Project Grant 2443266

Award Date 6/15/25
Completion Date 5/31/30
Dollars Obligated $314K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Mississippi State, MS 39762, USA
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This $314,283 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research conducted by Mississippi State University to develop a unified framework for analyzing general graph dynamics and interconnected networks. The key objectives are to:

  1. Develop a theoretical framework using advanced methods like sparse symbolic dynamics, probabilistic modeling, and optimization techniques to extract governing equations and uncover hidden patterns in complex system behaviors.

  2. Model the dynamics of interconnected systems, such as disease-spreading and social awareness networks, using high-fidelity digital twin simulations to predict and prevent cascading failures, optimize resources, and strengthen system resilience.

  3. Promote interdisciplinary awareness and education on managing complex, interconnected systems to benefit society.

This 5-year project aims to advance the understanding and management of complex behaviors in interdependent networks, offering solutions to real-world challenges like transportation, power grids, and social platforms. The research seeks to bridge disciplinary silos and leverage common insights across diverse fields.

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