CIENS Artifical Intelligence Network (CAIN)
Artificial Intelligence (AI) and machine learning have become ubiquitous in research, society, and industry alike. The role in addressing major global challenges and shaping future practices is increasingly recognised. CAIN, facilitated by CIENS partner institutions, supports the practical and critical integration of AI and machine learning in environmental and social science research.
Our purpose:
CAIN will foster a peer network aimed at enhancing the practical use of AI and machine learning across disciplines. Our primary goal is to support ongoing projects within CIENS by providing a platform for exchanging ideas and experiences related to AI and machine learning applications.
What we do:
We organise seminars and social events that encourage peer learning and open discussions on the ethical and responsible use of AI in research. These events bring together experts to share insights and discuss the evolving landscape of AI and machine learning applications.
The network is represented by Yuri Kasahara (NIBR), Taheera Ahmed (NINA), Maximilian Nawrath (NIVA).
Interested in joining?
We welcome anyone working at a CIENS institute with an interest in AI in research to become part of the CAIN network.
Sign up for our mailing list here to stay informed about upcoming workshops and events.