Modern computational techniques for everyone
The past decade has seen explosive growth in the application of machine learning, modeling, and other computational techniques to scientific data, but there remain numerous barriers to entry in adopting cutting-edge techniques to large datasets. What are the major science questions that drive the development of computational techniques? What are the promising computational techniques of the coming decade? What are the challenges involved in adopting them to astronomical large datasets? What steps should be taken (and by whom) to make it easier for the community at large to use current and future techniques?
Proposed by Robert Nikutta (NOAO)