About
Join us for a webinar that explores how gen AI can become an integral part of a research workflow. During this session we will share how librarians can incorporate gen AI tools into an information literacy program to accelerate the discovery process. You will also learn about Emerging themes, the latest Scopus AI feature that automatically identifies consistent, rising, and novel trends, helping researchers uncover opportunities and potential research topics.

The webinar will address real-world academic GenAI challenges by exploring: 

  • Integrating Gen AI into Information Literacy Programs: Discover how to incorporate generative AI into your overall information literacy strategy to empower your research community.

  • Crafting Effective Gen AI Prompts: Learn the art of creating precise and impactful AI prompts to achieve optimal results in your research queries.

  • Enhancing Research Discovery with Gen AI: Uncover innovative methods to use generative AI as a vital component of your research discovery process.

  • Time-Saving Efficiency: Emerging Themes automates trend identification and analysis, reduces manual literature review time, and provides quick, comprehensive field overviews.

  • Cutting-Edge Insight Generation: Emerging Themes identifies established, rising, and breakthrough themes, and suggests novel research directions.

    • Using the latest technology to stay ahead of emerging trends in research is crucial in today’s fast-paced environment. This webinar will show you how Gen AI and Emerging Themes, the latest Scopus AI feature, empowers you to explore new directions and identify potentially identifying career-defining opportunities as a researcher.
    Presenters
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    Haoyong Lan
    Engineering Librarian, Carnegie Mellon University Libraries
    Haoyong Lan is the engineering librarian at Carnegie Mellon University Libraries, where he provides library instruction, research assistance, data support, and collection development to the students, faculty, and staff. He received a Bachelor's degree in Electrical Engineering and a Master's degree in Library and Information Science both from the University of Illinois at Urbana-Champaign. His research interests include explainable artificial intelligence, engineering research competency, scientometrics, digital library, and information retrieval.
    1730987072-02e6fe50f746d744
    Dr. Adrian Raudaschl
    Principal Product Manager, Elsevier
    Dr. Adrian Raudaschl, a former medical professional, transitioned to the realm of product management with a resolute goal: to propel academic research forward. As a seasoned senior product manager based in London, Adrian thrives at the intersection of search technology, AI, and large language models. His most recent project is Scopus AI, a service that combines vector search with large language models to empower researchers in discovering new topic areas.
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