Report summary
Princeton University Department of Computer Science in 2021-2023 reads as a 13-PI network with 2 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (39% of slots across 9 PIs; 9 labels), Artificial Intelligence as the leading subfield (25% of slots across 7 PIs; 7 labels), and Bioinformatics and Genomic Networks as the leading topic (5% of slots across 2 PIs; 2 labels). That is of concern for a 13-PI roster; the strongest pairings may be carrying much of the visible collaboration. The leading PI names are Olga G. Troyanskaya (8.8 weighted works; Bioinformatics and Genomic Networks, Single-cell and spatial transcriptomics). The most visible ties are Arvind Narayanan and Arunesh Mathur (1 shared works, weight 1). The leading breakdown groups are group 1 with 2 PIs, 1 internal connections, weight 0.6, around Computer Networks and Communications, Electrical and Electronic Engineering, led by Jennifer Rexford, Jack Brassil.
