Thematic Areas
Four thematic areas for academic and interdisciplinary submissions.
Thematic Areas 2026
The meeting welcomes work related to four major thematic areas. The lines below are illustrative rather than restrictive, and interdisciplinary research aligned with the academic purpose of the event is welcome.
Area 1. Artificial Intelligence and Technology
- Artificial intelligence and generative AI.
- Machine Learning and Deep Learning.
- Data science, Big Data and analytics.
- Internet of Things (IoT) and intelligent systems.
- Automation, robotics and mechatronics.
- Digital transformation, cybersecurity and emerging technologies.
Area 2. Environmental Sustainability
- Environmental and sustainable management.
- Renewable energy and energy efficiency.
- Climate change and resilience.
- Circular economy and waste management.
- Clean technologies and green innovation.
- Natural-resource management and sustainable development.
Area 3. Health Sciences
- Clinical research and public health.
- Medical technology and biomedical engineering.
- Health instrumentation and devices.
- Digital health, telemedicine and AI in health.
- Prevention, health promotion and health management.
- Innovation in diagnosis, treatment and care.
Area 4. Education and Social Sciences
- Educational innovation and learning technologies.
- Higher education and professional training.
- Educational management and quality.
- Inclusion, interculturality and social responsibility.
- Communication, culture and social transformation.
- Human development, organizational behavior and talent management.
- Social research, educational policy and interdisciplinary studies.