Part I · 14 chapters
Approaches
Begin with the analytical tools: data, decisions, models, optimization, forecasting, and the evidence needed to test them.
Browse this partAn edited collection · Second edition, 2024
Edited by Natalie M. Scala
and James P. Howard, II
The methods are only part of the work. Explore the approaches, applications, and professional experience brought together by the handbook’s chapter authors.

Inside the collection
20 chapters 46 chapter authors
Part I · 14 chapters
Begin with the analytical tools: data, decisions, models, optimization, forecasting, and the evidence needed to test them.
Browse this partPart II · 4 chapters
Follow the methods into particular settings, from cybersecurity values and information requirements to readiness and weather.
Browse this partPart III · 2 chapters
Return to the people doing the work: getting a model used and learning from the experience of planning a test.
Browse this partA question worth starting with
19
A model’s place in an organization deserves attention alongside its mathematics. Start with this contribution, then follow the authors and related reading through the collection.
Meet the chapterThe reading room
An edited volume need not be read from cover to cover. These companion notes suggest a few routes through the chapter topics, with questions to carry into the reading and small exercises to bring back from it. They are starting points for your own work, not substitutes for the authors’ contributions.
Data · Forecasting · Validation
Decisions · Uncertainty · Model use
Planning · Assessment · Testing
An authored collection
Find a contributor’s chapters in either edition. Bylines stay attached to the work, and the earlier edition remains a separate record.
Explore the contributor index