We are asking you to generate new analysis and insights using data about the 2015 flooding in southern Malawi. You can explore issues around the extent of the floods and the impact of the floods on things like poverty, food security, education, health, access to services, and land use.

Your output can be a mix of data visualization and text.

You may use the following datasets to come up with original visualizations and/or reports.

1. Malawi Food Prices - https://data.humdata.org/m/dataset/wfp-food-prices-for-malawi
2. Malawi Health sites - https://data.humdata.org/m/dataset/malawi-healthsites
3. Malawi Food Security Indicators - https://data.humdata.org/m/dataset/faostat-malawi-indicators-for-food-security
4. Malawi 2015 Flood Extent - https://data.humdata.org/m/dataset/malawi-floods-2015-flood-extent
5. Malawi Demographic & Health Data - https://data.humdata.org/m/dataset/dhs-data-for-malawi
6. Malawi Demographic & Socio- Indicators - https://data.humdata.org/m/dataset/unesco-dsei-malawi
7. Malawi High Resolution Population Density Map - https://data.humdata.org/m/dataset/highresolutionpopulationdensitymaps-mwi
8. Malawi Buildings (OSM) - https://data.humdata.org/m/dataset/hotosm_mwi_buildings
9. Malawi Points of interest - https://data.humdata.org/m/dataset/hotosm_mwi_points_of_interest

To make a submission, you must register for the competition. Note that there will be no scores on this leaderboard.

You will be evaluated on only one submission at the end of the competition. If you make multiple submissions, you will be judged on only the most recent submission.

Upon the close of this competition, the judging panel will score your submission according to the evaluation criteria. The panel’s determination is final. Winners will be announced within 15 working days of the competition close.

Please label your files:

username_submission_XXX.pdf

Where XXX is a unique ID to identify when your submission was made.

External datasets

• https://data.biogeo.ucdavis.edu/data/diva/adm/MWI_adm.zip
• https://www.diva-gis.org/gdata
• https://climateknowledgeportal.worldbank.org/download-data
• https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42#
• Train data (2015_data) from the Flood prediction challenge #1
• https://data.humdata.org/dataset/malawi-administrative-level-0-3-boundaries
• https://www.worldclim.org/data/worldclim21.html