The British Geological Survey (BGS) is using Large Language Models to improve real-time monitoring of geological hazards and their impacts.
“To date, the real-time impact data that is needed to effectively forecast and monitor geological hazard events has been unavailable or incomplete. The FloodTags platform aims to fill this gap by using large language models (LLMs) to extract real-time and historic information from social media platforms (X; YouTube; Bluesky; Facebook; Instagram) and more than 150 000 online news sources. This collaboration is a step towards providing timely, ground-level insight into geological hazards around the world.”
As a first activity under the new Memorandum of Understanding, BGS and FloodTags are in Indonesia this week to present the first version of HazTags, an LLM-powered platform for monitoring floods and landslides using social and news media data. They will discuss long-term collaboration in Indonesia with:
the Indonesian national research agency, BRIN
Centre for Volcanology and Geological Hazard Mitigation (PVMBG)
Indonesian Red Cross (PMI)
Meteorology, Climatology and Geophysics Agency (BMKG)
Ministry for Public Works (PU)
National Agency for Disaster Management (BPBD)
Research Centre for Disaster Mitigation (ITB)
