DCGS Next Generation: Accelerating Change to Deliver Decision Advantage
By Kelly Borukhovich and Tyler Morton Approximate reading time: 11 minutes Abstract: The DCGS Next Generation (DCGS Next Gen) delivers
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JADC2
War is a Learning Competition: How a Culture of Debrief Can Improve Multi-Domain Operations
The Multi-Domain Operations (MDO) community continues to evolve and progress. MDO is, and will be the fundamental enabler for Joint All-Domain Command and Control (JADC2) and the way our nation fights future wars. As the maturing community integrates new concepts and processes, Multi-Domain Operators must identify and engrain the valuable lessons along the way. Creating a set of standards to capture feedback and drive improvement is vital for development in any organization. The debrief culture of the US Air Force fighter community, among others, is well known for its direct, highly effective feedback and learning methods. This type of focused feedback is important to the fighter community because the debrief is where the majority of learning takes place. The MDO community would benefit greatly by utilizing this debrief culture as a model from which to develop its own unique culture of consistent, iterative improvement. Because a standard day, or sortie-equivalent, is not yet fully fleshed out for Multi-Domain Operators, the purpose of this paper is to convey the necessity for debriefing lessons learned, and provide best practices in their current form. The ultimate objective is to create a foundation for the MDO community to adapt these practices as the details and nuance of its daily execution become more specific and clear.
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Defense Of The Homeland In A New Age, Part III
Editor’s note: The following article is the third of a three-part series discussing necessary advancements which will best enable the Department of Defense to continue to lead during current and future periods of competition. Part I focused on the history of the current threats, Part II outlined areas of defense and civilian research which must be pursued, and Part III delves into the path forward for cohesive, joint application of technology and research.
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Defense Of The Homeland In A New Age, Part II
Editor’s note: The following article is the second of a three-part series discussing necessary advancements which will best enable the Department of Defense to continue to lead during current and future periods of competition. Part I focused on the history of the current threats, Part II outlines areas of defense and civilian research which must be pursued, and Part III delves into the path forward for cohesive, joint application of technology and research.
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Defense Of The Homeland In A New Age, Part I
Editor’s note: The following article is the first of a three-part series discussing necessary advancements which will best enable the Department of Defense to continue to lead during current and future periods of competition. Part I briefly reviews threats America has faced thru history and those which it currently faces across all domains. Part II outlines areas of defense and civilian research which must be pursued, and Part III delves into the path forward for cohesive, joint application of technology and research.
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Dust
Science Fiction has always been a vehicle to the future. In the modern era of conversations about complexity, AI, human machine interfaces, and other exotic ideas, the genre can provide a way to stitch things together. We can take all of these disparate developments, operating concepts, and fuzzy ideas and combine them the same way our ancestors made sense of the word: with a story. At the strategic level, the two nations in conflict here have taken a markedly different approach to developing today’s technological trends. The enemy nation of Donovia has invested heavily in autonomous systems and artificial intelligence (AI), taking a bet that they can teach and grow better algorithms. Christopherson’s side, however, has taken a more balanced approach to integrating AI and autonomy by preserving man-on-the-loop for action and keeping their strategic level AI providing intelligence fusion. Different strategies will influence the future of technology development, but more importantly strategy will dictate how we use those technologies.
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Building Bridges Instead of Breaking Glass: What Past Scientific Revolutions Suggest About Creating Collaborative Transformation
By: Peter Hickman Approximate Reading Time: 15 minutes The Air Force’s Advanced Battle Management System is a transformative effort that
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Human-led Machine Learning & Advanced Threats: Case Method Inquiry and Visual Analytics Applied to COVID-19
In a pervasive and complex information environment, analytics are vital to understanding advanced threats. As we rely more on machine-learnt results, asking the right questions and visualizing deep analysis are key to grasping and solving problems. These skills are also vital 21st century leadership tools that can forge a common focus among otherwise stove-piped specialists.
The COVID-19 pandemic presents an urgent threat that requires both scientific understanding and decisive leadership. The cause of the disease is SARS CoV-2, a mutating virus that thrives in conditions difficult to control at scale. To counter this threat, this article demonstrates in detail the potential of human-led case method and machine-provided visual analytics.
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Joint All Domain Effects Convergence: Evolving C2 Teams
By: Ernest Nisperos Approximate Reading Time: 25 Minutes Abstract This paper aims to generate a tangible construct to complement the
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Artificial Intelligence in the Operational Information Environment: The Need for Proactive Doctrine
Joint operations doctrine omits the agency of artificial intelligence (AI) in the operational information environment, which is a problem. This commentary discusses why, and recommends effective changes. Key points are as follows. AI is becoming an autonomous cause of unanticipated effects. Humans are not the most effectively intelligent actors in all environments, yet our doctrine draws lessons from the past rather than anticipating emergent futures. Machines currently excel in experience-based learning and can discover relationships in data that we cannot discern. Humans can intuit, deceive, somewhat control, and manufacture and destroy machines. In time, AI will be able to perform those cognitive, informational and physical functions as well. As out-thought becomes out-fought, we need proactive doctrine now.
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