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@riskaudit

The Cambridge Disaster Risk Quantification Auditing Project

a research project on auditing our global disaster risk to assess whether countries are making progress on the Sendai Framework using artificial intelligence

Hi, welcome!

We are an interdisciplinary research team at the Cambridge University Centre for Risk in the Built Environment and AI for Environmental Risks. Our aim is to explore how artificial intelligence (AI) can provide an improved understanding of the global resilience in response to intensifying effects of climate change and other natural hazards. This project investigates state-of-the-art probabilistic catastrophe models and AI methods to quantify exposure and risk of the built environment at large scales, and would enable the beginnings of a global risk audit, measuring the changes of disaster risk profiles over time to assess whether countries are making progress. For more information, visit our website https://riskaudit.github.io/.

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  1. riskaudit riskaudit Public

    A working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic …

    Python

  2. OpenSendaiBench OpenSendaiBench Public

    OpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics

    Python

  3. DeepC4 DeepC4 Public

    Deep Conditional Census-Constrained Clustering (DeepC4) for Large-scale Multi-task Disaggregation of Urban Morphology

    MATLAB

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