The Data Science Lab has been dedicated to fundamental research in AI, data science, shallow to deep learning, applied statistics and complex intelligent systems for two decades, mainly motivated by
AI thinking & data science thinking including scientific novel cognitive paradigms and thinking patterns for AI and data science; creative design, statistical, computational and analytical thinking and mechanisms; and analytics and learning design architectures, frameworks, patterns and exceptions;
Significant real-world X-complexities, X-intelligences, X-informatics, and X-analytics in open complex data, behavior and systems, identified in different domains and areas, in particular, public sector, business, finance, online and living societies, core industries, and socio-economic domains;
Fundamental theoretical gaps and innovation opportunities identified in both existing theoretical systems of statistics, data/intelligence sciences and computing, and to address new and significant theoretical and applied gaps, challenges and problems.