Report summary

For University of Iowa Department of Statistics and Actuarial Science in 2020-2026, the graph shows 13 visible PIs and 0 internal PI collaborations. The main research signal is Mathematics as the leading field (26% of slots across 8 PIs; 8 labels), Statistics and Probability as the leading subfield (20% of slots across 7 PIs; 7 labels), and Statistical Methods and Inference as the leading topic (15% of slots across 6 PIs; 6 labels). That is of concern, because the roster has names but no visible internal collaboration structure. The most prominent PIs by weighted works are Boxiang Wang (5.6 weighted works; Sparse and Compressive Sensing Techniques, Gaussian Processes and Bayesian Inference). No internal PI-to-PI collaboration edge is visible in this period. No multi-PI collaboration group is visible in this period, a concerning sign if the department expects a connected internal network.