We develop and demonstrate the use of high-throughput and data-driven strategies to accelerate the investigation of new DES formulations. This work demonstrates new methods to accelerate the collection of key DES metrics, providing data to formulate robust property prediction models and obtaining insight on interactions between molecular components.  Moreover, these approaches can also be extended to tackle other materials challenges with large molecular design spaces.