Mihaela Robila
Papers
2
Total Citations
48
H-Index
2
About
Dr. Mihaela Robila is a pioneering researcher at the intersection of artificial intelligence and the behavioral and social sciences. Her work centers on developing and applying AI methodologies—including machine learning and natural language processing—to analyze complex human behaviors, social interactions, and psychological phenomena. Her most-cited paper, "Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences" (2019, 44 citations), serves as a foundational reference for scholars seeking to integrate computational techniques into traditional social science research. This work has helped bridge the gap between technical AI development and empirical social inquiry, enabling more nuanced modeling of human decision-making and social dynamics. Dr. Robila's contributions are particularly notable for their emphasis on methodological rigor and ethical considerations in AI-driven social research. Her ongoing efforts continue to shape how researchers leverage AI to uncover patterns in large-scale behavioral datasets, making her a key figure in the growing field of computational social science.
Research Focus
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Top Papers
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