Each year, Gurobi surveys its commercial user base for insights into how organizations are using optimization across industries. But our commitment to the field extends beyond enterprise—we provide free access to our solver and full suite of learning resources to support the academic community. This year, we turned our surveying lens there too, looking at how students, faculty, and researchers are shaping the future of the field.
In our inaugural State of Mathematical Optimization in Academia Report, we examine how optimization is being taught, researched, and applied in academic settings across the globe, and how other technologies like generative AI are beginning to shape that picture.
What’s Inside?
Based on our surveys of over 1,180 students and faculty, this report highlights:
How academics are using solvers like Gurobi to teach and learn optimization
Which problem types show up most in coursework and research
How genAI is impacting research, report writing, and more
Where academics see the biggest potential for combining genAI with optimization
Download the Full Report
Explore these findings and more to see how optimization is being learned and taught across classrooms today, and how genAI and open-source tools can help make optimization more accessible to a broader range of users.
Fill out the form to receive your copy of the 2026 State of Mathematical Optimization in Academia Report today.
