International Meeting on "high-Dimensional Data-Driven Science" (HD3-2017)

In the Big Data era, high-dimensional data-driven science (HD3 Science) has attracted considerable attention. In natural science, highly advanced experimental and measurement technologies yield high-dimensional data intractable for conventional analyses based on researchers’ intuition. However, recent progress in information science provides a variety of methodologies through which the problems of high-dimensional data are addressed. The scientific principle of HD3 Science is to establish a universal modeling platform where the motivation of natural science is smoothly conveyed with high-dimensional data to information science. The previous meeting for HD3-2015 focused on “sparse modeling” as a principal component of the platform and its wide application to nuclear magnetic resonance spectroscopy in chemistry, magnetic resonance imaging in medicine, and astronomical interferometry in astronomy.