MIDAS advances cross-cutting research in data science theory, methodology and applications. We provide leadership in research best practices, including reproducible data science and ethical data science. We enable research through pilot funding, training and dataset access. We facilitate groundbreaking ideas and foster collaboration through research working groups and other research incubation events. This page is an overview of data science resources at MIDAS and elsewhere on U-M campus, at various stages of research.