Feb 22

Areas of Interest

Methodology Papers/Posters

Focus on algorithmic or methodological innovations that are relevant to one or more application areas or hold the potential for one or more applications. The authors should clearly specify the (potential) application of their work. We also invite papers that have a data visualization component.

Earth & Environmental Systems Applications

  • Climate and ecology data sciences
  • Climate modeling
  • Sustainability
  • Geographic information systems
  • Geospatial intelligence
  • Spatio-temporal data mining
  • Visual analytics for earth science data
  • High-performance computing applications
  • Evaluation or validation techniques

Space Science Applications

  • On-board and real-time machine learning
  • Decision making under uncertainty
  • Constraint-driven data mining and machine learning
  • Event mining and robotic telescopes
  • Unsupervised and supervised learning in astrophysics
  • Highly scalable algorithms
  • Risk management in space missions
  • Classification in large sky surveys

Aerospace and Engineering Systems

  • Related government engineering applications (DOE, DOD, others)
  • Systems health applications
  • Anomaly detection, diagnostics, and prognostics from large data sets
  • Text mining in aerospace information systems
  • Data driven reliability modeling
  • Adaptive system monitoring
  • System model identification
  • Large data set challenges
  • Exploratory mining of aerospace data
  • Privacy and security issues in aerospace data
  • Statistical process control using very large datasets


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