Journal of Big Data is calling for submissions to our Collection on 'Big Data and Artificial Intelligence in Emerging Scientific Fields.' The aim of this Collection is to shed the newest light on the problems in science that could be effectively solved only with the application of Big Data techniques enhanced with the appropriate artificial intelligence algorithms.
The scope of the invited articles is wide, and includes research results not only in the domain of algorithms and methods, but also in the domain of arhitectures and infrastructures. In addition to research articles, survey articles with deep messages are also welcome. The topics covered include all aspects of natural and life sciences, with informatics and heritage-preservation sciences, as well. More specifically, articles are welcome from a wide plethora of disciplines: geophysics, physics, chemistry, biology, genomics, medicine, data science.
Each research article should include the following issues explicitly:
A. What is the problem, why is it important, and why will its importance grow over time
B. What is the best existing solution of that problem, and what are its drawbacks, looking from the viewpoint of interest for this research
C. What is the proposed solution of your article, and why is it expected not to have the drawbacks of the best existing solution
D. What have you done to demonstrate the superiority of your proposed solution, for how much is it better, under what conditions, and what is the performance/complexity ratio of your proposed solution.
The survey articles should include a taxonomy, a methodologically uniform presentation of all presented solutions to the given problem, as well as deep conclusion about possible future development trends.