Rapid response evaluation and support for decisionmaking
“Big data” offers more options for the continuous measurement and assessment of data needed for effective rapid-cycle innovation and evaluation of policies and programs. Our data scientists and content experts help clients determine how to use that data through iterative research design and development. Through this process, we can devise interventions that are testable and that can be shown to work.
Data-driven decisionmaking requires access to large volumes of heterogeneous data. A toolset of diverse methods—ranging from traditional statistical inference to machine learning, artificial intelligence, and text mining—ensures that these data can be appropriately processed and analyzed. At AIR, we use reports and visualizations to effectively communicate results and inform decisionmaking.