7^th International Conference on Data Science and Applications (DSA 2026)

November 27 ~ 28, 2026, Zurich, Switzerland

Scope & Topics

7^th International Conference on Data Science and Applications (DSA 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Applications.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Topics of interest include, but are not limited to, the following

• Big Data Algorithms , Applications , Fundamentals
  
• Big Data Management and Frameworks
  
• Big Data Search, Big Data Security
  
• Bioinformatics and Biometrics
  
• Consistent Data Model
  
• Data and Knowledge Representation
  
• Data Streams Mining
  
• Graph Mining
  
• Spatial Data Mining
  
• Temporal and Time‑Series Mining
  
• Databases , Vector Databases
  
• Approximate Nearest Neighbor Search
  
• High‑Dimensional Indexing
  
• Deep Learning
  
• Foundation Models for Data Science
  
• Domain‑Specific Foundation Models
  
• Cross‑Modal Foundation Models
  
• Generative AI for Data Mining
  
• Synthetic Data Generation
  
• Generative Feature Engineering
  
• Exploring Data Analysis
  
• Financial Modeling
  
• Forecasting, Classification, Clustering
  
• Image Analysis
  
• Inference, Prediction and Knowledge Consolidation
  
• Causal Inference, Discovery
  
• Counterfactual Modeling
  
• Graph Neural Networks
  
• Graph Representation Learning
  
• Graph Foundation Models
  
• Multimodal Learning
  
• Cross‑Modal Retrieval
  
• Unified Multimodal Embeddings
  
• AutoML
  
• Automated Feature Engineering
  
• Pipeline Optimization
  
• Responsible AI
  
• Fairness in Data Science
  
• Bias Detection and Mitigation
  
• Federated Learning
  
• Privacy‑Preserving Data Mining
  
• Secure Multi‑Party Computation
  
• Real‑Time Streaming Analytics
  
• Event‑Driven Data Processing
  
• High‑Velocity Data Pipelines
  
• Knowledge Graphs , KG Embeddings , KG‑Driven Reasoning
  
• Edge‑AI
  
• On‑Device Data Processing
  
• TinyML for Data Science
  
• Cybersecurity Data Science
  
• Threat Intelligence Mining
  
• Anomaly Detection at Scale
  
• Explainable AI
  
• Interpretable Models
  
• Transparent Data Mining
  
• Learning in Knowledge‑Intensive Systems
  
• Learning Problems
  
• Machine Learning Applications
  
• Mining from Low‑Quality Information Sources
  
• Mining Trends, Opportunities and Risks
  
• OLAP and Data Mining
  
• Parallel and Distributed Data Mining Algorithms
  
• Pre‑Processing Techniques and Visualization
  
• Security and Information Hiding in Data Mining
  
• Social Networks Mining
  
• Educational Data Mining
  
• Text, Video, Multimedia Data Mining
  
• Web Mining
  
• RAG‑Driven Data Mining
  
• RAG‑Enhanced Analytics Pipelines
  
• RAG for Enterprise Data Systems
  
• LLM Benchmarking and Evaluation
  
• Dataset Design for LLMs
  
• LLM Robustness Testing
  
• Autonomous Systems Data Analytics
  
• Sensor Fusion for Autonomous Systems
  
• Real‑Time Decision Intelligence
  
• Climate Data Science
  
• Environmental Modeling
  
• ESG Analytics
  
• Precision Medicine Analytics
  
• Clinical Decision Support Models
  
• Medical Foundation Models
  
• Robotics Data Science
  
• Human‑Robot Interaction Analytics
  
• Robot Learning from Data
  
• Smart City Data Science
  
• Urban Computing
  
• Large‑Scale Sensor Analytics
  
• Digital Twin Analytics
  
• Twin‑Driven Prediction Models
  
• Twin‑Based Simulation Data Mining
  
• Edge‑Cloud Collaborative Analytics
  
• Distributed Model Serving
  
• Latency‑Aware Data Processing
  
• Blockchain Data Analytics
  
• Web3 Data Mining
  
• Smart Contract Data Analysis
  
• Quantum Data Science
  
• Quantum Machine Learning
  
• Hybrid Quantum‑Classical Analytics

Paper Submission

Authors are invited to submit papers through the conference Submission System by October 03, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DSA 2026, after further revisions, will be published in the special issue of the following journals.

• Machine Learning and Applications: An International Journal (MLAIJ)
  
• International Journal of Database Management Systems (IJDMS)
  
• International Journal of Data Mining & Knowledge Management Process (IJDKP)
  
• The International Journal of Multimedia & Its Applications (IJMA)
  
• International Journal of Web & Semantic Technology (IJWesT)
  
  

Important Dates

Co - Located Event

• 17^th International Conference on VLSI (VLSI 2026)
  
• 18^th International Conference on Web services & Semantic Technology (WeST 2026)
  
• 16^th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2026)
  
• 16^th International Conference on Digital Image Processing and Pattern Recognition (DPPR 2026)
  
• 16^th International Conference on Peer-to-Peer Networks and Trust Management (P2PTM 2026)
  
• 13^th International Conference on Computer Networks & Data Communications (CNDC 2026)
  
• 12^th International Conference on Software Security (ICSS 2026)
  
• 16^th International Conference on Advances in Computing and Information Technology (ACITY 2026)
  
• 7^th International Conference on Internet of Things & Embedded Systems (IoTE 2026)
  
• 7^th International Conference on NLP Techniques and Applications (NLPTA 2026)
  

***** The invited talk proposals can be submitted to dsa@aiaa2026.org