Our platform will integrate AI across all layers, with a focus on using it for metadata enhancements and conversational discovery. At the heart of the platform will be a generative AI-powered assistant that provides users with insights, an intuitive user experience, and advanced analytics. This assistant will automate administrative tasks, allowing users to focus on decision-making rather than data collection and analysis.
One of our main use cases is a conversational assistant powered by generative AI. This intelligent interface will make analytical queries accessible to all users, regardless of their level of expertise in data analysis or research evaluation. By democratizing access to research analytics, we aim to empower users and help them gain valuable insights.
Another feature we are working on is impact narratives. Rather than just presenting numbers, the assistant will create narratives that tell the story of the user’s research impact. These narratives will draw from societal impact frameworks and traditional publication and citation indicators, helping users showcase the significance of their work.
Our platform will also include tools for chart summarization, making it easy for users to understand key insights from charts quickly. Additionally, AI will be used for author matching, connecting authors to their works and organizational units seamlessly. This will help streamline research workflows and make collaboration easier.
Lastly, our platform will 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.
