Our recent paper, co-authored with my PhD advisor, Prof. Babak Heydari, explores the often-overlooked aspect of decentralized, bottom-up recovery processes in sociotechnical systems. Complex systems are susceptible to a variety of disturbances, from natural disasters to political upheavals and pandemic crises. We propose an innovative framework that simulates network-based disruptions and models bottom-up recoveries. It captures individual agents' strategic behaviors, recognizing their inherent need to access resources such as information and basic necessities during disruptions, leading to various system equilibria and the evolving trajectories of each. While our method focuses on decentralized recovery, it enables a clear measurement of centralized intervention opportunities as shown in the figure. This allows us to nudge the agents toward higher system-level performance states while maintaining the autonomous decision-making of each agent. This work sets the stage for more effective system resilience analysis (and maybe more realistic compared to entirely top-down engineered models!). This work is now published in the “Reliability Engineering & System Safety” journal (IF: 9.4). Please check the link below for access to the full text: https://lnkd.in/e4vk5vir
Well done!
Congratulations Negin 😊❤️❤️
Congrats, Negin junm!
Great job Negin👏🏻
Congratulations 🎉
congrats 😊
Congrats! Interesting
Ph.D. student in Bioengineering
4moCongrats Negin! It’s impressive!