The innovative strength of DASHH results from the tight interdisciplinary coupling between leading researchers from natural science, computer science and applied mathematics. The data and information challenges posed by the natural and engineering sciences form a new playground and pool of intellectually interesting problems for data and computer scientists. Data science makes use of many areas of modern computer science and mathematics including signal processing (images, acoustics), algorithm design, machine learning, data management and large scale distributed computing as well as practical aspects like software engineering. DASHH connects highly motivated researchers with matching interests, defining their interdisciplinary research themes under a broader topical umbrella.