AF DCGS Next Generation: Transformation for Great Power Competition

Abstract: The AF DCGS is in the midst of the most significant transformation it has seen since its inception in the mid-1990s. Primarily driven by the need to find a way to more efficiently process the glut of data now available to the intelligence community, the AF DCGS transformation to the problem-centric model of analysis is already paying major dividends in the Enterprise’s ability to provide enhanced intelligence to its customers. This article discusses the transformation and describes in detail how the AF DCGS is now oriented to prepare the air component for great power competition.

Read more

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.

Read more

Math Wars: The Myths of Quantitative Analysis

Quantitative analysis is a powerful tool, but it will never precisely solve the riddle of warfare despite repeated promises to the contrary.

Read more