[Nigerian Chapter] Improving Access to WASH Services for Displaced and Vulnerable Communities
This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by the Omdena Port Harcourt, Nigeria Chapter.
The problem
Improve access to WASH services (Water, Sanitation, and Hygiene) for displaced persons and vulnerable host communities to reduce susceptivity to waterborne diseases and improve livelihoods. More than one million people have been displaced in the region of focus.
Strengthen livelihoods and resilience among households and increase sustainable access to WASH services.
The project goals
Covering the current infrastructure situation of WASH services.
Data:
- Have a few surveys, reports, and other data sources but no centralized data pool.
- No experience with satellite imagery (but open to exploring).
- Currently talking to other CSOs and data partners to collect more data.
- So more data can be collected in November & December.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
First Omdena Local Chapter Challenge?
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
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