EPJ Data Science (ISSN: 2193-1127)

Description

The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.
EPJ Data Science offers a publication platform to address this evolution by bringing together all academic disciplines concerned with the same challenges:
- how to extract meaningful data from systems with ever increasing complexity
- how to analyse them in a way that allows new insights
- how to generate data that is needed but not yet available
- how to find new empirical laws, or more fundamental theories, concerning how any natural or artificial (complex) systems work