Recent developments in energy generation technologies have presented new challenges to power systems concerning their control and stability. Many such challenges stem from the fact that new technologies are integrated with power systems through power electronic inverters that demonstrate multiple time-scale dynamics, forced oscillations from digital control, and a potential for increased computational and communication burdens in control policies. To ensure the continued safe and reliable supply of power to consumers in the face of these challenges, the proposed work will develop computationally efficient methods for the analysis and control of power networks through a novel framework for voltage and frequency control that leverages unique properties of inverter-based resources (IBRs). The anticipated results comprise an innovative approach to wide-area control design that avoids massive computation or communication requirements and enables a wide-spread adoption of emerging technologies in power generation moving forward. The intellectual merit of this proposed project includes: (1) development of a theory of scalable control design for large-scale, multi-time-scale systems, which will advance power systems along with applications including cyberphysical systems or biological networks; (2) identification of critical communication links and sensor measurements in power networks with high IBR penetration; and (3) simulation of large-scale power networks and open-source valida