Call For Papers
ICAIDAS 2027
ℹ️ About Conference
The International Conference on Artificial Intelligence, Data Science and Smart Systems for Business, Science and Society (ICAIDAS 2027) aims to bring together researchers, academics, industry professionals, doctoral students, and policymakers to discuss recent advances and emerging challenges in artificial intelligence, data science, machine learning, intelligent systems, and their applications across business, science, technology, and society.
ICAIDAS 2027 provides an interdisciplinary forum for presenting high-quality research, exchanging innovative ideas, and building academic and professional collaborations. The conference welcomes theoretical, methodological, experimental, and applied contributions that demonstrate scientific rigor, originality, and real-world relevance.
Conference Scope
Artificial intelligence and data science are reshaping decision-making, automation, innovation, and knowledge production across many sectors. From finance and healthcare to education, cybersecurity, sustainability, engineering, and public governance, intelligent systems are creating new opportunities while raising important technical, ethical, and societal questions.
The conference encourages contributions that address both the development of advanced computational methods and their responsible application in real-world contexts.
Conference Objectives
ICAIDAS 2027 seeks to:
- ■ promote high-quality research in artificial intelligence, data science, machine learning, and intelligent systems;
- ■ encourage interdisciplinary collaboration between academia, industry, and public institutions;
- ■ provide a platform for young researchers and doctoral students to present their work;
- ■ discuss recent theoretical, methodological, and applied advances;
- ■ explore the impact of AI and data-driven technologies on business, science, and society;
- ■ support ethical, transparent, and responsible innovation in intelligent systems.
Topics of Interest
Submissions are welcome in, but not limited to, the following areas:
Track 01: Artificial Intelligence and Machine Learning
- Machine learning and deep learning
- Generative AI and large language models
- Explainable and trustworthy AI
- Reinforcement learning
- Natural language processing
- Computer vision and pattern recognition
- AI ethics, fairness, accountability, and transparency
Track 02: Finance, Economics & Business
- Algorithmic Trading & Quantitative Finance
- Financial Forecasting & Risk Modeling
- Fraud Detection & Anti-Money Laundering
- Credit Scoring & Financial Decision Systems
- AI in Banking, Insurance & FinTech
- Economic Modeling & Computational Economics
- Market Microstructure & Behavioral Finance
- AI for Macroeconomic & Policy Analysis
Track 03: Healthcare, Biology & Life Sciences
- Medical Imaging & Diagnostic Systems
- Clinical Decision Support & Health Informatics
- Predictive Analytics for Healthcare
- Personalized & Precision Medicine
- AI for Drug Discovery & Development
- Electronic Health Records Analytics
- AI in Epidemiology & Public Health
- Wearable & Sensor Data Analytics
- Bioinformatics & Computational Biology
- Genomics, Proteomics & Multi-Omics
- Systems Biology & Network Modeling
- AI for Protein Structure Prediction
- AI in Biomedical Signal Processing
- Synthetic Biology & Bio-Inspired AI
Track 04: Statistics, Mathematics & Optimization
- Statistical Learning & Inference
- Bayesian Methods & Probabilistic Modeling
- Causal Inference & Experimental Design
- Uncertainty Quantification & Risk Analysis
- High-Dimensional Statistics
- Optimization Methods for AI
- Monte Carlo & Simulation-Based Methods
Track 05: Engineering, Physical Sciences & Industry
- AI for Materials Science & Discovery
- Physics-Informed Machine Learning
- AI for Simulation & Digital Twins
- Smart Sensors & Cyber-Physical Systems
- AI in Mechanical, Electrical & Civil Engineering
- Predictive Maintenance & Industrial Analytics
- Supply Chain & Logistics Optimization
- Smart Manufacturing & Industry 4.0
- AI for Quality Control & Process Optimization
Track 06: Robotics & Autonomous Systems
- Intelligent Robotics & Control Systems
- Autonomous Vehicles & Navigation
- Human-Robot Interaction
- Swarm Robotics & Collective Intelligence
- Learning-Based Control & Planning
- AI for Drones & Unmanned Systems
Track 07: Environment, Energy & Sustainability
- Climate Modeling & Environmental Analytics
- AI for Renewable Energy Systems
- Smart Grids & Energy Forecasting
- AI for Disaster Prediction & Risk Management
- AI for Sustainable Development Goals (SDGs)
Track 08: Social Sciences, Humanities & Governance
- Computational Social Science
- AI for Economics, Sociology & Political Science
- Natural Language Analysis for Social Data
- Misinformation & Opinion Mining
- AI for Digital Humanities
- AI for Cybersecurity & Threat Detection
- AI in Law, Regulation & Compliance
- Trustworthy AI in Critical Applications
- AI for Public Administration & Smart Governance
Track 09: Cross-Cutting & Emerging Applications
- Digital Twins for Complex Systems
- AI for Scientific Discovery & Research Automation
- AI for Space, Astronomy & Astrophysics
- AI + IoT Applications
- Multimodal & Human-Centered AI
Publication & Indexing
We are committed to maximizing the visibility and impact of your research. Participating in the conference gives you the exceptional opportunity to publish not only in our proceedings but also in prestigious journals indexed by Scopus, Elsevier, and Web of Science.
All accepted and presented papers will be officially published by Elsevier Science in the Procedia Computer Science series on-line, making your research freely available worldwide on ScienceDirect.
Premium Journal Publication: In addition to the standard conference proceedings, authors of outstanding papers will be invited to submit extended versions of their work for publication in high-impact international journals formally indexed by Web of Science (WoS), Scopus, and Elsevier.
- ✦ Open Access & Freely Available Worldwide
- ✦ Citable DOI Numbers assigned to all papers
- ✦ Extended publication chances in WoS & Scopus Journals
Indexed by Elsevier
Scopus
Wob Of Science
