
Predicting Well Groundwater Quality Using Cloud-Based Machine Learning: DataKind San Francisco Partners with Aquaya and DataKind
A writeup of the partnership
Open source project using Raspberry Pis and sensors to learn about the health of a bee colony by monitoring the temperature and humidity inside and outside the hive over multiple years.
The aim of the experiment is to monitor the temperature inside the cluster of a honey bee colony and to compare this with other temperatures outside the cluster,inside the hive and outside the hive. We are a group of beekeepers based in Snowdonia, North Wales. The system has been running since December 2010 in that time we have had a fascinating insight into the complexities of temperature profile inside a honey bee colony throughout the year. This data is available online and can be navigated through using the interactive live graph on the ‘live data' page.


A writeup of the partnership

A Feminist AI Research network that gathers a cohort of social scientists, economists, and activists, side by side with data, machine learning and computer scientists to discuss how to fix the system and leverage AI for women’s rights.
Conservation X Labs’ Sentinel transforms wildlife monitoring tools — like trail cameras and acoustic recorders — with revolutionary and intuitive AI technology, processing environmental data in real-time as it’s collected.

Our program mixes the best of both Washington and Silicon Valley, bringing together stakeholders in policy and technology to train the next generation of policy entrepreneurs.