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FADS welcomes submissions on, but not limited to, the following topics:

Data Science Foundations

  • Machine Learning
  • Mathematical and statistical models
  • Novel theoretical models
  • Computational Models
  • Preprocessing and dimensionality reduction
  • Efficiency and complexity
  • Optimization


  • Multi-stream reasoning and analytics
  • Text analysis and mining
  • Causal inference
  • Visualisation
  • Modelling complex and big data
  • Personalisation analytics and recommender systems
  • Social network analytics
  • Multimedia/image processing and analytics
  • Information retrieval and search
  • Semantic information extraction and reasoning

Data Infrastructure and Management

  • New data standards
  • Data cleansing
  • Data integration
  • Data sharing
  • Data linkage
  • Data curation and publishing
  • Cloud/Grid/Stream Computing architectures
  • Distributed and parallel/high performance processing
  • Data warehouses
  • Open platforms for analytics
  • Big data architectures and platforms

Security, governance and privacy

  • Governance
  • Intrusion, anomaly and threat detection
  • Data integrity
  • Data security and risk
  • Trust and trust management
  • Privacy preserving techniques and anonymisation
  • Privacy protection standards and policies
  • Legal aspects of analytics and big data

Social and economic aspects

  • Ethical considerations in the era of analytics and big data
  • New business models
  • Sociological aspects of analytics and big data
  • Analytics and big data for sustainable development
  • Analytics and big data for the social good
  • Analytics and big data for supporting the Sustainable Development Goals (SDGs)


  • Scientific applications of analytics and big data
  • Internet of Things
  • Internet of Persons
  • Smart Cities and Transport
  • Business and Finance Analytics
  • Healthcare analytics and decision support
  • Decision making and support systems
  • Analytics and big data for policy making and the public sector
  • Social networks and applications
  • Industrial applications of analytics and big data
  • Analytics for telecommunications and networks applications