Forecasted Thinking: Economic Foresight & Future Strategy

I am Alexander Poddubny, a research economist and software engineering leader, holding a PhD in Economics and a Master’s degree in Computer Engineering. My career bridges the worlds of scientific interests and advanced technology development, giving me a unique vantage point for tackling complex economic challenges with computational tools and data-driven methodologies.

My scientific interests focus on long-term predictions and the theory and practical application of foresight. I am passionate about understanding how economic systems evolve over time, using rigorous theoretical frameworks and computational modeling to forecast trends and inform policy. This passion has led me to explore the intersections of behavioral science, macroeconomic analysis, and technological innovation, often applying principles from both economics and engineering to design solutions that address tomorrow’s uncertainties.

I am also a result-driven engineering manager with over 15 years in the Software, Cloud, and DevOps space, consistently driving automation and new tech adoption to transform reliability, scalability, and cost-efficiency across Cloud, QE and DevOps landscapes.
Combining hands-on expertise in architecture, incident management, and automation-first strategy, I ensure reliability and efficiency - even in the most demanding scenarios. My passion is building scalable, AI-enabled infrastructures that empower organizations to innovate swiftly, control costs, and never compromise on performance.

Through this blog, "Forecasted Thinking", I aim to share insights, research findings, and practical tools of understanding long-term economic change. Whether modeling future scenarios or examining the theoretical underpinnings of foresight as a scientific discipline, my goal is to explore and share ideas about the tools and methodologies for predicting economic futures and the technological forces shaping them.