Call for Papers: Agents, Accountability & Action: Governing the Next Era of Intelligence

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 transition from the initial wave of agentic systems into widespread deployment, 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, reliable, and sustainable future.

This year, --DaSET 2026-- focuses on the critical nexus of --Agents, Accountability & Action: Governing the Next Era of Intelligence--. As Artificial Intelligence (AI) and frontier technologies evolve into highly autonomous agents capable of independent decision-making, the conversations must shift from what these technologies -can- do, to how they are -governed, monitored, and held accountable-. This conference aims to attract leading industry and academic researchers actively exploring the theoretical underpinnings, data architectures, and practical applications of data science required to build trustworthy, actionable, and responsible intelligent systems.

--DaSET 2026-- invites paper submissions that address cutting-edge topics related to Data Science and Emerging Technologies, with a particular emphasis on the frameworks, methodologies, and applications of autonomous intelligence under responsible governance. We aim to provide a vibrant platform for experts and researchers to discuss the latest advancements, mitigate risks, and chart new directions for future research aligned with the Sustainable Development Goals for sustainable economic, social, and environmental progress.

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 Architecture
- Data Science Applications
- Emerging Trends in Data Science
- Big Data Technologies & Advanced Data Pipelines
- Data Mining & Visualization
- Optimization Algorithms
- Statistical Learning
- Granular Computing and Fuzzy Systems
- Computer Vision & Natural Language Processing
- Foundations of Agentic AI & Multi-Agent Systems
- Data-Driven Autonomous Systems & Decision Engines
- Machine Learning for Autonomous Agents
- Applications of Autonomous Intelligence in Industry
- Human-Agent Interaction & Collaborative Intelligence
- Frameworks for Algorithmic Accountability and Auditability
- Trust, Security, and Ethics in Autonomous Systems
- Explainable and Interpretable Autonomous Intelligence (XAI)
- Bias Mitigation, Fairness, and Data Sovereignty
- Legal, Regulatory, and Policy Implications of Autonomous Action
- The Impact of Autonomous Action on Society and the Workforce
- Edge AI and Distributed Autonomous Systems
- Blockchain Technology & Decentralized Governance
- Cybersecurity & Cryptography
- Smart Manufacturing, Industry 4.0, and Envisioning Industry 5.0
- Digital Health and Biomedical Informatics
- Green AI, Sustainable Computing, and Environmental Informatics