Forecasting Demand for U.S. Ground Forces

An Interactive Tool

Bryan Frederick, Jennifer Kavanagh, Matthew Lane

ToolPublished Jul 6, 2022

This interactive tool uses a dynamic forecasting model to project future demand for U.S. ground forces. The model provides projections of trends in (1) the future operating environment, including the incidence of interstate war and intrastate conflict, (2) future U.S. ground interventions, and (3) the anticipated force requirements for these interventions. Users of the tool can then define their own future scenarios by selecting alternative values of a number of key parameters of the model including both those that relate to key U.S. policy decisions (e.g. U.S. military size and spending, U.S. overseas force posture, and U.S. alliances), as well as those that relate to how key aspects of the international order may evolve (e.g. trends in the global trading system and in the extent of democratization). The resulting forecasts can help military manage risk across different potential strategic and operational concerns and inform decisions regarding future force planning, posture, and investments.

Topics

Document Details

Citation

RAND Style Manual
Frederick, Bryan, Jennifer Kavanagh, and Matthew Lane, Forecasting Demand for U.S. Ground Forces: An Interactive Tool, RAND Corporation, TL-365-A, 2022. As of September 15, 2024: https://www.rand.org/pubs/tools/TL365.html
Chicago Manual of Style
Frederick, Bryan, Jennifer Kavanagh, and Matthew Lane, Forecasting Demand for U.S. Ground Forces: An Interactive Tool. Santa Monica, CA: RAND Corporation, 2022. https://www.rand.org/pubs/tools/TL365.html.
BibTeX RIS

Research conducted by

This research was sponsored by the United States Army and conducted by the Strategy, Doctrine, and Resources Program within RAND Arroyo Center.

This publication is part of the RAND tool series. RAND tools include models, databases, calculators, computer code, GIS mapping tools, practitioner guidelines, web applications, and various other toolkits and applied research products. All RAND tools undergo rigorous peer review to ensure both high data standards and appropriate methodology in keeping with RAND's commitment to quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.