Report summary

For Princeton University Department of Computer Science in 2024-2026, the graph shows 16 visible PIs and 2 internal PI collaborations. The main research signal is Computer Science as the leading field (28% of slots across 9 PIs; 9 labels), Artificial Intelligence as the leading subfield (12% of slots across 5 PIs; 5 labels), and 3D Shape Modeling and Analysis as the leading topic (4% of slots across 2 PIs; 2 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The most prominent PIs by weighted works are Thomas L. Griffiths (7.8 weighted works; Neural Networks and Applications, Risk Perception and Management). The clearest collaboration lines are Thomas L. Griffiths and Rachit Dubey (2 shared works, weight 1.1). The strongest breakdown groups are group 1 with 3 PIs, 2 internal connections, weight 1.7, around Sociology and Political Science, Artificial Intelligence, Computer Graphics and Computer-Aided Design, led by Thomas L. Griffiths, Rachit Dubey, Shunyu Yao.