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.
Ideation
Research pitch (the next episode coming soon)
Connecting with collaborators
Please email MIDAS if you would like us to connect you with new collaborators
Data acquisition & Research
Dataset access:
MIDAS, ICPSR, the U-M libraries
Campus resources:
CSCAR and ARC consulting
Data processing & Analysis
Campus resources:
CSCAR and ARC consulting
ISR coder space
