Global Landslide Detector
The development of a system that monitors social media continuously for general landslide-related content using a landslide classification model to identify and retain the most relevant information is described and validated. The system harvests photographs in real-time from these data and tags each image as landslide or not-landslide. A training model was developed with input […]
Flood Insights
The Flood Insights Dashboard (FID) is a comprehensive tool for evaluating the immediate flood situation during the onset of a flood disaster. Using the best available data, methods and analytical tools, FID synthesizes satellite, social media and geospatial data to help guide crisis responders in making effective decisions. System: https://flood-insights.qcri.org/pakistan_floods_2022 Paper 1: Flood Insights: Integrating Remote […]
Mapping Education Insecurity
This visual shows reports of attacks on education in Africa and the Middle East from the Armed Conflict Location & Event Data Project (ACLED) as well as social media posts from Twitter about education insecurity identified by the Artificial Intelligence for Digital Response (AIDR) platform. The blue circles represent the number of tweets about attacks on education; the orange […]
CrisisMMD
The CrisisMMD multimodal Twitter dataset consists of several thousands of manually annotated tweets and images collected during seven major natural disasters including earthquakes, hurricanes, wildfires, and floods that happened in the year 2017 across different parts of the World. The provided datasets include three types of annotations. Dataset: https://crisisnlp.qcri.org/crisismmd