Call For Papers
ICAIDAS 2026
ℹ️ About Conference
Artificial intelligence (AI) and Data Science are fundamentally reshaping our world, driving innovation through human-machine interactions, advanced algorithms, and predictive analytics.
The International Conference on Artificial Intelligence, Data Science and Smart Systems for Business, Science and Society serves as a premier annual gathering. Its primary aim is to bring together researchers, practitioners, and policymakers from around the globe to present their latest insights and applied research results.
It unites professionals working across AI, data science, smart systems, and machine learning, providing a vital interdisciplinary forum to explore how these technologies are actively transforming business strategies, scientific discovery, and societal structures.
We strive to cultivate an ideal environment for cross-domain collaboration, allowing experts to connect over the fundamentals, advanced applications, and emerging products. The event will feature diverse presentations of contributed papers, interactive poster sessions, and state-of-the-art lectures delivered by distinguished invited keynote speakers.
Conference Tracks
We welcome contributions from all scientific domains and application areas, with particular emphasis on interdisciplinary, cross-domain, and applied work that advances the state of the art or opens new research directions.
Authors should select the track that best fits their submission. Cross-track submissions are welcome. All submissions undergo a rigorous double-blind peer review.
Track 01: 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 02: 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 03: 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 04: 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 05: 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 06: 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 07: 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 08: 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