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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