Meta-Technology is a premier international journal dedicated to exploring the frontiers of artificial intelligence (AI), emerging technologies, and the evolving meta-society. It serves as a platform for the dissemination of original research, systematic reviews, and groundbreaking case studies that examine the profound intersections between technological innovation and human society.

Our scope encompasses a wide array of topics, including but not limited to Artificial Intelligence,  Internet of Things (IoT), blockchain, smart cities, health technologies, Natural Language Processing, Data Mining, Machine Learning, Expert Systems, Deep Learning, Human-Computer Interaction, Information System, Decision Support System, Geographical Information System, IT Risk Management, Information Retrieval, Network and Security, and other emerging fields, emphasizing the socio-technical implications.

By bridging theoretical advancements with practical applications, Meta-Technology fosters scholarly dialogue and critical insights that shape the future of socio-technical ecosystems. We particularly encourage interdisciplinary contributions that challenge existing paradigms, propose novel frameworks, and envision transformative pathways for humanity in an increasingly interconnected, intelligent, and meta-technological world.