Join us to deliver insights, understanding, and solutions to address the housing crisis in the United States.
Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.
Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world.
Partnership-curated notebooks to support COVID-19 response
Set up a Cost-Effective Modern Data Stack for a Charity
Source Code Repository of "Identification of Criminal Activity Hotspots using Machine Learning to aid in Effective Utilization of Police Patrolling in Cities with High Crime Rates" presented at CSITSS-2019 in RVCE, Bengaluru, Karnataka, India.
Curated list of resources about Data for Good, Data Science for Good, Data Science for Social Good, Data Science for Public Good, Data for Humanity.
Support for the Syria Economic Monitor
📝 Projects & News
Descarga y geolocalizacion de apartamentos turísticos en la Comunidad Valenciana
This repository contains the Python implementation of the agent-based model used to model the spread of COVID-19.
Data Analysis undertaken during the Live in Labs program at ASE-B
The goal of this projet is to predict future disasters (droughts, floods, and storms) and their impact, and represent these predictions on a dashboard.
Use of Waze data to better understand mobility issues in Romania
This repository contains the code for the analysis and the reproducibility package for the paper "Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning"
Collection of resources for data and ML for good and how to get involved.
Interactive exploration of global results from the Facebook "Survey on Gender Equality At Home
Memory Blossoms, a data visualized object, is a collection of memories of the living and the deceased over a lifetime, and represents the celebration of Spring in Japanese culture. It is an exploration of the interrelationships between time, location, and forms.
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