Research
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.
Our Research 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.
Funded Projects
Explore Projects
Communities of Practice
Explore our COmmunitiesResearch Resources
MIDAS provides resources to support projects through the entire life cycle of research, from skills training to publishing.
See how MIDAS can help each phase of your research project thrive:
1. Skill Building
MIDAS Workshops and Bootcamps
Data Science Classes
Campus Resources: CSCAR Workshops
2. Ideation
MIDAS Working Groups
Faculty Research Pitch
Connecting with Collaborators: Please email MIDAS if you would like us to connect you with new collaborators
3. Funding
Propelling Original Data Science (PODS) Grants
Proposal Support
Industry and Foundation Funding
4. Data Acquisition & Research
Dataset Access MIDAS, ICSPR, & U-M Libraries
Reproducible Research
Campus Resources: CSCAR and ARC Consulting
5. Data Processing & Analysis
Reproducible Research
Campus Resources: CSCAR and ARC Consulting, ISR Coder Space
6. Dissemination
Seminar Series
Annual Symposia
Campus Resources: Deep Blue, ICPSR
