A generative AI-powered assistant will be at the core of our platform, providing users with insights, an intuitive user experience, and advanced analytics. The assistant will make analytical queries accessible to all users, regardless of their level of expertise in data analysis or research evaluation, helping to democratize access to research analytics and empower users to gain valuable insights.
One of the main features we are working on is impact narratives. These narratives will tell the story of the user’s research impact by drawing from societal impact frameworks and traditional publication and citation indicators. This will help users showcase the significance of their work and make it more accessible to a wider audience.
Another feature we are developing is author matching, which will connect authors to their works and organizational units seamlessly. This will help streamline research workflows and make collaboration easier for researchers. Additionally, AI will be used for chart summarization, making it easy for users to understand key insights from charts quickly.
Our platform will also facilitate funding opportunities discovery by linking emerging research topics, researcher profiles, and department profiles to relevant funding opportunities. This will help researchers stay informed about available funding opportunities that align with their research interests and goals, ultimately leading to more successful collaborations and outcomes.
