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Resilient Urban Networks Lab
We develop computational models to study the resilience of urban complex systems

Welcome to the Resilient Urban Networks Lab webpage!
Cities are the main engines of productivity, innovation, and culture, owing to the dense social and economic connections formed by people and organizations. However, cities are also at the forefront of unprecedented challenges, including climate change, increasing natural hazards and disasters, growing inequality, and segregation, whilst experiencing rapid spread of new technologies, ranging from electric and autonomous vehicles to AI systems that influence our behavior and decisions. How will such compounded shocks affect cities and ultimately, our lives?
The mission of the Resilient Urban Networks (RUN) Lab is to develop computational tools and data-driven models that help us better understand the complex interplay between collective human behavior and the built environment exposed to such drastic changes. We are an interdisciplinary group of scientists, engineers, urban planners, and computer scientists, working together with practitioners and policy makers to improve the resilience and sustainability of communities and cities to future urban shocks.
The RUN Lab is directed by Dr. Takahiro Yabe, an Assistant Professor at New York University. Our research lies in the intersections of civil engineering, urban informatics, computational social science, complex systems and network science, and geospatial artificial intelligence (AI). To learn more about our research, please visit the Research page and Google Scholar!
Lab News:
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[Data Challenge] We are organizing the GIS CUP at ACM SIGSPATIAL this year! Check out the website here. To join the data challenge, please apply here.
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[Award] Jiayi Weng and Malik Salman (MS students in the RUN Lab) received the CUSP Promising Researcher Award! Congratulations!
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[Award] Tanisha Dighe, Ziwei Zhang, Sanyogita Deshmukh, & Zoey Zhou Yuan (MS students at CUSP) received the Best Data-Informed Insight Award for their capstone project! Congrats!
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[Grant] 2024 Sep. We received a grant from the NSF SAI program to work on the project "Collaborative Research: SAI: Planning for Electric Vehicle Charging Infrastructure"!
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[Data Challenge] 2024 July. We are hosting the second human mobility prediction data challenge with open data of 100K individuals across a 75-day period for 4 cities. For more details, check out the data challenge website
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