Atlas

Methods & Techniques

• Creation of digital prototypes and paper-and-pencil implementations of the ATLAS architecture.
• Utilization of pattern language approaches to structure and communicate knowledge.
• Application of a low-code platform (Coda.io) for developing an alpha version of the COGSEC ATLAS.
• Incorporation of community feedback to refine and extend the knowledge resource.

Key Findings

• ATLAS facilitates the management of complex data sets without requiring fully shared standards.
• The system showcases adaptability in addressing the challenges of information overload and specialization fragility.
• Initial implementations indicate potential for local contributions and extensions to the knowledge resource.
• The ongoing evolution of ATLAS highlights its significance in data analysis and cognitive security.

Prerequisites

• Information security and risk management
• Cognitive science and sensemaking frameworks

🎯 Consulting & Tutoring

Daniel Ari Friedman, PhD is available for AI Research Consulting and Tutoring related to this skill.

Related Skills

See BIBLIOGRAPHY.md for the complete publication catalog and related papers.