Aïra AI assistant bridges interdisciplinary science gaps

Scientific discovery increasingly depends on interdisciplinary teams whose members bring distinct expertise, vocabularies, and standards of evidence. Existing AI research assistants focus on individual tasks like literature review, coding, and data analysis, offering little support for the collaborative reasoning required to integrate knowledge across disciplines. A new paper from researchers at Duke University and other institutions argues that AI assistants must evolve from individual productivity tools into systems designed for teamwork.

Enter Aïra: an AI research assistant built around this vision. Rather than just answering questions or summarizing papers, Aïra identifies disciplinary perspectives, translates terminology, highlights hidden assumptions, and suggests collaborative research opportunities. The paper describes its design principles, system architecture, and outputs from interdisciplinary research meetings. Aïra represents a shift toward AI that actively facilitates cross-disciplinary collaboration, potentially accelerating breakthroughs in fields like climate science, public health, and complex systems.