Partner With Us

Call for Projects

The Institute for Data Science and Analytics 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.

Our Mission

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

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Predictive Modeling & Machine Learning

Build intelligent systems that learn from data

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Data Visualization & Decision Support

Transform complex data into actionable insights

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Business Intelligence & Optimization

Streamline processes and drive efficiency

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Healthcare Analytics & Bioinformatics

Advance medical research and patient care

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Social, Economic & Policy Analysis

Address community challenges with data

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Cloud Computing & AI Applications

Leverage big data infrastructure and AI

Who can participate?

1

Industry & Community Partners

Seeking collaboration on data-related problems

2

UM-Flint Faculty

Wishing to integrate projects into teaching or research

3

Student Teams

Undergraduate or graduate students interested in applied problem-solving

Project Requirements

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Duration

8-12 weeks

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Student Commitment

~10 hours per week per student

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Deliverables

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

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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)

Why partner with us?

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Expert Guidance

Faculty supervision and academic rigor

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Talented Students

Motivated teams eager to solve real problems

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University Resources

Access to computational infrastructure and tools

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Fresh Perspectives

Innovative approaches to complex challenges

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Data-Driven Solutions

Evidence-based insights and recommendations

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Community Impact

Contribute to student learning and regional development

Ready to start a project?

Let's collaborate on data-driven solutions that make a real difference.