The evolution of plain language summaries: Embracing new opportunities & innovation

What the event covers

Are you aware of the latest research and recommendations for Plain Language Summaries?

Do you know how to use generative AI in PLS development and evaluate the effectiveness of plain language?

Plain Language Summaries are now an accepted and valued asset in the medical publications community, with a wealth of research supporting their reach and impact. However, the PLS landscape continues to change with expanded guidance, a wider selection of plain language publications, and the introduction of generative AI.

This talk is aimed at publication professionals and researchers in the medicine and health field, addressing current and most frequently asked questions about PLS. As the publication of company-sponsored medical research adapts to new trends and technology, it is important to understand how PLS has evolved to become an essential tool for communicating research to broader audiences.

Watch three experienced publishing professionals from Taylor & Francis and gain insight into the latest evidence-based research on PLS, the appropriate use of generative AI for their development, and best practices for making PLS accessible and discoverable for their intended audiences. 

About the speaker

Kelly Soldavin is a Senior Editor for Taylor & Francis and manages a portfolio of Medicine & Health original research journals, including Current Medical Research & Opinion and Journal of Medical Economics. She is an advocate for, and has a special interest in, digital features and media, specifically plain language summaries; current trends in open research and scientific publishing; and ethical and transparent publishing practices.

Rachel Jenkins is Head of Plain Language Summaries at Taylor & Francis, where she is dedicated to advancing accessibility and inclusivity in scientific communication. She began her career in publishing at Future Science Group as a Commissioning Editor for Future Oncology, overseeing the journal’s publication pipeline. Throughout her time at Future Science Group, Rachel held various roles managing multi-media journal content and digital hubs in oncology and neurology before transitioning to Head of Plain Language Summaries, which she now continues at Taylor & Francis.

Paolo Lombardi is Director of AI Innovation at Taylor & Francis. A Fulbright Fellow, he holds a dual PhD in Artificial Intelligence (Computer Vision) from the University of Pavia and Paris-Sud University. Paolo began coding at age seven and developed his first neural network in 1995. He worked as an AI researcher with universities and applied science institutions, including the European Commission, until 2010. Subsequently, he co-founded two research-driven startups and the digital startup accelerator Techpeaks. From 2015 to 2022, Paolo specialized in innovation consulting for corporations and government agencies throughout Europe before joining Taylor & Francis.

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