Dua Fatima

Project Description:

In our Project, “Analysing and Simulating Consensus Networks” we focused on applying stock-and-flow macroeconomic models to cryptocurrency sustainability and compare d AI-driven causal modeling techniques with traditional econometric methods for understanding macroeconomic phenomena. I engaged with key macroeconomic texts to better understand the stock and flow economic models as well as developing skills in Machine learning and causality. I helped develop causal loop diagrams to visually represent PoW sustainability dynamics using advanced computational skills. Furthermore, I implemented and tested stock-and-flow macroeconomic models through computational simulations using Python.

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The Dean’s Award for Research Excellence (DARE) - Undergraduate enables our students to meaningfully engage in research projects supervised by LA&PS faculty members. Find out more about DARE.