Research increasingly shows how gender affects the peer-review process, and how it doesn’t. For example, some studies indicate that editor gender appears to have some influence over gender diversity among peer reviewers, but gender of authors, editors and reviewers may not necessarily influence which papers are accepted or rejected.
In this blog, we have listed several tactics for how to increase the speed of journal publication from clear author instructions, efficient peer-review, effective staffing and more.
This spring has seen tremendous global change—from the COVID19 pandemic to protests around the world decrying systemic racism. With an initial urgent focus on medical studies, scholarly publishers have proven how indispensable they are in advancing and making available potentially life-saving information.
Every year at the Frankfurt Book Fair, there is a buzzword or phrase that continues to pop up on panels, in articles, and in conversations and meetings. In the past, we have seen ‘big data’ and ‘blockchain’ dominate the headlines, but this year’s buzz word (or acronym) was ‘AI,’ as publishers, information professionals, service providers, and the media debated how this technology can be used in the industry.
In recent years, publishers have begun to utilize advances in artificial intelligence (AI) and machine learning to significantly change their businesses for the better. Though some innovations, such as using an algorithm to predict if a book will be a bestseller, have gotten more news coverage, AI and machine learning have been incredibly useful to publishers to help process user data to better understand the marketplace, to improve peer review, to help with workflow, and even to create new products. Here are some of the most notable current trends we have observed:
