Call for Papers: The Rise of Autonomous Intelligence in the Era of Data Science

The fusion of Data Science and emerging technologies continues to reshape business operations, the workforce, and the broader landscape of economic and societal progress. As we navigate the era of Industry 4.0 and envision the advancements of Industry 5.0, the demand for sophisticated data science skills and the innovative application of enabling technologies like cloud computing, Blockchain, big data analytics, IoT, and 6G networks remains paramount for driving digital transformation towards a human-centric and sustainable future.

This year, DaSET focuses on the transformative power of The Rise of Autonomous Intelligence in the era of Data Science. Artificial Intelligence (AI) and frontier technologies are no longer just tools; they are evolving into autonomous agents capable of profound impact across industries and society. This conference aims to attract leading industry and academic researchers actively exploring the theoretical underpinnings and practical applications of data science in the context of this burgeoning field of Agentic AI.

DaSET 2025 invites paper submissions that address cutting-edge topics related to Data Science and Emerging Technologies, with a particular emphasis on the theories, methodologies, and applications of autonomous intelligence. We aim to provide a vibrant platform for experts and researchers to discuss the latest advancements and chart new directions for future research aligned with the Sustainable Development Goals for sustainable economic, social, and environmental progress in this era of intelligent autonomy.

Authors are invited to contribute to the conference by submitting articles in the following (or any other relevant) areas:


Foundational Data Science
Machine Learning and AI
Data Science Applications
Emerging Trends in Data Science
Big Data Technologies
Data Mining & Visualization
Optimization Algorithms
Statistical Learning
Granular Computing and Fuzzy system
Artificial Intelligence
Green AI and Sustainability
Computer Vision
Blockchain Technology
Cybersecurity & Cryptography
Smart Manufacturing and Industry 4.0
Digital Health
Foundations of Agentic AI
Data-Driven Autonomous Systems
Machine Learning for Autonomous Agents
Applications of Autonomous Intelligence
Human-Agent Interaction
Trust, Security, and Ethics in Autonomous Systems
Explainable and Interpretable Autonomous Intelligence
Edge AI and Autonomous Systems
Multi-Agent Systems
Edge AI and Autonomous Systems
The Impact of Autonomous Intelligence on Society and the Workforce