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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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[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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[Grant] 2024 July. We received a grant from the NSF HDBE program to work on the project "Fostering Collective Disaster Resilience via Cross-city Learning of Post-disaster Mobility Dynamics and Collaborative Data Governance"! NYU Tandon News
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[Paper] 2024 July. "Enhancing human mobility research with open and standardized datasets" is published in Nature Computational Science! NYU Tandon News
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[Paper] 2024 April. "Open e-commerce 1.0, five years of crowdsourced US Amazon purchase histories with user demographics" is published in Scientific Data!
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[Paper] 2024 April. "YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories" is published in Scientific Data!
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[Paper] 2024 March. "Infrequent activities predict economic outcomes in major American cities" is published in Nature Cities!
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[Paper] 2024 March. "Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics" is published in Journal of Open Source Software!
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[Data Challenge] 2023 June. We are hosting a human mobility prediction data challenge with open data of 100K individuals across a 90-day period. For more details, check out the website!
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[Media] 2023 April. Our paper published in Nature Communications is featured on MIT News!
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[Blog] 2023 April. We wrote a 'Behind-the-paper' blog piece in Nature Blogs!
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[Presentations] 2023 May. I will give an online seminar talk at the ANET Seminar Series on May 5th 10AM EST. Sign up here!
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[Paper] 2023 April. "Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters" is published in Nature Communications!
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[Paper] 2022 March. "Quantifying the spatial homogeneity of urban road networks via graph neural networks" is published in Nature Machine Intelligence!
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[Paper] 2022 Feb. "Toward data-driven, dynamical complex systems approaches to disaster resilience" is now published in PNAS!
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