Archive for publishing fees

can you spare a dime? [or rather 113,900?]

Posted in Books, pictures, Travel, University life with tags , , , , , , , , , on December 7, 2020 by xi'an

Just read the announcement in Nature of 24 November that

Publisher Springer Nature has announced how scientists can make their papers in its most selective titles free to read as soon as they are published.

which is presented as a great advance to make scientific papers available for all to read. The catch is that there is no free lunch, obviously, as the author(s) have to pay Springer a 1,514,324.68 krónur charge for immediate open access! The Nature article does mention the issue obviously, as this is such a huge amount of money that it makes publishing under such conditions inaccessible for all academics but those with sufficient funding grants. It also mentions an alternate scheme contemplated by some Nature outlets to introduce “a non-refundable fee of €2,190 to cover an editorial assessment and the peer-review process.” None of the fee going to reviewers, apparently. This “evolution” (?!) is driven by the EU Plan S for making scientific publications available to all, but it even more crucially calls for a radical reassessment of publishing policies for research that is publicly funded and publicly reviewed, then paid again by publicly funded libraries and institutions. Even more radical than India’s push for `One nation, one subscription’.

Bayesian Inference, at £1400 per chapter…

Posted in Books, Statistics, University life with tags , , , , , on June 1, 2019 by xi'an

Another unsolicited email (“This is a friendly reminder that….”) from a UK operator called IntechOpen about publishing a chapter in an Open Access book about Bayesian Inference. And edited by Tang Niansheng. As detailed on the publisher page

“The aim of this book is to introduce the newly developed Bayesian methods, including Bayesian variable selection (e.g., fixed-dimensional data analysis and high/ultrahigh dimensional data analysis), Bayesian influence analysis (e.g., case deletion method and local influence analysis), Bayesian estimation and clustering methods (e.g., fixed dimensional data, high/ultrahigh dimensional data analysis, Bayesian network, and Bayesian clustering for big data), Bayesian hypothesis test including discrete and continuous random variables, variational Bayesian analysis and Bayesian clinical trials including design and dose-finding algorithm”

which is neither off the mark nor particularly innovative, as Bayesian (hand?)books go. With the slight impediment of a £1400 fee per chapter. Even at the current exchange rate, this is far from “free of charge” (which only applies to the book being “free to download, read and share”. (Given the on-going upheavals of UK politics, it may soon become affordable, though!)