Nwankama Nwankama

As my career evolved, my work increasingly centered on research, writing, and applied analysis at the intersection of business, technology, and complex societal decision environments. Beyond intelligence and analytics, I have contributed to strategy development across private and public sectors by analyzing how information moves through organizations, institutions, and public arenas, how public sentiment forms, and how regulatory environments and stakeholder behavior interact to influence organizational, institutional and societal outcomes. Drawing on insights from behavioral science, mathematics, computing, and integrative strategy, my work supports sustainable growth, institutional and public trust, and mission alignment—to enhance performance and quality.

At the heart of my approach and work is a commitment to continuous learning and to producing analysis that is both rigorous and socially grounded. I am motivated not only by advancing industries, but also by supporting high-stakes leaders in navigating societal complexity responsibly—helping to create conditions in which organizations, communities, and individuals can thrive together.

With over thirty years of experience in business and ICT strategy, I work at the intersection of management, competitive intelligence, and predictive analytics—helping leaders make informed, evidence-based decisions.

I’m an active member of several professional bodies, including:

• The Academy of Management

• IEEE Computational Intelligence Society

• The Knowledge Management Professional Society (KMPro), and

• The Data Management Association (DAMA).

Earlier in my journey, I was honored with the CIDA International Scholar Award in Ottawa, Canada—an early recognition of my commitment to lifelong learning and professional excellence.

More Information:

Our Sample Projects:

• National socio-digital early warning and strategic foresight architecture

• The self-disruption project

• Intelligence training manual: Self-disruption as analytic tradecraft

• Classified-style analytic vignettes and tradecraft alignment

• An innovative, purpose-built set of structured analytical exercises aligned with IC and NATO tradecraft standards that demonstrate how analysts can proactively challenge their own assumptions and methodologies within a professional intelligence framework | Go >>

• A practical intelligence tradecraft guide for identifying and mitigating unconscious bias through structured self-disruption integrated into analytic workflows | Go >>

The National Early Warning System

• Many of the most dangerous threats to 21st-century governments no longer emerge from barracks or battlefields, but from keyboards and cell phones—where narratives spread, emotions mobilize, and revolutions take shape before a single soldier moves. The Arab Spring revealed a fatal blind spot: states could monitor weapons and crowds, but not the narratives, emotions, and cascading belief shifts that ignite unrest. This project responds to that gap by building a computational intelligence ecosystem—a national immune system—designed to detect, model, and prevent instability before it erupts | Go >>

Intelligence Training Manual

Classified-Style Intelligence Analysis Vignettes and Tradecraft Alignment

• Applications of Whitney Johnson's four principles of self-disruption to the unconscious bias problem in intelligence analysis | Go >>

The Self-Disruption Project

There are many ways we can connect:

Penn State University