Using LLMs to automate the discovery of fundraising opportunities for research institutions
Year: 2025
Type: dissertation
Abstract: This work investigates the use of Large Language Models to support institutional processes, focusing on the preparation of funding proposals—a complex task that requires extensive research and analysis. The identified problem lies in the difficulty research departments face in locating and organizing funding opportunities, due to the large volume of information and the lack of automated tools capable of processing different calls and notices. The proposed solution is based on Retrieval-Augmented Generation integrated with the Browser-use agent, enabling the automation of the collection, processing, and semantic organization of these opportunities. The study contributes by demonstrating how LLM-based agents can transform research management practices within educational institutions.
Author: Amaral, Elisa Ribeiro do
Language: Portuguese
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7155458601