Data-Driven Computational Intelligence for Scientific Programming

In recent years, big data and its potential to shed valued insights into enhanced decision-making processes has attracted an increasing interest from both academia and industry. Throughout history, there have been eras that have marked turning points in society. Currently, we are faced with the beginning of one of these turning points, a new leap in evolution which arises thanks to the advantages of technology, but which has recently been revolutionizing technical concepts of development and programming. We are in a new age, the era of Data [1].