AI for Science and Innovation
Artificial Intelligence (AI) has become a shaping force across economic activity, organizational practices, and scientific inquiry. Within private firms and public agencies, AI adoption offers prospects for productivity gains through streamlined processes, greater adaptive capacity to shifting markets and user demands, and strengthened access to external knowledge bases. It may also widen the space for discovery by enabling new forms of combinatorial exploration in innovation and R&D. In public research institutions, the growing use of generative systems and machine learning is poised to alter how scientific tasks are structured, how methodological options are evaluated, and how rapidly new findings are produced and circulated.
The IMT School for Advanced Studies Lucca invites scholars, postdoctoral researchers, and doctoral candidates to a two-day workshop examining three interrelated themes:
AI’s influence on R&D and innovation processes
AI-enabled advances in scientific research, research methods, and research practice
AI’s effects on organizational arrangements, with a focus on research infrastructures and broader research ecosystems
We welcome theoretical, empirical, and methodological contributions from economics, management, computer science, data science, science and technology studies, and related fields.
Key Dates and Deadlines
February 15 – Deadline for submission of extended abstract
February 22 – Notification of acceptance
March 30 – Submission of full papers
For further information, please visit the dedicated website.
Scuola IMT Alti Studi Lucca is a member of the EFC - Educating Future Citizens network so IMT Community members have the opportunity to participate in joint activities and are encouraged to engage with partner institutions to foster academic and research collaborations.
