We will advance scientific inquiry, the creation and sharing of knowledge, and our understanding of the world by conceiving, developing, and implementing new approaches to the acquisition, management, and analysis of vast data sets.
Advances in computation, modeling, and simulation, coupled with the availability of data at a previously unimagined scale, enable us to quantify and analyze nearly every aspect of the human condition, our Earth, and beyond. This explosion in the quantity of data we now have at our disposal presents us with tremendous possibilities. It is an unprecedented resource that, if harnessed and used to its full potential, will enable us to advance scientific knowledge and spawn wholly new areas of research and economies.
Because of their access to the vast data generated across the Johns Hopkins Institutions and considerable strength in data mining, statistics, machine learning, and pattern recognition, Whiting School of Engineering researchers hold a unique competitive advantage in this arena. Working with colleagues across the university, our engineers already are making huge progress in data acquisition, management, and analysis—work that will be the enabling and transformative technology behind many of the university’s top research priorities. We are leading datadriven initiatives that are providing new insights into the diagnosis and treatment of heart disease, improving our ability to utilize wind energy, and tracking global pandemics. The impact of the new scientific approaches and associated analytical tools will be profound and far-reaching. Ultimately, the Whiting School has the potential to direct national and international priorities and policies in critical areas as diverse as global health, climate change, financial markets, energy, environmental regulation, and cybersecurity.
Digital data has opened a new realm of science that promises to revolutionize how we understand the world. The Whiting School and its partners are poised to create an unprecedented resource for discovery, problem solving, and collaboration and establish our reputation as a world leader in data science.