To help faculty and students enhance efficiency in literature processing, research development, and paper writing, our university has opened trial access to the LeapSpace platform (available until July 12, 2026). Powered by Scopus peer-reviewed literature, LeapSpace offers intelligent Q&A, literature analysis, content traceability, and citation support, serving research across all disciplines. To make the most of this e-resource, the Library is hosting a training session on the LeapSpace research AI platform. We look forward to your participation!
Date & Time: Tuesday, June 16th, 14:00–15:00
Speaker: Dr. Xiaoqian Liu, Senior Customer Success Manager at Elsevier
Access Link:
https://lib.cityu-dg.edu.cn/en/database/all/333
Before using the platform, users need to register a personal account while connected to the university IP network.
Agenda
- Overview of the LeapSpace platform and its key advantages.
- Demonstration of basic operations and advanced search features.
- Hands-on use of AI for literature reading, research exploration, and research workflow support.
- Explanation of content traceability, citation standards, and compliant use of AI in research.
- Live Q&A to address common questions and practical usage challenges.
Participation Method
Scan to QR code to join.
#Meeting ID:511-121-256
About LeapSpace
LeapSpace is a research-grade AI workspace developed by Elsevier. Based on full-text content and Scopus abstracts, it differs from general-purpose AI tools by providing content traceability and citation support, helping ensure research rigor and academic compliance. The platform supports the full research workflow, including literature search, intelligent reading, topic exploration, evidence tracing, citation support, and research output organization. It is applicable to a wide range of disciplines, including life sciences, engineering, business and management, and the humanities. With secure, reliable, and traceable intelligent services, LeapSpace helps faculty members and students improve the quality and efficiency of academic research.