This project proposes a comprehensive investigation into the metrics and methodologies used to define EDTs. By exploring a range of scientific, economic, and strategic criteria, the project will develop a robust framework that can be applied across sectors to identify and monitor technologies with the potential to disrupt national security landscapes.

Objectives

• Investigate existing frameworks, metrics, and methodologies used in various industries, academia, and by national security organizations to define EDTs.
• Propose a set of comprehensive, multi-dimensional metrics that combine factors such as technology maturity, adoption rate, potential impact, and level of disruption.
• Develop methodologies for evaluating the long-term risks and opportunities posed by EDTs, particularly in the context of national security.
• Validate these metrics and methodologies through case studies of historical EDTs (e.g., quantum computing, AI, 5G) and emerging technologies in key sectors.

Requirements

• Strong Interest in Cybersecurity and Defense Topics
• Experience in Data Science and Data Analytics
• Experience in at least one programming language (e.g.,Python)
• Strong problem solving and analytics skills
• Mindset to learn new skills