In a rapidly evolving research landscape, institutional leaders must make critical decisions about funding, talent, partnerships, and research priorities—often with information scattered across multiple systems and sources.
Join
Clarivate for an exclusive introduction to
Web of Science Research Intelligence, a next-generation, AI-powered platform designed to transform trusted research data into strategic insight. By bringing together publications, grants, patents, policy documents, clinical trials, researcher expertise, emerging topics and more in a single intelligence layer, Web of Science Research Intelligence empowers institutions to move beyond reporting about the past and into confidently shaping the future.
Discover why leading organizations are adopting
Web of Science Research Intelligence, how the platform has evolved through collaboration with development partners and early adopters, and how research leaders can leverage connected intelligence to strengthen institutional performance, identify new opportunities, and demonstrate broader research impact.
Part 1: The Future of Research Intelligence
Speaker: Subhasree Nag,
PhD, Strategic Customer Success Consultant, South APAC
- Why traditional research analytics is no longer enough for today's strategic challenges.
- The evolution of Web of Science Research Intelligence and the vision behind the platform.
- What powers Web of Science Research Intelligence
Part 2: Web of Science Research Intelligence in Action
Speaker: Shalhevet Bar-Asher
Senior Director, Product Management
- Live demonstration of Web of Science Research Intelligence capabilities through practical examples from India and Southeast Asia.
- Explore funding discovery, research benchmarking, collaboration intelligence, emerging topics, and broader impact analysis.
- See how AI-powered insights can help institutions turn data into action and insights into strategy.
Part 3: Early Adopter Success Stories
Speaker: Ahmed Bourghida, PhD
Senior Product Sales Manager, South APAC
- How institutions are using Web of Science Research Intelligence to support research strategy and institutional decision-making.
- Real-world examples of identifying strengths, uncovering opportunities, and strengthening competitive positioning.
- Lessons learned from early adopters and the platform's ongoing evolution.
Q&A and Discussion
