In the past 30 months, we have developed two open souce softwares, GALORE and SUMO which can be used to rapidly compare experimental electronic structure measurements with our calculations, accelerating the feedback loop between experiement and simulation, and aiding materials design. We have used a data-driven approach which marries data minining with chemical analogy and chemical heuristics to screen for a range of mixed anion systems, and have predicted 87 new mixed anion semiconductors, with properties ranging from metallic conductivity to optical transparency. We have been validating our computational predictions via a network of experimental collaborators, with 15 new materials experimentally validiated thus far. Therefore DISCOVER is contributing new understanding to the field of mixed anion systems, and we are actively seeking to understand how we an use this understanding to predict application suitability. Overall this work has yielded 12 publications with many more in development.