Report summary

The 2024-2026 picture for Stanford University Department of Computer Science is a 29-PI network with 16 internal PI collaborations. The main research signal is Computer Science as the leading field (40% of slots across 21 PIs; 21 labels), Artificial Intelligence as the leading subfield (22% of slots across 13 PIs; 13 labels), and Anomaly Detection Techniques and Applications as the leading topic (4% of slots across 3 PIs; 3 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are James Zou (13.7 weighted works; Single-cell and spatial transcriptomics, Topic Modeling). The clearest collaboration lines are Daniel E. Ho and Christopher D. Manning (2 shared works, weight 1.1). The leading breakdown groups are group 1 with 8 PIs, 12 internal connections, weight 6.1, around Artificial Intelligence, Molecular Biology, Political Science and International Relations, led by James Zou, Diyi Yang, Daniel E. Ho.