Call for Projects

The Institute of Data Engineering, Analytics and Science at the University of Michigan–Flint is excited to invite proposals for collaborative projects with industry and community partners.

This call aims to bring together academic expertise and real-world challenges, creating meaningful opportunities for students and faculty to apply their knowledge while generating valuable impact for our partners.

Introduction & Purpose

Applied Research

Real-world projects that advance knowledge

Innovation

Cutting-edge solutions to complex challenges

Experiential Learning

Students gain hands-on experience

We foster applied research, innovation and experiential learning opportunities for students and faculty, while delivering practical, data-driven solutions to our partners.

Scope & Focus Areas

We invite proposals that leverage data science, analytics and software engineering to address real-world challenges

Predictive Modeling & Machine Learning

Build intelligent systems that learn from data

Data Visualization & Decision Support

Transform complex data into actionable insights

Business Intelligence & Optimization

Streamline processes and drive efficiency

Healthcare Analytics & Bioinformatics

Advance medical research and patient care

Social, Economic & Policy Analysis

Address community challenges with data

Cloud Computing & AI Applications

Leverage big data infrastructure and AI

Who can participate?

Industry & Community Partners

UM-Flint Faculty

Student Teams

Project Requirements

Duration

Student Commitment

~10 hours per week per student

Deliverables

Clearly defined outputs (prototype, report, dashboard, model)

Partner Support

Access to relevant data and mentorship

Submission Process

Interested partners are invited to submit a Project Proposal including:

  1. Project title and description
  2. Problem statement and objectives
  3. Expected deliverables
  4. Timeline and milestones
  5. Required skills or tools (if any)

Send your proposal to flint.ideas@umich.edu

Why partner with us?

Expert Guidance

Faculty supervision and academic rigor

Talented Students

Motivated teams eager to solve real problems

University Resources

Access to computational infrastructure and tools

Fresh Perspectives

Innovative approaches to complex challenges

Data-Driven Solutions

Evidence-based insights and recommendations

Community Impact

Contribute to student learning and regional development

Ready to start a project?