Book/Printed Material Forecasting demand for U.S. ground forces : assessing future trends in armed conflict and U.S. military interventions Forecasting demand for United States ground forces

Title

• Forecasting demand for U.S. ground forces : assessing future trends in armed conflict and U.S. military interventions

Other Title

• Forecasting demand for United States ground forces

Summary

• To defend against potential threats, the U.S. Army devotes significant resources to strategic and operational planning. This planning is an exercise in risk management across the wide array of potential threats facing the United States. Military planners need tools that leverage emergent trends in the global geostrategic environment to forecast future contingencies to preemptively build, shape, and prepare U.S. forces for the kinds of missions they are most likely to encounter in the future and for the contingencies that pose the greatest strategic risk to the United States. This report provides empirically grounded assessments of potential future demands for U.S. ground forces. It does so by presenting a dynamic forecasting model that projects future U.S. ground interventions in a range of scenarios through the year 2040. The model the authors have developed incorporates annual projections of opportunities for U.S. intervention-including armed conflicts and their aftermath-and U.S. ground interventions themselves for each year in the 2017-2040 time frame. The authors present three main types of projections: trends in the future operating environment, including the incidence of interstate wars and intrastate conflicts; future U.S. ground interventions, including those involving deterrence, combat, and stabilization activities; and the anticipated average force requirements for those interventions. This analysis identifies key factors that can serve as early warning indicators of future conflicts and provides an improved empirical basis for estimating the frequency, magnitude, duration, and overlap of future contingencies.

Names

• Lane, Matthew (Political scientist), author
• Chandler, Nathan, 1982- author
• Frederick, Bryan A., author
• Kavanagh, Jennifer, 1981- author
• Smith, Meagan L., author
• Watts, Stephen (Stephen Baldwin), author
• United States. Army
• Arroyo Center. Strategy, Doctrine, and Resources Program
• Rand Corporation

Created / Published

• Santa Monica, Calif. : RAND Corporation, [2022]

Contents

• CHAPTER ONE: Introduction -- CHAPTER TWO: Historical Trends in Armed Conflict and U.S. Ground Interventions -- CHAPTER THREE: Methodology for Forecasting Future Armed Conflicts and U.S. Ground Interventions -- CHAPTER FOUR: Future Demand for U.S. Ground Forces : Forecasts of Armed Conflicts and U.S. Military Interventions -- CHAPTER FIVE: Conclusions and Implications for U.S. Army Force Planning -- APPENDIX A: Historical Force Requirements Coding Methodology and Notes -- APPENDIX B: Forecasting Model Assumptions, Components, and Processes -- APPENDIX C: Results of Alternative Future Scenario Forecasting Models.

Headings

• -  United States.--Army--Operational readiness--Mathematical models
• -  United States.--Army--Operational readiness--Planning
• -  United States.--Army--Personnel management
• -  United States--Military policy--21st century

Notes

• -  "Prepared for the United States Army"
• -  "RAND ARROYO CENTER"
• -  Includes bibliographical references (pages 223-232).
• -  See also RAND/TL-365-A
• -  Description based on print version record; resource not viewed.

Medium

• 1 electronic resource (xxix, 232 pages )

Call Number/Physical Location

• MLCM 2023/43493 (U)

Digital Id

• https://hdl.loc.gov/loc.gdc/gdcebookspublic.2024739150

Library of Congress Control Number

• 2024739150

Rights Advisory

• This is non-restricted, fully open content that may be accessed on and off of the Library of Congress campus, with no restrictions, by an unlimited number of users

Access Advisory

• Unrestricted online access

Online Format

• image
• pdf

LCCN Permalink

• https://lccn.loc.gov/2024739150

Additional Metadata Formats

• MARCXML Record
• MODS Record
• Dublin Core Record