Research At MIDAS

Research at MIDAS

The Michigan Institute for Data Science (MIDAS) advances cross-cutting research in data science theory, methodology and applications.

Our team:

Provides leadership in research best practices, including reproducible and ethical data science.
Enables research through pilot funding, training and dataset access.
Facilitates groundbreaking ideas and foster collaboration through research working groups and other research incubation events.

Pillars

Our research support focuses on a set of “pillars” at any given time in order to achieve maximum impact, while supporting data science and AI research across the university broadly.

The current pillars are:

Responsible Research: Enhancing Scientific and Societal Impact
Data: Measuring and Improving Society
Analytics: Transforming Health Interventions
AI: AI in Science and Engineering
Emerging: Cultivating New Strengths

Learn more about the MIDAS pillars.

Affiliate Faculty Collaborations

Collaboration diagram: MIDAS affiliated faculty collaborated across 12 schools and colleges for FY2022. The line thickness indicates the extent of collaboration. Source: e-Research submitted proposals for the fiscal year 2022

MIDAS affiliated faculty collaborated across 12 schools and colleges for FY2022. The line thickness indicates the extent of collaboration.
Source: e-Research submitted proposals for the fiscal year 2022