Breakthroughs in computational resources and digital datasets are revolutionizing scientific research, with the past three decades having seen advances of about nine orders of magnitude in computing capability, along with deep advances in computational algorithms. These developments are enabling computational and multiscale simulations of unprecedented breadth and accuracy, and simultaneous progress in digital data collection technology is resulting in enormous datasets being generated routinely by scientific experiments and observations of natural phenomena. Thus a a scientific revolution is unfolding in the scope, use, and production of data.

In recognition of the importance of fundamental mathematical and statistical science (MSS) and research in this field of computational and data-enabled science and engineering (CDS&E), the NSF’s Division of Mathematical Sciences and Office of Cyberinfrastructure have launched a new program.  The CDS&E-MSS program in DMS supports fundamental research at the core of this emerging discipline, whose goal is to promote the creation, development, and application of the next generation of mathematical and statistical theories and tools essential to addressing the challenges presented by the ever-expanding role of computational modeling and simulation as well as the explosion in the production of digital and observational data.

More details can be found on the NSF website.