Federico Sangati
Okinawa Institute of Science and Technology Graduate University
Papers
1
Total Citations
18
H-Index
1
About
Federico Sangati is a computational linguist and cognitive scientist whose research bridges language, social interaction, and neural complexity. He is best known for challenging the social brain hypothesis—the idea that larger brains evolved to manage complex social groups. In his highly cited 2021 paper, "Shrunken Social Brains? A Minimal Model of the Role of Social Interaction in Neural Complexity" (18 citations), Sangati uses minimal computational models to show that social interaction can actually reduce neural complexity, offering a provocative counterpoint to traditional evolutionary reasoning. This work has sparked important discussions in cognitive science and evolutionary biology. Beyond this, Sangati has made notable contributions to computational linguistics, including work on treebanks and parsing algorithms. His research is characterized by its interdisciplinary approach, combining formal modeling with insights from linguistics, neuroscience, and social behavior. For students and researchers, Sangati’s work exemplifies how simple models can challenge deeply held assumptions about the mind and its evolution.
Research Focus
Key Achievements
Top Papers
- 1