities mandating the OA self-archiving of all their researchers' peer-reviewed research output. The conventional (non-OA) publishing industry's first commitment is of course to what is best for its own business interests, rather than to what is best for research and researchers; hence it is lobbying vigorously against the many OA self-archiving mandates that are currently being adopted, recommended and petitioned for by the research community worldwide. But what is especially disappointing, if not deplorable, is when "OA" publishers take the very same stance against OA itself (by opposing OA self-archiving mandates) that non-OA publishers do. Conventional publisher opposition to OA will be viewed, historically, as having been a regrettable, counterproductive (and eventually countermanded) but comprehensible strategy, from a purely business standpoint. OA publisher opposition to OA, however, will be seen as having been self-deluded if not hypocritical. I close with a reply to Jan Velterop, of Springer's "Open Choice": Jan opposes Green OA self-archiving mandates, because they would provide OA without paying the publisher extra for it. But all publishing costs are currently being paid for already: via subscriptions. So opposition to Green OA self-archiving mandates by a hybrid Gold "Open Choice" Publisher sounds very much like wanting to have their cake and eat it too (even though that is precisely what they like to describe Green OA advocates as trying to do!)

Open Access Scientometrics and the UK Research Assessment Exercise

Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster