a second-year econ major at Penn State exploring where economics meets AI, tech, and policy. I'm all about using data, curiosity, and big questions to tackle real-world challenges.
This is one of the most thoughtful policy modeling proposals I’ve come across. As an Economics major, I’ve often been frustrated by how disconnected traditional models can feel from the realities people live through. Your statement that “the economic system is too complex for any one person or tool to grasp fully” really resonated with me. In many of my classes, we rely on simplified graphs or regression outputs, but those rarely capture how a single policy can ripple across industries, communities, and even generations.
The way you combine historical context, a knowledge graph, and numerical simulations is compelling. Instead of just presenting outcomes, your system helps users understand why those outcomes occur. That shift from output to reasoning could be transformative, especially for local decision-makers, students, or voters trying to make sense of policies like tariffs or subsidies. For example, a user could input a steel tariff and see how it might influence housing prices, union responses, or downstream manufacturing jobs, rather than just GDP or CPI changes.
I really appreciate your emphasis on “structured explanation over speculation.” In a time when policy debates often rely on soundbites or intuition, your approach invites people to slow down and think in systems. This could be a powerful educational tool and a bridge between economists and the broader public.
One thing I’m wondering is how the system will handle disagreement within economics. Take the minimum wage. Would the model be able to show multiple reasoning paths based on different schools of thought or labor assumptions?
Overall, this project feels incredibly timely and meaningful. I’d love to stay in the loop and contribute in any way I can, whether that’s offering feedback from a student lens, or exploring ways it could be used in economics classrooms.
This is one of the most thoughtful policy modeling proposals I’ve come across. As an Economics major, I’ve often been frustrated by how disconnected traditional models can feel from the realities people live through. Your statement that “the economic system is too complex for any one person or tool to grasp fully” really resonated with me. In many of my classes, we rely on simplified graphs or regression outputs, but those rarely capture how a single policy can ripple across industries, communities, and even generations.
The way you combine historical context, a knowledge graph, and numerical simulations is compelling. Instead of just presenting outcomes, your system helps users understand why those outcomes occur. That shift from output to reasoning could be transformative, especially for local decision-makers, students, or voters trying to make sense of policies like tariffs or subsidies. For example, a user could input a steel tariff and see how it might influence housing prices, union responses, or downstream manufacturing jobs, rather than just GDP or CPI changes.
I really appreciate your emphasis on “structured explanation over speculation.” In a time when policy debates often rely on soundbites or intuition, your approach invites people to slow down and think in systems. This could be a powerful educational tool and a bridge between economists and the broader public.
One thing I’m wondering is how the system will handle disagreement within economics. Take the minimum wage. Would the model be able to show multiple reasoning paths based on different schools of thought or labor assumptions?
Overall, this project feels incredibly timely and meaningful. I’d love to stay in the loop and contribute in any way I can, whether that’s offering feedback from a student lens, or exploring ways it could be used in economics classrooms.