"Encourage adventurous ideas that generate new paradigms and that create and apply novel techniques, generating and utilizing digital data in innovative ways to complement or dramatically enhance traditional computational, experimental, observational, and theoretical tools for scientific discovery and application."
"Astronomy (AST): CDS&E encompasses those areas of inquiry where significant progress is critically dependent upon the application of new computational... software, or algorithms... CDS&E encompasses... research into the nature of algorithms and techniques that can be both enabled by data and enable more data-intensive research."
Other thoughts:
emphasize interdisciplinary nature in terms of overlap with cutting-edge statistical methods (maybe even throw some machine learning buzzwords in there)
support general narrative that classic methods aren't working for EPRV and we want to reframe these problems in terms of modern statistical methods
Here are the relevant bits from the call:
"Encourage adventurous ideas that generate new paradigms and that create and apply novel techniques, generating and utilizing digital data in innovative ways to complement or dramatically enhance traditional computational, experimental, observational, and theoretical tools for scientific discovery and application."
"Astronomy (AST): CDS&E encompasses those areas of inquiry where significant progress is critically dependent upon the application of new computational... software, or algorithms... CDS&E encompasses... research into the nature of algorithms and techniques that can be both enabled by data and enable more data-intensive research."
Other thoughts: