The Arctic region, alongside transforming demographic, economic, and security conditions, is confronting accelerated climate and ecological changes. Arctic research is adopting convergence approaches, combining academically-trained knowledge systems, Indigenous knowledges, and practitioner expertise to understand the interconnectedness of natural, social, and human-built systems. Convergence research demands reciprocal and trust-building collaborations while advancing adaptation, mitigation, and resilience, and requires usable research products informed and designed through co-production that can be interpreted and used by practitioners. Research products also need to be shared in ways that can be accessed in remote settings. Critically, open science and data must be balanced with ethical data practices so knowledge holders retain authority and control of data, and data has collective benefits. We invite presentations describing innovative data products and tools, lessons learned from creating data within a co-productive framework following FAIR and CARE principles, and stories of using data to inform policy and action.

• ED - Education
• GC - Global Environmental Change
• IN - Informatics
• SY - Science and Society