Intelligent Data Solution for Disaster Risk Reduction (IDS-DRR)

TBC

Data that could enable more effective disaster-risk response and management is scattered or siloed across different agencies, at different scales and formats, making it difficult for decision-makers and relevant stakeholders to make data-informed decisions. The availability of good quality, machine-readable, and interoperable data is crucial for effective climate action and disaster response. However, in India, this data is fragmented and siloed, scattered across different agencies, making it difficult for decision-makers to make data-informed decisions in a timely manner.

We have developed a data model for combining climate, losses & damages, procurement and demographic data for effective flood mitigation strategies in Assam state. Our solution leverages advanced data science techniques to derive insights for decision makers and make it into a user-friendly, interactive open-access tool.

The project report for details can be accessed here: Link

Directory Tree:

1. Sources: Contains all data sources along with the scripts used to obtain data from these sources.
2. RiskScoreModel: Contains codes for calculating the Comprehensive risk score and factor scores for Flood Hazard, Vulnerability, Exposure and Government Response.

License:

All content in this repository is licensed under

If you want to contribute to the data sources, research or have any doubts with the data, please contact us at [email protected]