Professor Rundensteiner's research focuses on how to make use of data and information in an effective manner, towards achieving goals in business, scientific discovery, and digital health. With the inter-connectivity of the internet, the availability of computing power, and big data everywhere, access to the right piece of information at the right moment, fused together from numerous information sources, is at the core of critical capabilities that she has been developing. Her work includes developing big data, machine learning and data visualization technologies to discover and explore important insights in massive data sets and real-time data streams in applications from fraud detection, digital health, emergency management, business intelligence, to event analytics.