Empowering Research Discovery: Transformative AI Technologies in Scholarly Communication

We are thrilled to announce our Researchers’ Series Special Topics 2023 in November. This symposium brings together three experts to explore the transformative power of AI in research discovery and scholarly communication.

Talks at a Glance

Search Engine and Large Language Models – Can they truly change the game?

Academic search engines are racing to incorporate the latest advancements brought about by Large Language models (LLMs) in terms of their ability to understand queries, extract information and directly generate answers. The first movers in this space were startup and challengers such as Elicit, Consensus.AI, Scite assistant, Scispace but they have recently been joined by established academic search engine provider like Elsevier’s Scopus and Digital Science’s Dimensions joining the fray with more to come.

On 14 Nov, join Mr. Aaron Tay, Data Services Lead from Singapore Management University Libraries, as he shares his experience testing and using these tools and his best guess on how these tools might develop in the future and their impact on research writing in the future.

Saving Time and Sanity: Using active learning for systematic reviews and meta-analyses

Screening thousands of research papers for a systematic review or meta-analysis can be overwhelming. The reality is that there simply isn’t enough time to read every single article.

On 15 Nov, join Prof. Rens van de Schoot as he introduces ASReview, a powerful free and open-source software for systematic reviewing, developed by his research team from Utrecht University. Rens will explain how active learning, a machine learning technique, can accelerate the step of manual screening process by saving up to 95% (!) of screening time.

Generative AI for Translational Scholarly Communication

Many valuable insights embedded in scientific publications are siloed and rarely translated into results that can directly benefit humans. These research-to-practice gaps impede the diffusion of innovation, undermine evidence-based decision making, and contribute to the disconnect between science and the public.

In the talk on 22 Nov, Dr. Lucy Lu Wang from the University of Washington will uncover the potential of Generative AI in improving scholarly communication, making research more accessible through short summaries and engaging visuals that enhance understanding and captivate a wide range of readers.

Online via Zoom

The talks will be conducted online via Zoom and all HKUST staff and students are welcome to join. They consist of speakers’ presentations as well as discussion and Q&A.

Join us for this exciting symposium as we explore new ways to unlock research potential through transformative AI technologies! For enquiry, contact Library Research Support at lbrs@ust.hk.

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