On June 25, Obs attended the webinar “Enhancing Research Assessment with Web of Science and AI”, hosted by Clarivate. The session focused on how artificial intelligence is being integrated into research evaluation workflows to improve decision-making, transparency, and efficiency.
The presenters demonstrated how AI tools, particularly those embedded in the Web of Science ecosystem, can support institutions in mapping research strengths, identifying collaboration opportunities, and tracking impact more effectively. They also addressed concerns about bias and data quality, emphasising the importance of maintaining human oversight in AI-assisted assessments.
One of the key takeaways was how AI is not meant to replace expert judgment, but rather to complement it by handling repetitive tasks, revealing hidden patterns, and allowing researchers and evaluators to focus on strategic insights. The webinar also introduced recent updates to the Research Assessment module, which now offers improved analytics, customisable dashboards, and expanded data visualisation features.
Overall, it was a timely and informative session, especially as research institutions and academic communities continue to rethink how excellence and impact are defined in a data-driven world. For more information on Clarivate, visit their website.