Future Cohort of AI and Data Science

The Future Cohort of AI and Data Science is an international, peer-reviewed journal dedicated to publishing high-quality research, innovative methodologies, and real-world applications in Artificial Intelligence (AI), Machine Learning (ML), and Data Science. The journal promotes interdisciplinary research that supports sustainable development by leveraging intelligent technologies to address global challenges in areas such as smart energy systems, environmental monitoring, healthcare analytics, sustainable infrastructure, and digital transformation.

The journal encourages contributions that advance responsible AI, data-driven decision making, and scalable technologies that enhance quality education, sustainable industries, resilient infrastructure, and inclusive innovation ecosystems. By bridging theoretical advancements with practical implementations, The Future Cohort of AI and Data Science aims to foster research that contributes to sustainable technological progress, efficient resource utilization, and data-empowered solutions for societal and environmental well-being.

Authors must prepare manuscripts in clear and concise English, ensuring readability and academic quality. The manuscript should be formatted in A4 size, single-column layout, with 1.5 line spacing and appropriate margins, using Times New Roman font (12 pt). Authors are not required to strictly follow the journal’s final template at the time of submission; however, after acceptance, manuscripts must be formatted according to the journal’s prescribed guidelines before publication. Additionally, all submitted articles must be aligned with the journal’s Sustainable Development Goals (SDG) keywords, clearly reflecting their relevance to sustainability and global development objectives. Authors can use the provided sample format as a reference for manuscript preparation:https://docs.google.com/document/d/1P0xzKZMwHc25kjBZl4gDM-0BYByucNqd/edit?usp=drive_link&ouid=100147845190320476287&rtpof=true&sd=true