AREA 1: COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING

• Complexity Theory
• Chaos Theory and Applications
• Quantum Computing
• Information and Entropy
• Simulation and Modeling
• Automation, Control and Robotics
• Connected Vehicles
• Complex Networks
• Internet and the Semantic Web
• Big Data Analytics
• Usability of Complex Information Systems
• Power Distribution, Energy and Control

AREA 2: COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING

• Complex Biomedical Systems and Signals
• Bioinformatics
• Computational Biology
• Biological and Biomedical Data Mining
• Ontology Engineering
• Biomedical Signal Processing
• Biomedical Imaging and Data Visualization
• Health Systems Complexity
• Artificial Life
• Population Models

AREA 3: COMPLEXITY IN COMPUTATIONAL INTELLIGENCE

• Complex Adaptive Systems
• Evolutionary Computing
• Neuro-fuzzy Systems
• Self-Organizing Systems
• Deep Learning
• Non-Linear Dynamics
• Decision Making under Uncertainty
• Knowledge-Based Systems
• Intelligent multi-agent systems
• Climate Change and Natural Science Simulations

AREA 4: COMPLEXITY IN SOCIAL SCIENCES

• Social Networks
• Linguistic and Cognitive Systems
• Complexity Management
• Data-Driven Models
• Visualization
• Cultural Models
• Multi-Agent Systems
• Economic Complexity
• Information Systems
• Security, Privacy and Trust
• Gaming