GMEISS 2027 welcomes original research, case studies, industrial applications, policy analyses, and innovative practices across six interdisciplinary tracks.
This track explores the latest advances in artificial intelligence, intelligent computing, and data-driven technologies that support adaptive, resilient, and sustainable societies. It welcomes theoretical, methodological, and applied research on intelligent systems and digital innovation.
This track focuses on engineering innovations that promote sustainability, resilience, and the transition towards intelligent and circular societies. Contributions addressing smart infrastructure, renewable technologies, environmental engineering, and sustainable industrial systems are encouraged.
This track provides a platform for research on the creation, management, dissemination, and impact of knowledge in the digital era. It welcomes contributions that strengthen research excellence, interdisciplinary collaboration, and emerging technological frontiers.
This track examines how responsible innovation can support sustainable development, ethical technological advancement, and societal transformation. It welcomes interdisciplinary research addressing innovation, sustainability, governance, and technology transfer.
This track explores the transformation of organizations, industries, and public institutions through intelligent technologies, digital innovation, and evidence-based management. Contributions linking business, society, and emerging technologies are particularly encouraged.
This track addresses interdisciplinary approaches to global challenges through effective governance, public policy, international collaboration, and sustainable development. It welcomes research that contributes to resilient societies and evidence-informed policymaking.
Submit your original research and contribute to the Circular Intelligence research agenda.
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