I’m Olawale C. Olawore, a researcher and business practitioner interested in how economics, technology, and real-world systems interact, especially when things don’t go as planned.
A question I keep coming back to is simple: how do people make decisions when the models don’t work? In reality, markets move quickly, information is often incomplete, and outcomes are uncertain. I’m interested in understanding how decisions are made in those conditions and how they can be improved.
My background is in business and management, with experience in digital marketing and strategy within the U.S. travel and services sector. Alongside this, I’m continuing my academic development, with a growing interest in how data and intelligent systems influence financial decision-making and risk.
More broadly, I’m interested in the gap between how systems are expected to work and how they actually behave.
Much of my work focuses on what happens when people have to make decisions and traditional approaches no longer apply. These approaches typically assume stability and certainty, but real-world conditions are rarely that simple. Markets shift, information is often incomplete, and decisions must be made under time pressure.
Much of my research focuses on how systems behave under uncertainty. I think of international trade, artificial intelligence, global supply chains and so on as systems that evolve, rather than just topics to study.
I’m particularly interested in situations where the usual assumptions don’t hold. I’m not so interested in making models that are perfectly accurate, but rather in how to inform decisions in a world of uncertainty. In my work, this shows up as a focus on how to think in complex situations.
I didn’t arrive at this view on theoretical grounds. I’ve had the chance to work in the digital marketing and business strategy space within the U.S. travel and services industries, where I’ve seen how small changes can have outsized effects.
A memorable moment was watching a 48-hour lag in supply chain data change a price by almost 20%. It was a small shift in the system, but with a big outcome. It made me see economics differently. They don’t just describe models they reflect decisions made by people working with incomplete information, competing priorities, and real constraints. That’s what I focus on: how decisions are made, and how to make them better in fast-moving and uncertain environments.
I have been deliberate in building my education from a broad foundation to a more focused area:
MS in Financial Management & Artificial Intelligence (currently studying) — Boston University, United States
Master of Business Administration (MBA) — University of the People, United States
BSc in Business Management — American University for Humanities, Tbilisi, Georgia
At the moment, I’m most interested in how data and intelligent systems influence risk and decision-making.
As I prepare for doctoral study, I’m interested in exploring the relationship between economic systems and technology. I want to produce work that is both reflective and useful research that helps explain what is happening, but also suggests how better decisions can be made.
Ultimately, I’m not trying to build the perfect theory. I want to understand how people make decisions in uncertain situations and how to make better decisions in the real world.