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>Austin Wyatt

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Austin Wyatt

Researcher, Full

LinkedIn Profile

Expertise

International Affairs;
Autonomous Military Systems;
Military Transformation;
Science, Technology, and Innovation Policy;
Australia;
Association of Southeast Asian Nations

Austin Wyatt (he/him) is a researcher at RAND Australia. His research focuses on military transformation, remote, and autonomous systems, military applications of AI, and regional security. Wyatt's publications include a number of academic research articles and a book entitled, “Exploring the Disruptive Implications of Lethal Autonomous Weapons Systems In Southeast Asia.”

Education

Ph.D. in political science and military innovation, Australian Catholic University

Authored by Austin Wyatt

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Commentary

Jun 27, 2024

AUKUS Collaboration Throughout the Capability Life Cycle: Implications for Planning, Programming, Budgeting, and Execution Processes

This paper addresses the implications of stronger allied cooperation for the reform of both the U.S. Department of Defense’s planning, programming, budgeting, and execution processes and comparative processes of AUKUS security partnership members.
Report

Jun 21, 2024

The use of AI for improving energy security: Exploring the risks and opportunities of the deployment of AI applications in the electricity system

AI can increase the overall energy security in the electricity system, but the opportunities and risks are not well understood. This report provides insight into the state of the art of AI for the power grid, and the risks and opportunities.
Report

May 8, 2024

Planning, Programming, Budgeting, and Execution in Comparative Organizations: Volume 7, Executive Summary for Additional Case Studies

This executive summary distills key insights from seven case studies of budgeting processes across comparative organizations, as detailed in two companion volumes, and compiles findings from all 16 case studies in the series.
Report

May 8, 2024

Planning, Programming, Budgeting, and Execution in Comparative Organizations: Volume 5, Additional Case Studies of Selected Allied and Partner Nations

In this report — Volume 5 in a seven-volume set of case studies of planning, programming, budgeting, and execution functions — RAND researchers analyze the defense budgeting processes of France, Germany, Japan, Singapore, and Sweden.
Journal Article

May 1, 2024

Understanding How to Scale and Accelerate the Adoption of Robotic and Autonomous Systems Into Deployable Capability: Phase 1—identifying Barriers

No documented wide-scale deployments of fully robotic and functionally autonomous weapon systems exist despite every major military force having a declared interest in them. This paper explores the potential barriers to their widespread adoption.
Report

Feb 6, 2024

Towards AUKUS Collaboration on Responsible Military Artificial Intelligence: Co-Design and Co-Development of AI Among the United States, the UK and Australia

The authors investigate the challenges and barriers that could inhibit or prevent the co-development of artificial intelligence (AI) between the United States and its closest allies and partners.
Report

Jan 23, 2024

Planning, Programming, Budgeting, and Execution in Comparative Organizations: Volume 4, Executive Summary

This executive summary distills key insights from nine case studies of budgeting processes across comparative organizations, as detailed in three companion volumes.
Report

Jan 23, 2024

Planning, Programming, Budgeting, and Execution in Comparative Organizations: Volume 2, Case Studies of Selected Allied and Partner Nations

In this second volume of four reports examining nine case studies of defense budgeting processes across comparative organizations, RAND researchers conducted case studies of the budgeting processes of Australia, Canada, and the United Kingdom.
Commentary

Mar 10, 2023

Is Australia's Defense Strategy Based on a Mistaken Assumption?

The concept of “impactful projection” has become a topic of heightened interest in the Australian strategic discourse, as pundits wait on further information from the Defense Strategic Review. But is the concept underpinned by a fundamentally mistaken assumption?

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