The period catalyzed a transition from theoretical statistics toward computation-driven inference, emphasizing robust error control and scalable estimation in the face of rapidly increasing data sizes. Methodological developments focused on practical applicability, enabling routine use in high-throughput settings and the emergence of software that implements complex algorithms for large datasets. The synergy between theory and computation fostered a new standard for reproducible, data-intensive research, influencing modern data science and genomics.