Research in Data Science

Data Science is a multi-disciplinary field that capitalizes on theories, methods, techniques, and algorithms from information technology (ICT), including visualization and machine learning. Data Science builds upon a foundation of theories from computer science, mathematics (in particular statistics), and social sciences, etc., to enable a large variety of applications, including predictive analytics and business intelligence, data-driven sciences (big data science), and artificial intelligence. Data Science and Artificial Intelligence are two tightly related fields, sharing major research challenges and resulting technologies, with machine learning as a notably prominent example. Teaching computers human-like, intelligent behavior is increasingly often achieved by letting AI systems learn from large and rich data, critically depending on know-how and skills from data science. About CEDAS and Data Science: In order to coordinate, strengthen, and prioritize local research efforts in data science, we are operating and extending a new research center for data science, CEDAS, together with a growing number of partners.