Nature ha sacado una revista sobre ‘machine learning’ y los investigadores están boicoteándola: quieren compartirlo gratis

[From Google translate] Nature has published a journal about 'machine learning' and researchers are boycotting it: they want to share it for free.

A few weeks ago, Nature announced that it would launch a new e-learning magazine in early 2019. Until recently, this was good news: Nature is one of the world's most prestigious academic publishing groups and its journals are often regarded socially as the'gold standard' of science. The arrival of one of his magazines in a research field was the equivalent of the arrival of a high-speed train in a provincial city. Researchers often see it as a sign of prestige, relevance and future. It's been that way with almost all 53 magazines they've released: except now that they've punctured bone. The machine learning community does not want paid magazines. "Why would we want it?"asks Neil Lawrence in The Guardian. "What could lead authors and readers to a for-profit subscription magazine when we already have an open model for sharing our ideas?" Lawrence is right that academic publishers only have one ace up their sleeve: his brand. Nature, Science, PNAS or NEJM serve as markers: science has become so specialized that it is difficult to determine whether something is difficult or not. Especially when we talk about fields that we don't have a perfect command of. They are not always good signposts and have a tendency towards eye-catching and spectacular study, but the truth is that (today) they still mark the information agenda every week. But beyond that. As far as their usefulness to researchers is concerned, they contribute little. And that was seen by machine learning experts almost 20 years ago. In 2001, the editorial team of the Machine Learning Journal resigned en bloc from the journal to create a new free, open-access journal, the Journal of Machine Learning Research.