Symplectic Elements adds AI-powered summaries

Digital Science has announced enhancements to Symplectic Elements, which will offer the ability to embed AI-generated summaries for publication abstracts within a researcher’s public profile.

Symplectic Elements, a research information management system (RIMS), enables the creation of public profiles. These profiles are hosted on online portals that offer search and discovery capabilities while ensuring alignment with organisational branding. Profiles can be made available not only for researchers and faculty but also for equipment, services, and other institutional resources.

Symplectic Elements underpins the profiling portals for more than 70 organisations, including academic institutions (such as University College London, University of Oxford and Virginia Tech), consortia (Ohio Innovation Exchange) and governmental organisations (Australian Nuclear Science and Technology Organisation).

“AI is transforming the way we manage, and share information, and Digital Science is proud to lead the way with solutions that enable the academic community to maximise its research impact,” said Jonathan Breeze, EVP Academic Markets at Digital Science. “Adding AI-powered summaries to Symplectic Elements public profiles will aid research discoverability and demonstrates Digital Science’s commitment to making use of AI technologies to support the research community.”

Daniel Hook, CEO of Digital Science, added: “This is another step in Digital Science’s program of AI-based product enhancements that work synergistically with research workflows. Part of being a responsible contributor to infrastructure in the scholarly space is to ensure that new functionality is augmentative and safe to use and we pride ourselves on an incremental approach designed to support researchers at all stages of their career.”

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