Navigating the Digital Frontier: How Emerging Tech Trends Are Shaping Scholarly Publishing
A focus on four rising technology trends and the challenges and opportunities they might bring to scholarly communications.
Hong Zhou leads the Intelligent Services Group in Wiley Partner Solutions, which designs and develops award-winning products/services that leverage advanced AI, big data, and cloud technologies to modernize publishing workflow, enhance content & audience discovery and monetization, and help publishers move from content provider to knowledge provider.
His personal research passion is supporting publishers’ success in their transition to Open Access and Open Science and helping global researchers know more, do more, and achieve more in the era of digital transformation. Before joining Wiley/Atypon in January 2017, Hong applied machine learning algorithms for the insurance industry as the CTO of Digital Fineprint, served as a senior software engineer at Schlumberger, and developed racing games for the British video game developer Eutechnyx. Hong holds a PhD in 3D modeling with artificial intelligence from Aberystwyth University in Wales, an MBA in Digital Transformation & Strategy from the University of Oxford, a Master’s degree in computer science from The University of Sheffield, and certifications in AI and Cloud from Stanford University and Google. As well as serving as a distinguished expert in the National Key Laboratory of Knowledge Mining and Service for Medical Journals in China, Hong is widely published on computer science and AI topics and presents regularly at prominent industry events.
A focus on four rising technology trends and the challenges and opportunities they might bring to scholarly communications.
As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
Leading into Peer Review Week 2024, we ask the Chefs: What is, or would be, the most valuable innovation in peer review for your community?
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
In this post – the first of two discussing artificial intelligence and information discovery – we explore the evolution of information discovery, its role in the research journey, and how it can be applied to help researchers and publishers alike.
Separately, both open research and AI are considered disrupters, causes of disorder in the normal continuance of scholarly publishing. But approaching them in a synchronized way can offer more productivity gains and efficiencies than taking them on individually.
What is the single most pressing issue for the future of peer review in scholarly publishing? In advance of Peer Review Week, we asked the Chefs.
To identify both benefits and risks of generative AI for our industry, we tested ChatGPT and Google Bard for authoring, for submission and reviews, for publishing, and for discovery and dissemination.
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.
Digital transformation can revolutionize the world, turning it into an inclusive place for people with and without disabilities, with accessibility powered by artificial intelligence.
Digital transformation in submission and peer review offers improvements for publications and a better experience for researchers and journal staff.
In today’s guest post, Hong Zhou and Megan Prosser of Atypon explore how new technology and new ideas — specifically around AI, Big Data, and Cloud computing – can advance our industry.
A report from the 9th annual BioASQ workshop discussing the ongoing development and future of AI-based tools.
A look at BioASQ — an annual competition to develop AI systems to help drive medical progress.