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.

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.

The current pillars are: 

  1. Responsible Research Pillar: Enhancing Scientific and Societal Impact
  2. Data Pillar: Measuring and Improving Society
  3. Analytics Pillar: Transforming Health Interventions
  4. AI Pillar: AI for Science and Engineering
  5. Emerging Pillar: Cultivating New Strengths

Read more about the MIDAS research pillars

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

Faculty-student Project Catalog

Reproducible Research

Campus Resources: CSCAR and ARC Consulting, ISR Coder Space

6. Dissemination

Seminar Series

Annual Symposia

Campus Resources: Deep Blue, ICPSR

Completed Research Project