YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

Clarivate has released Web of Science Research Intelligence to early adopter customers, introducing an AI-driven platform designed to support research strategy and evaluation. The launch addresses growing demands on research institutions to adapt to complex global conditions, secure funding, demonstrate real-world impact, and integrate emerging technologies responsibly.

The platform, co-developed with a global network of research leaders, combines interconnected research data with agentic AI to provide dynamic insights that enable institutions to accelerate innovation and illustrate societal contributions. It aims to make research intelligence more accessible and actionable across an entire institution, providing capabilities that support both strategic oversight and deep analytical work.

Key functions include performance reporting, expert discovery, emerging topic exploration, and a societal impact framework. Embedded AI assistants allow users—regardless of analytical expertise—to ask questions in natural language and receive evidence-based answers from trusted datasets. Current foundational capabilities draw on sources such as the Web of Science Core Collection, Derwent Innovations Index, and global funding opportunities. Features include AI-supported research intelligence assistants, tailored funding opportunity searches, a cross-disciplinary expert finder, dynamic societal impact visualizations, and advanced bibliometric reporting. These tools are intended to help research offices plan strategically, track progress, and prepare competitive grant applications.

The societal impact component applies a framework developed by the Institute for Scientific Information (ISI) to measure institutional contributions across eight facets, from health and society to technology and the environment. The framework integrates retrospective and forward-looking indicators, producing Societal Impact Profiles that institutions can use to benchmark against peers, identify strengths, and make informed decisions to enhance research performance.

Developed in collaboration with academic institutions, libraries, and research strategists, the platform integrates trusted content with AI agents in a transparent environment where all insights are traceable to source data. Future updates will expand AI assistant capabilities, integrate new metrics and narrative tools for societal impact, and extend content coverage to include grants, preprints, policy documents, clinical trials, news, and institutional records. Planned enhancements also include improved data management and team modeling features, with the objective of delivering more personalized, context-aware research insights.

Institutions interested in participating in future development phases are invited to engage with the project as it evolves toward providing a more comprehensive, explainable, and scalable approach to research evaluation and impact demonstration.