Why don’t decision makers pay more attention to science? Perhaps it’s because scientists don’t pay enough attention to their questions that they are asking. In this talk, I will present an overview of the state of the practice in hydrogeologic analyses. I will point to exciting new efforts to improve our analyses, including the presentation of quantitative uncertainties and the development of application-driven modeling tools. Then I will present a few reasons that these advances are not enough to ensure that science is doing as much as it can to support water-resources decision-making. To improve, we need include the unique benefits of the Wisdom of the Crowd and the Team of Rivals decision making approaches. I will end with some thoughts on how process-based modeling can incorporate these ideas and touch on the opportunities and challenges presented by the emergence of Machine Learning to including these concepts in hydrogeologic analyses.