Reciprocal Collaboration: how lessons from convergence in GLAMs can enhance interdisciplinary AI research
The need for collaboration between diverse fields of research is increasingly recognised as important by research funding agencies. A significant driver of this need is the current revolution in artificial intelligence (AI) and related technologies. There is a growing interest in the potential impact of AI in different fields including the methodologies they use and the resulting advances in new knowledge, new access and enhanced productivity. However, there is also a corresponding increase in concern about the fundamentals of AI technologies and the way in which trans and/or interdisciplinary research is approached. The resulting collaboration too often ends up as a one-way street where ...
| Authors | Amber L. Cushing, Suzanne Little, Giulia Osti |
|---|---|
| Primary category | cs.CY |
| Published | 22 September 2026 |
| Last updated at source | 22 September 2026 |
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