supercollider based virtual choir (harmonizer)

Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥

Harmonize is a collaboration project with Colombia, Brazil, Dominican Republic and Peru, led by the Barcelona Supercomputing Center and funded by Wellcome Trust, that aims to develop a digital infrastructure to harmonize climate, health and drone data for every country in the consortium.

Package socio4health is an extraction, transformation and loading (ETL) classification tool designed to simplify the intricate process of collecting and merging data from multiple sources, focusing on sociodemographic and census datasets from Colombia, Brazil, and Peru, into a harmonized dataset.

Turns any Raspberry Pi + Camera module into a self-contained real-time light syncing solution for your Philips Hue lights, with a remotely accessible web interface.