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Maria Del Rio-Chanona is a lecturer in the Department of Computer Science at University College London. Her research draws from network science, machine learning, and large language models, focusing on agent-based modeling and the economic impact of the AI Covid-19 pandemic as it relates to future work and the net-zero transition. Maria holds a PhD in Mathematics from the University of Oxford, where she was part of the Complexity Economics group within the Institute for New Economic Thinking at the Oxford Martin School. She has served as a JSMF research fellow at the Complexity Science Hub in Vienna and was a visiting scholar at the Harvard Kennedy School. Throughout her career, Maria has collaborated with international policy organizations, including the International Monetary Fund and the International Labour Organisation. Additionally, she has a background in Physics, having completed her undergraduate studies at the Universidad Nacional Autonoma de Mexico (UNAM).