The goal of this workshop is to create a forum for scientists, engineers and practitioners to present, discuss and collaborate on new results/ideas in the intersection of algorithms research, computational sciences, decision sciences and optimization. There is a growing recognition that a variety of use-cases in modern science and engineering, including social sciences and engineering applications, are poised to benefit from fast real-time decision-making capabilities. Increasingly powerful computing technologies are expected to solve optimization and decision science problems that were considered computationally prohibitive for integration within scientific and engineering workflows, especially those needing real-time decision-making capabilities. The workshop encourages topics on the theory, design and applications of novel methods and algorithms for different types of optimization problems that arise within the broader purview of decision-making capabilities in areas such as scientific/engineering workflows, logistics, transportation and urban planning, public health, manufacturing, energy (e.g., electric grids), digital twin systems (e.g., precision agriculture, smart cities, earth systems) operations management, machine learning, finance and others. Both regular papers as well as short position papers describing work-in-progress with innovative ideas related to the workshop topics are being solicited.