Publications
Improving Corporate Governance: A Balanced Scorecard Approach
Corporate governance is a matter of enormous public attention and concern. More was published on this topic in the past 12 months than in the last five years combined. Much of the press provides governance practices and control recommendations that introduce more regulation into the governance process. While tough measures such as Sarbanes-Oxley Act and the SEC orders and regulations reforms are necessary, given recent events, they are not sufficient.
Post-pandemic Hybridism: Rethinking Residential Architecture in the Age of Digital Life
The pandemic didn’t just disrupt daily routines—it accelerated a deeper transformation in residential architecture. As remote work, digital connectivity, and placelessness redefine how we live, the traditional boundaries between domestic, professional, and social spaces have collapsed.
Toward Modeling for Safe AI and Preventing AI-Driven Global Catastrophes
This outline defines seven key Agent-Based Modeling (ABM) research areas to simulate and measure the ripple effects of deploying increasingly advanced artificial intelligence (AI) systems in military, defense, workforce, technology, and labor markets. These research areas reflect current interview topics from leading AI thought leaders, including Geoffrey Hinton, Yoshua Bengio, Stuart Russell, Elon Musk, Max Tegmark, and Sam Altman. Each of them, and many others, have expressed serious concerns about AI safety at large, societal disruption, and governance in recent interviews and publications.
The New Era of Policy Formulation and Planning for Technology Supply Chain, Ecosystem and and Workforce Capability
The power of nonlinear and feedback-based modeling lies in its ability to replicate the dynamic processes that characterize real-world economic, social, and technological systems. These models do not treat individuals or firms as static averages but instead simulate their behavior as adaptive agents embedded in evolving networks of incentives, information, and feedback. This enables planners, policymakers, and analysts to experiment with complex questions such as workforce transformation, technology diffusion, supply chain resilience, and social stability under disruption.
The transition to agent-based and nonlinear modeling represents a paradigm shift away from equilibrium assumptions and toward systems that reflect the true heterogeneity and interaction-rich fabric of modern economies. The ability to observe tipping points, simulate the co-evolution of labor and automation, or map cascading ripple effects of trade shocks is no longer a theoretical luxury—it is a necessity for resilient governance and strategic foresight.