TD Toolkitting with and for AI Project

What is it all about?

The new project entitled, “Transdisciplinary (TD) Toolkitting with and for AI” will examine how artificial intelligence (AI) is entering transdisciplinary (TD) research, both as a potential new tool and as a driver of change in toolkitting practices and methodological processes. Across sustainability-oriented TD projects, AI is increasingly used to support synthesis, analysis, facilitation, and documentation. These uses are already reshaping how methods are selected, combined, sequenced, and assessed across the TD research process, yet they remain weakly documented and insufficiently reflected upon at a collective methodological level.
 
The project aims to strengthen methodological orientation by building an empirical understanding of how AI is affecting TD toolkitting in practice. In the first phase, the project focuses on evidence generation across the ITD Alliance network and beyond to document concrete practices of AI use, adaptation, and deliberate non-use in relation to TD methods and to map areas of methodological change, identify recurring challenges and tensions, and highlight emerging opportunities for more reflective and context-sensitive method use. Attention is given both to AI as an additional element in the TD toolbox and to its broader implications for how toolkitting and methodological processes are organized. The project is structured as a collaborative, action-oriented inquiry, and future phases will address the gaps in research and practice identified in the results of the first phase.
 
Researchers and practitioners across the ITD Alliance network and related communities are invited to contribute experiences and critical reflections. Interactive engagement formats will support shared interpretation and co-learning across project stages.