With an overwhelming amount of digitally generated data in the modern era, there is immense potential for deriving useful insights from such data to enable more informed decision-making processes. Advanced Data Science makes use of statistical and computational algorithms in combination with domain-specific knowledge to convert complex data sets into actionable knowledge. On the other hand, Predictive Analytics uses both past data and current data to foresee future trends, patterns, and developments in order to make more effective decisions. Both Advanced Data Science and Predictive Analytics have been proven effective in enabling efficiency, optimal resource allocation, risk management, and strategic planning in fields like healthcare, economics, business, engineering, and public policy among others. The Journal of Advanced Data Science and Computational Intelligence encourages submissions dealing with the development and implementation of advanced data science and predictive analysis practices.