Report summary

Stanford University Department of Computer Science in 2016-2026 reads as a 119-PI network with 176 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (40% of slots across 83 PIs; 83 labels), Artificial Intelligence as the leading subfield (15% of slots across 41 PIs; 41 labels), and Topic Modeling as the leading topic (3% of slots across 11 PIs; 11 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 22 PIs across distinct clusters. The leading PI names are James Zou (54.2 weighted works; Artificial Intelligence in Healthcare and Education, AI in cancer detection); Russ B. Altman (54 weighted works; Computational Drug Discovery Methods, Bioinformatics and Genomic Networks). The most visible ties are Li Fei-Fei and Serena Yeung (13 shared works, weight 8.5). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 31, around Artificial Intelligence, Information Systems, Molecular Biology, led by James Zou, Jure Leskovec, Dan Jurafsky.