Web of Science Research Intelligence is now available for early adopter customers, bringing AI-powered insights to research strategy and evaluation.
As research institutions navigate increasing uncertainty and rapid change in a complex global environment, they need intelligent tools that empower researchers and administrators to adapt and lead. That’s why we’re excited to announce the partner release of Web of Science Research Intelligence, now available to our early adopter customers.
This launch marks a significant milestone in our journey to redefine research intelligence. With university research offices under pressure to secure funding, demonstrate real-world impact, and help researchers responsibly leverage emerging technologies, the need for more integrated, insight-driven solutions has never been greater. Co-developed with a global community of research leaders, Web of Science Research Intelligence is an AI-native platform that unites rich, interconnected research data with agentic AI to deliver dynamic insights that empower institutions to accelerate innovation and demonstrate societal impact.
“One of the most exciting aspects of Web of Science Research Intelligence is its potential to make research intelligence accessible and actionable across the institution. Being part of its development has given us a front-row seat to a collaborative process that—if realized as envisioned—will offer powerful support to our research community.”Karen Regan, Associate Vice Chancellor of Research Development and Strategic Initiatives at the University of Colorado Boulder
Democratizing access to insight
With capabilities such as performance reporting, expert discovery, emerging topic exploration, and a new societal impact framework, the platform offers both high-level strategic insight and deep analytical capabilities. By embedding agentic AI assistants within the product, we’re not only reducing complexity— we’re democratizing access to insight. Administrators, librarians and researchers at any level of analytical expertise, novice to expert, can ask questions in natural language and receive transparent answers grounded in trusted data. Whether discovering the next research opportunity, building a team, or reporting on global impact, Web of Science Research Intelligence helps users make evidence-informed decisions with efficiency and confidence.
Figure 1: Web of Science Research Intelligence home page provides multiple entry points
Early adopters can now gain insights derived from Web of Science Core Collection publications, Derwent Innovations Index patents, and global funding opportunities through a powerful suite of foundational capabilities, including:
- Research intelligence assistants: Embedded agentic AI tools that support funding discovery, impact analysis, collaboration insights, and exploration of emerging topics
- Funding opportunities: Tools to search, track, and save relevant funding opportunities tailored to institutional or individual needs
- Expert Finder: A tool to discover experts across geographies and disciplines, complete with rich, detailed profiles
- Societal impact reporting: Dynamic visualizations that offer both forward-looking and retrospective indicators to assess societal contributions
- Research performance reporting: Advanced bibliometric analysis to evaluate institutional research performance and benchmark against peers
Figure 2: Intuitive user experience powered by agentic AI
These capabilities are designed to give research leaders, librarians, and analysts the tools to plan strategically, showcase progress, and make confident, evidence-informed decisions— whether building a strong application for a competitive grant or tracking institutional progress on sustainability goals.
Evaluating societal impact with greater clarity and confidence
Measuring the societal return on research investments is a growing priority for institutions, yet remains a complex challenge. Web of Science Research Intelligence offers a powerful solution through a robust framework developed by the Institute for Scientific Information (ISI) that enables research institutions to analyze, benchmark, and showcase the societal contributions of their research across eight key societal facets—from society and health to technology and the environment.
The framework combines retrospective and forward-looking indicators to present insights in dynamic Societal Impact Profiles. A new paper from ISI presents three real-world examples of how research managers can use the profiles now available within Web of Science Research Intelligence to identify strengths, benchmark performance against peers, and make data-driven decisions around managing and improving research performance.
Figure 3: Societal Impact Report in Web of Science Research Intelligence
As the pressure to demonstrate return on public investment grows, Web of Science Research Intelligence provides a clear, explainable, and scalable approach to showcasing the societal impact of research.
Co-creating the future of research intelligence
Web of Science Research Intelligence is built in partnership with academic institutions, libraries, and research strategists. By connecting a foundation of trusted content to research-focused AI agents within a transparent system where every insight is traceable to underlying data, we’re working together to create a future where research intelligence is as dynamic as the research enterprise itself.
“I have been thrilled to be part of the journey to reimagine this research interrogation tool to evaluate research contributions in an unbiased way. Going beyond usual measures of research productivity and evaluating societal impact are significant milestones in this journey. The University of Manitoba is pleased to be an early adopter of this platform.”Mario Pinto, Vice-President (Research & International) at the University of Manitoba
In the coming months, we plan to expand the capabilities of Web of Science Research Intelligence with ongoing enhancements that reflect the evolving needs of the research community. Expect a steady rollout of new AI assistant capabilities, deeper AI integration, and expanded content—delivering more personalized, context-aware insights. Enhancements on the horizon include new metrics and AI-generated narratives for societal impact reporting, improved data management and team modeling tools, and expanded content—covering grants, preprints, policy documents, clinical trials, news, and institutional records—for a more complete view of the research ecosystem.
We welcome those interested in joining future phases to connect with us as we continue building a platform that unlocks new frontiers in evaluation, drives responsible innovation, and demonstrates the impact of research on society.
Ready to be part of what’s next? Learn more about Web of Science Research Intelligence or contact us to become an early adopter.
