Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems
Scientific progress emerges from a longitudinal ecosystem in which researchers, institutions, funding agencies, collaboration networks, and the scientific literature co-evolve. As AI becomes increasingly involved throughout the scientific research cycle, understanding these interconnected and evolving processes becomes increasingly important. We introduce SciUtopia, a persisten
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Scientific progress emerges from a longitudinal ecosystem in which researchers, institutions, funding agencies, collaboration networks, and the scientific literature co-evolve. As AI becomes increasingly involved throughout the scientific research cycle, understanding these interconnected and evolving processes becomes increasingly important. We introduce SciUtopia, a persisten
This research introduces a novel closed-loop simulation framework for academic ecosystems using LLM agents, offering a powerful tool to study and predict the dynamics of scientific progress. For ML engineers, understanding such agent-based simulations is crucial for designing and evaluating complex AI systems that interact with dynamic environments.