6 months ago
Through this hackathon, we hope to stimulate ways to apply machine learning to solve pressing challenges in natural disaster preparedness and response.
The scope of this hackathon is broad, but we have collected challenge ideas from organizations across the globe to provide further inspiration for your projects.
- NASA Earth Science Data Systems
How can we help society respond to natural disasters by using Earth remote sensing observations and complementary tools to map their impacts?
- HOT - Humanitarian OpenStreetMap Team
How might we identify (and/or accurately outline) features such as buildings, roads, schools, and bridges from aerial and/or street level imagery? Note that these features may look different in different parts of the world.
Latin American focus
- NASA Disaster Response Latin America Program & AmeriGEO
How can we use machine learning to create landslide management strategies at community level?
North America focus
- ITDRC - Information Technology Disaster Resource Center
How might we more quickly understand the impacts of natural disasters on internet connectivity in a given area?
How might we accurately and efficiently determine the extent of damage to individual homes in a given disaster-impacted area?
Asia / Pacific focus
- ADB - Asian Development Bank
How might we quickly and accurately determine the condition of critical infrastructure (such as roads, bridges, water sources, health clinics, and schools) and prioritize recovery needs after a disaster impacts a given area?
Be sure to join the Devpost Discord channel for support and to connect with other developers. There are also a few resources posted on the Resources tab which are there to assist and may bring you one step closer to a winning project.
Now it’s time to get connected - we can’t wait to see your project!