Max Planck Institute for Evolutionary Anthropology, Arcus Foundation, WILDLABS
Detected wildlife in images and videos—automatically and at scale—by building the winning algorithm from a DrivenData competition into an open source python package and a web application running models in the cloud.
Approaches include: Deep learning, computer vision, transfer learning, data science competition, crowdsourced data annotations, open source software
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DrivenData developed Freedom Lifemap, a digital tool designed to support survivors of human trafficking on their journey toward reintegration and independence
Reflections on how to build data and AI infrastructure in the social sector that serves the needs of nonprofits and their beneficiaries.
Learn about how winners detected cognitive decline using speech recordings and social determinants of health survey data
Data, evaltuation, product iteration, and public goods: reflections on the ASU+GSV Summit 2025.
Overview of key open-source packages for extracting features from voice data to support ML applications
An introduction to using large language models via the benchmark to a document summarization challenge.
Learn about the results and winning methods from the early literacy screening challenge.
Finding data jobs for good causes can be difficult. Learn strategies, job lists, and tips to find organizations with open positions working on causes you care about.
Learn about the winning solutions from the Youth Mental Health Challenge Automated Abstraction and Novel Variables Tracks
Learn about the winners and winning solutions from the final stages of the Water Supply Forecast Rodeo.
This year DrivenData celebrates our 10th birthday! We've spent the past decade working to use data science and AI for social good. Here are some lessons we've learned along the way.
In this guest post from the MIT Gabrieli Lab, we'll show you how to get started with the literacy screening challenge!
Learn how to process text narratives using open-source LLMs for the Youth Mental Health: Automated Abstraction challenge
Learn about the top datasets sourced for Phase 1 of the PREPARE Challenge.
Inspiration and resources for teaching students data science, machine learning, and AI skills with DrivenData competitions.
When non-profits when they shut down, we should pay attention to the assets they produce as public goods and how they can be used to drive impact.
Learn about the top solutions submitted for the Pose Bowl: Spacecraft Detection and Pose Estimation Challenge.
Learn about the winning models for forecasting seasonal water supply from the first stage of the Water Supply Forecast Rodeo.
Announcing the V2 release of Cookiecutter Data Science, the most widely adopted data science project template.
Learn more about how our team is bringing the transformative power of data science and AI to organizations tackling the world's biggest challenges.
