Folks! Get your high impact work out to the masses! Help decision makers learn OR and analytics!
Questions? Interested? email me: nscala@towson.edu
Here's the full call:
This series aims to provide concise (typically ~50,000 words) and accessible introductions to mathematical and analytical topics that support decision making in operations research, analytics, and related emerging fields. Books in the series offer a focused primer with illustrative examples or applications that help readers understand how key ideas translate into practice. Each volume is designed for professionals, applied researchers, and students who benefit from conceptual clarity and practical insight without requiring an advanced mathematical background.
The series is open to proposals across the full breadth of operations research and analytics-including mathematical analysis, optimization, modeling, simulation, linear and nonlinear programming, and machine learning-as well as adjacent and emerging areas where quantitative methods support decisions. These include AI-enabled decision systems, human–AI collaboration, explainable and responsible AI, socio-technical risk and security analytics, cyber-physical system modeling, supply chain resilience, public-sector and policy analytics, sustainability and climate-related decision tools, digital transformation and Industry 4.0 applications, and other domains where applied modeling drives impact. Proposals that demonstrate clear practitioner relevance or meaningful applied benefit are especially encouraged.
The goal of this series is to make analytics, OR, and related quantitative tools accessible and actionable for a wide audience. Effective implementation in industry or policy settings requires that decision makers understand what these models do, when to use them, and how to interpret results. While a deep mathematical treatment is not required, an appreciation of each method's uses, goals, assumptions, and benefits is essential. This series helps bridge that gap by providing approachable overviews, applied illustrations, and practical implementation guidance, including common pitfalls, limitations, and recommended practices.
Interested authors may submit an initial proposal. Proposals that receive initial approval from the Series Editors are then referred to CRC Press for full review. Authors in this series earn royalties based on sales, and the concise format offers a manageable path for both academics and practitioners to publish applied, high-impact work.
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Natalie Scala
Professor and Cyber Fellow
Towson University
Towson MD
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