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Making Operations Research More Accessible: Insights from the Rise of Machine Learning

Author

Listed:
  • Tho V. Le

    (School of Engineering Technology, Purdue University, West Lafayette, Indiana 47906)

  • Laura A. Albert

    (Department of Industrial & Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706)

  • Thibaut Vidal

    (Department of Mathematics & Industrial Engineering, Polytechnique Montréal, Montréal, Quebec H3T 0A3, Canada)

Abstract

Operations research (OR) has evolved over the past 50 years into a versatile field with broad applications. However, its growth has been overshadowed by the rapid rise of machine learning (ML), which has seen widespread industry adoption and integration into numerous academic programs. Despite its powerful decision-making capabilities, OR is often perceived as a niche discipline, with accessibility challenges limiting its broader adoption. This paper explores how the field can reach a wider audience by drawing lessons from ML’s global success. We propose a set of recommendations to modernize outreach, increase public awareness, and refine research and technology strategies. Our action plan outlines 10 targeted initiatives to enhance visibility and engagement. By adopting these recommendations, stakeholders can help revitalize OR, ensuring its continued growth and relevance.

Suggested Citation

  • Tho V. Le & Laura A. Albert & Thibaut Vidal, 2026. "Making Operations Research More Accessible: Insights from the Rise of Machine Learning," INFORMS Joural on Data Science, INFORMS, vol. 5(1), pages 1-13, January.
    • Handle: RePEc:inm:orijds:v:5:y:2026:i:1:p:1-13
    DOI: 10.1287/ijds.2025.0076
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    References listed on IDEAS

    as
    1. Herbert A. Simon, 1987. "Two Heads Are Better than One: The Collaboration between AI and OR," Interfaces, INFORMS, vol. 17(4), pages 8-15, August.
    2. Justin J. Boutilier & Timothy C. Y. Chan, 2023. "Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 64-83, January.
    3. Fotios Petropoulos & Gilbert Laporte & Emel Aktas & Sibel A. Alumur & Claudia Archetti & Hayriye Ayhan & Maria Battarra & Julia A. Bennell & Jean-Marie Bourjolly & John E. Boylan & Michèle Breton & Da, 2024. "Operational Research: methods and applications," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 75(3), pages 423-617, March.
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