machine learning

How to solve the problem of too much information and not enough time.

Ever find yourself thinking how much better your work could be if you just had time to read more of the information that’s out there? Even then, not everything we might save with the best intention of reading later is relevant or useful. And if that rare oasis of time does open up, skim-reading is probably the most common and practical way of processing several articles to find what’s useful. In fact, as a way of digesting large volumes of information, skim reading is actively [...]

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How reviewers can use AI right now to make peer review easier

The academic peer review process has come under a great deal of scrutiny recently. The various merits and drawbacks of anonymous and double-blind review vs. open and public review have been discussed and debated on academic forums, in conferences and on Twitter. Leaving aside claims that the ‘Blockchain’ provides a panacea for resolving issues such as trust, bias, and academic misconduct in the peer review process, how can technology assist with the mechanics of actually reviewing papers for publication? Academics [...]

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