Speaker: Sarah K. Burns, Institute for Defense Analyses
The abundance of large and complex data, coupled with powerful modeling techniques and analytic methods, creates tremendous opportunity for organizations and individuals to base their decisions on empirical evidence. However, to appreciate both the capabilities and limitations of these data and tools, decision makers need some understanding of data science principles. On September 14, 2017, the National Academies held a symposium ondata-driven decision making in Washington, DC. The event highlighted simple principles that can support data-driven decision making and help decision makers learn the right questions to ask when presented with new analyses.