Boosting knowledge discovery with Open Science and AI

This training focuses on AI-based approaches and tools for knowledge discovery, providing an overview of search engines using AI technologies and tools that combine searching, data extraction, and summarizing.

Icon: learning outcomesBy the end of this training, learners should:

  • understand the difference between lexical search and natural language search
  • be familiar with academic search engines that use AI technologies
  • understand advantages and limitations of AI-assisted search 
  • be aware of the advantages and limitations of the tools that combine searching, data extraction, and summarizing 
  • understand how open access content and open metadata can help improve knowledge discovery
 

Icon: training outlineTraining outline

  • The difference between lexical and natural language search
  • Limitations of AI-assisted search
  • AI-assisted search in indexing databases (Scopus and Dimensions)
  • AI research assistants (Elicit, Consensus, Perplexity, etc.)
  • Aggregators and AI (OpenAIRE Explore, Open Knowledge Maps, Core GPT)
 

Resources for facilitators and learners

Icon: PublicationsPublications and blog posts

 

Icon: videosVideos, webinars, online tutorials

 

 

Icon: LibguidesLibrary guides