Responsible Data Science & Analytics Systems

Our world is becoming increasingly digital. Ubiquitous sensors are collecting vast amounts of data about how individuals and groups behave, how machines and equipment work, and how the environment evolves. The RDSA Unit supports this digital transformation of our society and our economy by focusing on the interplay between people, data, computers and the physical world.

The RDSA Unit carries out impact-driven research by combining the power of computers and human capabilities to take better, faster, more robust, fair and trustworthy decisions in our complex and changing world. We study Cyber-Physical-Social Systems (CPSS) to imagine, design, test and develop the next generation of technologies, where computers and humans are smoothly and fairly working together to tackle challenging issues.

Research challenges

The research unit takes up the challenge of how to support the digital transformation of cyber-physical-social systems.

Its research question is: “How to best combine the power of computers and the human capabilities to take better, faster, more robust, fair and trustworthy decisions in our increasingly complex and changing world?”

Its objectives are to:

• Master Analytics and AI and leverage this knowledge to use it properly in technologies for C-P-S Systems
• Master interactive technologies adapted to humans and leverage this knowledge to build technologies for C-P-S Systems
• Master the human factor and knowledge-based AI and leverage this knowledge to build human-aware, cognitive IT technologies for C-P-S Systems.

Research groups

The unit is composed of around 40 scientists, engineers, post-docs and PhD candidates with complementary scientific and technological expertise, structured in 3 groups.

• Trustworthy AI: Focuses on understanding AI in terms that connect to human-established concepts and expertise.
• Visualisation & interaction:  Focuses on novel visualisation & interactive methods and technologies that support human-in-the-loop decision-making and collaboration, and improve human immersion, engagement and involvement in tasks.
• Human Modelling:  Focuses on human-aware cognitive IT technologies combining human modelling with AI  to support learning and decision making, perform machine-reasoning and implementing explainable AI.