Richter's Predictor: Modeling Earthquake Damage
Can you predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal based on aspects of building location and construction? Competition hosted by DrivenData. #disasters
Based on aspects of building location and construction, your goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.
This is an intermediate-level practice competition.
The data was collected through surveys by Kathmandu Living Labs and the Central Bureau of Statistics, which works under the National Planning Commission Secretariat of Nepal. This survey is one of the largest post-disaster datasets ever collected, containing valuable information on earthquake impacts, household conditions, and socio-economic-demographic statistics.
Competition End Date:
March 1, 2024, 7:13 p.m.
|This competition is for learning and exploring, so the deadline may be extended in the future.|
How to compete
- Click the "Join the competition" button on the sidebar to enroll in the competition.
- Get familiar with the problem on the Problem Description and About page.
- Download the data from the Data tab.
- Create and train your own model. The benchmark blog post is a great place to start!
- Use your model to generate predictions that match the submission format. Click “Submit” in the sidebar, and then “Make new submission”. You’re in!
- Bonus: share your work! Click the "+" icon on the Submissions page and add a link to your approach.
Image courtesy of Wikimedia Commons
On this page
Richter's Predictor: Modeling Earthquake Damage: Rules and Terms of Data Use
DrivenData Competition Rules
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Private sharing of code
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Open licensing of winners
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Documentation for winning solutions
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External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
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This Competition is a challenge of skill and the final results are determined solely by leaderboard ranking on the private leaderboard (subject to compliance with these Competition Rules). Participants' scores and ranks on the Competition Website at any given stage of the Competition will be based on the evaluation metric described on the Competition Website, as determined by applying the predictions in the Submission to the ground truth of a validation dataset whose instances were a fixed set sampled from the Data.
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Data use and code sharing
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