Report summary

For Princeton University Department of Computer Science in 2018-2020, the graph shows 19 visible PIs and 7 internal PI collaborations. The main research signal is Computer Science as the leading field (39% of slots across 12 PIs; 12 labels), Molecular Biology as the leading subfield (10% of slots across 4 PIs; 4 labels), and Bioinformatics and Genomic Networks 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 Mark Braverman (11.2 weighted works; Computability, Logic, AI Algorithms, Benford’s Law and Fraud Detection). The clearest collaboration lines are Jennifer Rexford and Xiaoqi Chen (3 shared works, weight 2.5). The strongest breakdown groups are group 1 with 6 PIs, 6 internal connections, weight 5.4, around Artificial Intelligence, Computational Theory and Mathematics, Demography, led by Mark Braverman, Thomas L. Griffiths, Jennifer Rexford.