In the AI era, has the traditional scientific research workflow been challenged? How can one quickly get started with academic AI agents? Clarivate, a global leading professional information service provider, has launched the academic generative AI tool called Web of Science Research Assistant (RA for short), which provides robust support for every stage of the research process. It helps you rapidly make research discoveries from the trusted paper and citation data in the Web of Science Core Collection.

Currently, Web of Science RA covers research assistance functions such as multilingual retrieval, core literature positioning, key content extraction, visual correlation analysis, complex task guidance, research idea expansion, and Literature Review 2.0. The literature review function can intelligently decompose complex research topics into subfields, automatically match precise retrieval strategies, and generate structured reviews covering dimensions such as research field introductions, key findings, research gaps, conclusions, and potential hypotheses—empowering researchers to efficiently organize literature.

Additionally, this seminar will share the latest features of EndNote 2025 equipped with AI technology, including AI Key Takeaways for extracting paper highlights and direct citation from PDFs. These tools will significantly enhance the efficiency of literature reading and paper conceptualization, helping you focus more on exploring and innovating research questions themselves.


Outline: 

  • Applications of AI on the Web of Science Platform
  • Introduction to Web of Science Research Assistant Functions
  • Introduction to EndNote 2025 AI Functions
     

Time & Date:  Jun.3, 2025 (Tuesday)  13:30-14:30
 

Location:  AII-207(available for hands-on operation)


Language:  Chinese
 

Speaker:  Shuhan Yang,Solutions Expert, Academic Research Division, Clarivate

Master of Library and Information Science (UIUC, University of Illinois Urbana-Champaign). Previous roles as subject librarian and acquisitions librarian, with extensive experience in library practice and teaching. Delivered over 100 research-focused seminars for double first-class universities and research institutions. Research interests include knowledge services, digital literacy, AI for Science (AI4S), open science, and related fields.


→ Online Training:  Zoom Meeting

Meeting ID: 982 3722 9269
Passcode: 474279
 

→ Training Playback
 

Introduction of RA:  Web of Science Research Assistant

Application:  EndNote 2025
 


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