Scopus AI: How curated, enriched and connected data enhance research insights Webinar

Submitted by d.feldner@elsev... 

 

Scopus AI is designed to save researchers and institutions valuable time by creating an instant, intuitive and fully referenced summary of whatever topic is queried.  As with any generative AI technology, Scopus AI critically hinges on the quality of the data it is trained on.  Scopus AI draws from metadata and abstracts of Scopus, an authoritative, curated, and enriched data source.  Join as we delve into the universe of Scopus data and explore how it is uniquely positioned to inform a generative AI solution to support researchers.    

 

During this webinar we will discuss: 

• What content is included in Scopus and how is it selected? 
• How are inclusion, diversity and other bias minimized in Scopus data?  
• How do we ensure Scopus integrity by avoiding predatory and hijacked content?  
• What steps are taken to ensure the quality and accuracy of Scopus content? 
• What specific Scopus content is used to train Scopus AI?  

 

Speakers: 

Dr. Wim Meester, Senior Director of Product Management, Content & Policy  

 

Dr. Wim Meester holds a PhD in Organic Chemistry from the University of Amsterdam in the Netherlands. After a postdoctoral fellowship at Harvard Medical School in Boston, USA, he changed from being an active researcher to research administration by joining the Netherlands Organization for Scientific Research (NWO) as Program Manager for Chemical Sciences.  

 Currently Wim is the Senior Director of Product Management, Content & Policy. In this role, he has overall responsibility for the policies and certification of various content data collections for Elsevier’s Research Intelligence. This includes the content selection and content coverage of the Scopus database, where he is working with the independent Content Selection & Advisory Board (CSAB) and various stakeholders in the research community such as publishers, institutions and researchers. 

Tracy Chen, Lead Product Manager

Ms. Tracy Chen is the Lead Product Manager for Content & Policy in global Research Data Platform department in Elsevier. She is mainly responsible for content policy, coverage development and management for Scopus. She works with the independent Content Selection & Advisory Board (CSAB) and Local Boards, as well as various stakeholders in the research community such as publishers, institutions and researchers. Tracy had more than 15 years of experience in international journal publishing and research data community. She joined Elsevier in 2010 and Scopus content management team in 2018. Prior to product management role, she was a Publisher for eleven top tier Elsevier proprietary international journals in ocean and geotechnical engineering. Tracy graduated from Jilin University and had a master’s degree in Polymer Chemistry and Physics.

 

 

 

 

Dr. Adrian Raudaschl, Principal Product Manager at 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. 

 

Click here to learn more about Scopus AI