Abstract

Artificial Intelligence is rapidly transforming research management, offering new opportunities to automate repetitive tasks and improve operational efficiency. This 15-minute discussion table will focus on identifying tasks within research management that are best suited for AI-driven automation, particularly through the use of chatbots and other AI-powered tools.
Based on a real-world case study, participants will explore how to evaluate existing workflows and pinpoint tasks that can be automated without compromising quality or compliance. The discussion will highlight specific administrative tasks, such as managing project finances or responding to research operational queries, that can benefit from AI solutions like chatbots. The aim is to provide participants with practical examples of how automation can be integrated into daily operations to save time, reduce administrative workloads, and improve overall workflow efficiency.
In addition to identifying automatable tasks, the discussion will address challenges in implementing AI-driven solutions, including resistance to change, data security concerns, and the need for continuous optimisation of automated workflows. Participants will be encouraged to share their own experiences and insights on overcoming these challenges within their organisations.
This interactive session will offer an open forum for attendees to exchange ideas, discuss best practices, and ask questions. By the end of the discussion, participants will have a clearer understanding of how to identify automatable tasks in their research management operations and how to design AI-driven workflows that maximise efficiency. This knowledge will support institutions in adopting more sustainable and streamlined research management practices.