Data Science and Analytics

The rate of data production has increased dramatically in recent years. This major trend raises difficult questions about how to effectively use these large and complex datasets to solve concrete problems in the scientific and industrial field. LIST addresses this issue with a combination of complementary approaches: data analytics, artificial intelligence, data visualisation, geoinformatics and augmented reality.

Research groups

• Interactive visualization and Geocomputation
• Data Processing and Statistics
• Embeded assessment
• Knowledge-based and context aware adaptive systems
• Multimodal analytics and multi-user natural interaction
• Business analytics