Automating Data Science: the Next Frontiers.

its impact continues to grow as high-throughput technologies are being developed,business models are being adapted, and new opportunities for exploiting data for societalpurposes are being developed. Today, the uptake of data science in practice is hinderedmostly by a growing skills gap. Indeed, the application of data science techniques stillrequires sophisticated and rapidly evolving technical skills, and the demand for such skillsgrows faster than the suitably trained workforce. This project aims to address this skillsgap by developing novel principles for automating data science tasks that today seem tooopen-ended, too domain-dependent, or involve data that is too complex, to allow doingso.

Keywords:Data Science, Automation, Artificial Intelligence, Constraint Learning, User modeling

Disciplines:Machine learning and decision making, Data mining, Knowledge representation and reasoning, Artificial intelligence not elsewhere classified, Sports sciences