Conference on Cross-Disciplinary Studies and LLMs

The Conference on Cross-Disciplinary Studies and LLMs 2026 explores how large language models are transforming research practices, methodologies, and possibilities across academic disciplines beyond computer science. Topics include the use of LLMs for literature synthesis, hypothesis generation, qualitative data analysis, scientific writing assistance, automated experimentation, and the epistemological challenges these uses raise for different fields. The conference is motivated by the recognition that LLMs are now general-purpose research tools and that their integration into diverse disciplines requires careful, discipline-specific evaluation.

The conference is designed for researchers from any discipline who are actively incorporating or critically examining LLMs in their research workflows, alongside AI researchers who want to understand domain-specific requirements and failure modes. Philosophers of science, methodologists, and science studies scholars will find the epistemological discussions particularly rich. Graduate students navigating new expectations around AI tool use in research will benefit from the conference's honest, critical, and forward-looking conversation about what LLMs can and cannot contribute to human knowledge production.