Data for Black Lives conference
December 11-13 2020
MIT Media Lab
2017
racial equity
https://www.datakind.org/blog/predicting-well-groundwater-quality-using-cloud-based-machine-learning-datakind-san-francisco-partne
Predicting Well Groundwater Quality Using Cloud-Based Machine Learning: DataKind San Francisco Partners with Aquaya and DataKind
A writeup of the partnership
Active
New York City
DataKind San Francisco (DKSF) was privileged to work with Aquaya throughout 2022, initially on a DataCorps® project analyzing satellite imagery, and more recently on a Data Advisory project described below to incorporate cloud-based storage and machine learning models to predict water well quality in remote regions of Uganda. Through these collaborations, DKSF was able to partner with Aquaya to centralize data and deploy scalable models in a seamless and cost-effective manner.
Related projects
Parent organization: DataKind
- Project type
- Project
- Country
- United States of America 🇺🇸
- Language(s)
- English
- Tech stack
- BuiltWith report →
- Categories
- Data science for social good, Emerging tech, Satellites
- Added
- 2023-05-03
- Last modified
- 2026-07-12T16:44:36.000Z
Additional details
- Number of integrations
- 0
- Sustainable Development Goals
- 6. Clean water and sanitation
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