Primary competition visual

AI4EAC Climate & Health Risk Prediction Challenge [BEGINNER]

Helping Burundi, Congo (Democratic Republic of the)
and 6 other countries
  • Burundi
  • Congo (Democratic Republic of the)
  • Kenya
  • Rwanda
  • Somalia
  • Uganda
  • South Sudan
  • Tanzania, United Republic of
  • Scroll to see more
$7 500 USD
Closing soon! (~10 hours left)
Prediction
Classification
Geospatial Data
275 joined
106 active
Starti
Mar 28, 26
Closei
Mar 29, 26
Reveali
Mar 29, 26
About

The dataset includes demographic information such as age and gender, along with location data in the form of district identifiers and/or geographic coordinates for each recorded death. The location information will enables participants to link mortality records to publicly available datasets.

Participants are encouraged to use publicly available climate datasets to enrich the training data. Permitted sources include temperature reanalysis products such as ERA5, rainfall datasets such as CHIRPS, and satellite-derived environmental indicators such as NDVI or land surface temperature.

All external datasets used must be publicly accessible. Participants are encouraged to share links to any external data sources on the competition forum to support transparency and reproducibility.

Some climate features have been downloaded and added to get you started. However you are welcome to download yours. A dictionary of these features is given in downloaded_climate_features_data_dictionary.csv

Files
Description
Files
The dataset for training your model.
This file is for testing for your model.
A full description of variables in the dataset
This file shows the format of your submission file.
A starter notebook showing how to get started.
Additional climate features
A description of the climate features downloaded.
Slide decks from the introductory webinar