I have only just started becoming active in research/agent based modeling.

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Farzaneh Davari is a social science researcher who has worked in many diverse fields, including agriculture, conflict, health, and human rights, just to name a few. Currently, she is a Ph.D. candidate in Computational Social Science, focusing on social-ecological complex systems and applying computational science and Agent-Based Modeling to understand resilience procedure through self-organizing and learning. Meanwhile, she is a designer and instructor of the online graduate level course of Decision-making in Complex Environments in Virginia Tech.

I work at the intersection of archaeology and artificial intelligence, applying computational modelling to some of prehistory’s hardest questions. My doctoral research used agent-based modelling combined with genetic algorithms to explore the behavioural and biological characteristics of Neanderthals — treating ancient populations not as static artefacts but as dynamic systems that can be interrogated through simulation.
My work reflects a broader conviction: that AI and machine learning are not just tools imported from other disciplines, but frameworks that can reshape how archaeologists ask questions and interpret the past.

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I am currently enrolled as a graduate student at UC3M, working towards a MS degree in Computational and Applied Mathematics. Upon completing my current program, my intention is to further my education in Applied Economics, with a specific focus on the intersection of Climate and Development Economics.

My research pursuits center around investigating the impacts of climate change on developing nations. Additionally, I am interested in studying the repercussions of fast fashion consumption, examining its effects on working conditions, the environment, and the overall well-being of individuals in the countries where these garments are manufactured. In my ongoing master’s thesis, I employ Agent-Based Modeling to simulate the attitudes of individual consumers towards fast fashion. The model captures behavioral shifts influenced by peers, social media, and governmental factors. This research aligns with my broader interests in comprehending public perspectives on global matters, underscoring the crucial influence of individual attitudes in confronting and finding solutions to these challenges.