Topics:

• Artificial Intelligence for Government: Methods and Data Analysis
• Big Data
• Biplots
• Clustering, Classification and Discrimination
• Compositional Data Analysis
• Computer Graphics and Visualization
• Data Fusion
• Data Mining
• Data Science
• Data Science Education
• Data Streams
• Deep Learning
• Knowledge Representation and Discovery
• Dependence Modelling and Copulas
• Dimension Reduction
• Functional Data Analysis
• Generalized Linear Models
• Generative Artificial Intelligence, Explainable Artificial Intelligence (XAI)
• Image Analysis and Computer Vision

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• Information-theoretic Statistical Modelling and Model Selection
• Machine Learning
• Mathematical Foundations of Data Science
• Missing Data Handling
• Model-based Clustering
• Modelling High-Dimensional and Complex Data
• Multiview Learning
• Natural Language Processing
• Optimization in Classification and Clustering
• Pattern Recognition
• Robust Methods
• Social Network Analysis
• Spatial Data Analysis
• Statistical and Econometric Methods
• Statistical Learning and Data Mining
• Symbolic Data Analysis
• Text Mining
• Time Series Analysis
• Web Mining

Applications in:

• Archaeology
• Astronomy
• Biology
• Business and Management
• Climate Change
• Economics
• Education

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• Engineering
• Ethics of AI
• Finance
• Geosciences
• Government
• Industry
• Linguistics

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• Marketing
• Medicine and Health Care
• Musicology
• Neuroscience
• Psychology
• Risk Management
• Social Sciences