Knowledge curation involves acquiring information from many sources; triaging it as unimportant, contextual, or actionable; identifying factors and causal links; finding associated datasets; and developing metrics with which to measure objectives. Despite being a vital step in the decision-making process, knowledge curation is usually done by hand, which means analysts and decision-makers often miss important factors in complicated socioeconomic systems. DARPA’s Collaborative Knowledge Curation (CKC) Advanced Research Concepts (ARC) opportunity solicits ideas to explore the following question: How can we partially automate knowledge curation to help analysts and decision-makers gain and maintain awareness in complicated, interdependent systems?