Scopus AI is an advanced generative AI model trained on a vast corpus of over 90 million documents from the Scopus database, specifically designed for enhancing scientific research search and discovery processes to optimize researchers' retrieval efficiency. It empowers researchers to engage in progressive exploration and expansion of scientific problems through natural language question-and-answer interactions, thereby facilitating scientific research endeavors and supporting educational initiatives. This lecture will delve into the following aspects: 1) The crucial significance of accurate sources when utilizing AI in research; 2) Additional applications and possibilities offered by Scopus AI within a research context; 3) Leveraging Scopus AI and data indicators to assist in funding award applications. We cordially invite everyone to attend this session!

Speaker: Joan Yin

Introduction: Account Manager, Research Intelligence, Elsevier, graduated from The University of Sheffield in Information Systems Management. Before joining Elsevier, she worked in Springer Nature, Clarivate. She is experienced with training in research and bibliometrics.

Time: Mar. 15th, 2024, 15:30~16:30, Friday

Location: Library Multi-function Room,1stFloor

Mode: Online live

Online Link：https://zju.webex.com/join/InformationLiteracyLecture

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Language: English

Participants: All

For videos of past lectures and more lectures information, please visit the library’s website at the following link: https://lib.intl.zju.edu.cn/en/content/872567

Library

Mar. 13th, 2024