2027 International Conference on Data-Driven Decision Making and AI Innovation

Call for Papers

We invite submissions on previously unpublished research work. Example areas include but are not limited to:

• 1. Data Science, Machine Learning, and Intelligent Computing

  Machine learning and deep learning algorithms

  Intelligent optimization and evolutionary computation

  Big data analytics and distributed computing architectures

  Data mining and knowledge discovery

  Explainable AI and model interpretability

  Reinforcement learning and multi-agent systems

  Time-series forecasting and anomaly detection

  Multimodal learning, computer vision, and graph learning

  Natural language processing, text mining, and information extraction

  Edge intelligence and real-time intelligent processing

• 2. Data-Driven Decision Intelligence and System Optimization

  Intelligent decision support systems and architectures

  Multi-objective optimization and decision-making under uncertainty

  Human-AI collaboration and augmented decision intelligence

  Generative AI and large language models for decision intelligence

  Multi-agent decision systems and distributed decision frameworks

  Real-time decision-making and data stream processing

  Decision knowledge graphs and reasoning engines

  Verification, validation, and evaluation of intelligent decision systems

  Data-driven enterprise decision analytics and optimization for engineering management

  Network Science and Complex Systems Analytics

• 3. Frontier AI and Trustworthy Intelligent Computing

  Generative AI and foundation model engineering

  Agentic AI and autonomous intelligent agents

  Trustworthy AI, robustness, and safety

  Federated learning and privacy-preserving computing

  Computer vision and intelligent perception systems

  Natural language processing and intelligent human-computer interaction

  AI as a service and cloud-native intelligence architectures

  Industrial AI and intelligent manufacturing systems

  Smart city and urban computing

  AI Model optimization, compression, and acceleration

• 4. Cross-Disciplinary Engineering Applications of Data Science and AI

  Intelligent system design and engineering architectures

  Hybrid intelligent systems in engineering domains

  Data-knowledge fusion methods

  AIoT and edge intelligence systems

  Digital twins and intelligent simulation

  Autonomous systems and robotic intelligence

  Intelligent transportation systems and collaborative optimization

  Financial data analytics and intelligent risk control

  Intelligent supply chain planning and resource scheduling

  Digital project management and intelligent monitoring

All accepted and registered papers will be included in the conference proceedings, and will be submitted to EI Compendex, Scopus for indexing.

All submissions must be in English, and adhere to the template format in the conference website.

The conference accepts paper submissions via email at ddmai@acamail.org.