About DARSE

With rapid advances in hardware architecture and software ecosystem, there is a crucial need to modernize applications and leverage the advancements in High Performance Computing (HPC), Artificial Intelligence (AI), Machine Learning (ML) and Data Science. These advancements can only be achieved by creating partnerships between domain scientists and computational experts. 

This project aims to create such partnerships by building a talent pipeline of Research Software Engineers (RSEs) (also called Cyberinfrastructure Professionals (CIP)) who will work closely on real-world applications and advance computational as well data-intensive science in the Mid-Atlantic region. As part of the project we will aim to enhance the recognition, recruitment and retention of RSEs positioning our team as a model for a reliable source of future RSEs. We will do so by offering training, education, certification and career development programs for the RSEs.

 The project is in collaboration with Howard University, Delaware State University, and Lincoln University.  

The Project Goals

Via an inter-institutional initiative, this project will 

(a) identify and create a sustainable and scalable talent pipeline of RSEs to accelerate and enable domain sciences, especially the SBE and CSI domain areas traditionally underserved by RSEs, 

(b) connect RSEs from other initiatives such as NSF ACCESS, SCIPE, and US-RSE to foster a broader network, 

(c) establish a graduate level course and RSE pilot certificate, and 

(d) explore how data-driven ML/AI methods can be applied for problems in domain science