Enhancing research collaboration and sustainability with AI-driven platforms : an empirical study

Abstract

Academic research is being transformed by artificial intelligence (AI), which makes it possible to automate, collaborate, and share information. However, it is currently unknown to what extent AI-driven platforms promote sustainable research practices and fair collaboration. This paper examines the advantages, drawbacks, and implications for future practice of AI-driven platforms as they improve academic research collaboration and sustainability. A quantitative survey of 55 researchers was combined with a systematic literature study as part of a mixed-methods strategy. Associations between demographic factors, the use of AI tools, and perceived advantages and difficulties were investigated using appropriate statistical methods. According to the findings, artificial intelligence (AI) technologies increase research productivity, facilitate interdisciplinary collaboration, and eliminate repetitive effort, all of which support sustainability. Adoption is, however, constrained by problems like tool fragmentation, subscription fees, and data protection difficulties. The study's conclusion proposes the development of unified, ethical, and easily accessible AI ecosystems to promote equitable and sustainable research collaboration.