# SAMYRAD — Smart Algorithms & Models: Your Reach to Advanced Dialogues

- **Submission deadline**: 2026-03-08
- **Notification date**: 2026-03-21
- **Conference date**: 2026-10-05
- **Location**: Seville, Spain
- **Conference Partner Index**: 43.6/100 (ranked #3472, confidence 0.25, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/5281

## Call for papers

The SAMYRAD 2026 is a pioneering international event focused on the transformative power of artificial intelligence in higher education. Bringing together global scholars, educators, researchers, the EdTech industry, policymakers, and innovators, the summit offers a platform to exchange knowledge, develop skills, and foster collaborations that drive meaningful change. Unlike traditional conferences, SAMYRAD emphasizes hands-on learning and practical impact. Over two dynamic days, participants will engage in cutting-edge workshops and immersive research presentations. With a strong commitment to bringing academia closer to industry and policy, the event facilitates a space where academics can learn from government representatives and industry leaders about society’s most pressing needs. SAMYRAD is built on the belief that only through a triangular alliance—academia, industry, and policy—can research realize its full potential and transformative power. With a strong commitment to interdisciplinary collaboration, the summit presents a special track dedicated to the intersections of AI with the United Nations’ Sustainable Development Goals (SDGs), encouraging critical dialogue on how AI can advance equity, quality education, lifelong learning, and institutional resilience. Whether you’re a professor, researcher, university leader, EdTech professional, or doctoral student, the SAMYRAD 2026 serves as your reach to advanced dialogues. It offers an enriching experience to learn, connect, and lead the future of education through ethical, inclusive, and high-impact AI practices.

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Source: Conference Partner — https://www.myhuiban.com/conference/5281 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)