Report summary

Stanford University Department of Management Science and Engineering in 2015-2026 reads as a 36-PI network with 28 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (14% of slots across 10 PIs; 10 labels), Artificial Intelligence as the leading subfield (8% of slots across 7 PIs; 7 labels), and Simulation Techniques and Applications as the leading topic (4% of slots across 4 PIs; 4 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The leading PI names are José Blanchet (32.3 weighted works; Stochastic processes and financial applications, Simulation Techniques and Applications); Peter W. Glynn (31.1 weighted works; Advanced Queuing Theory Analysis, Simulation Techniques and Applications). The most visible ties are Margaret L. Brandeau and Jeremy D. Goldhaber‐Fiebert (13 shared works, weight 6.7). The leading breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 42.9, around Management Science and Operations Research, Modeling and Simulation, Epidemiology, led by José Blanchet, Peter W. Glynn, David Scheinker.