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Elsevier Expands LeapSpace AI with Massive Scientific Database

With 23 million full-text articles and 2.6 billion cited references now integrated into its platform, Elsevier is attempting to reshape how researchers navigate scientific literature. The company is positioning LeapSpace as a research-grade workspace, aiming to bridge the trust gap between generative AI capabilities and academic rigor.

Elsevier Expands LeapSpace AI with Massive Scientific Database

The expansion brings the platform’s underlying data to 56% of all recent global research citations, fueled by new partnerships with the BMJ Group, JAMA Network, Rockefeller University Press, and the American Society of Civil Engineers. This cross-publisher foundation allows users to generate study protocols and prepare manuscripts using content from over 1,500 scholarly organizations.

To counter the industry-wide skepticism—where only 22% of researchers report trusting AI tools—Elsevier has launched an independent Advisory Board. Chaired by Carleton University’s Jörg-Rüdiger Sack, the panel oversees algorithmic transparency and publisher-neutral content rankings. The board includes experts from RWTH Aachen University, Zhejiang University, and the University of Wisconsin-Madison, tasked with ensuring that the tool remains grounded in verifiable scientific evidence rather than opaque model generation.

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