ClimateNode is a not-for-profit using data science for climate risk intelligence. Their goal is to promote understanding of how climate change may impact economic activity, infrastructure, natural resources and human welfare — and how we can adapt.
Using natural language processing and knowledge graphs, ClimateNode's algorithms can extract information on hazards and impacts from a large number of newspaper articles, reports and other texts (subject to permissions) and link them to places, assets, organisations, sectors and commodities.
Natural language processing in flood research enables further development of our geospatial intelligence capabilities, which can help inform policy and adaptation choices on infrastructure resilience and other areas of flood risk management, and support the national resilience effort. For example:
- post-event analysis, such as mapping impacts in detail can identify infrastructure and socio-economic vulnerabilities
- detailed street-level analysis, for instance which streets in a city flood regularly
- automated detection of smaller flood events which could further our knowledge of the extent of surface water flooding complementing quantitative data and other approaches such as digital twins and crowdsourcing of images
Take a look at ClimateNode's UK flood impact map here.