Case studies
Explore public examples of our work building data and AI solutions for problems that matter.
Explore public examples of our work building data and AI solutions for problems that matter.
DrivenData developed Freedom Lifemap, a digital tool designed to support survivors of human trafficking on their journey toward reintegration and independence
DrivenData created an open-source package to detect harmful algal blooms using machine learning and satellite imagery. Included running a machine-learning competition, conducting end user interviews, and engineering a deployable pipeline
DrivenData built a real-time, interactive map to visualize attacks on the Ukrainian health care system. The map will support partner efforts to provide aid, hold aggressors accountable in court, and increase public awareness.
Automated recognition of agricultural entities (such as crops, pests, diseases, and chemicals) in WhatsApp and Telegram messages among plant doctors enables new ways to surface emerging trends and improve science-based guidance for smallholder farmers
Over 1 billion people lack access to electricity, and off-grid solutions need investment. DrivenData worked with The World Bank to analyze repayment data across dozens of pay-as-you-go (PAYG) off-grid solar energy companies and build out key performance indicators for PAYG portfolios.
DrivenData worked with Fair Trade USA to create a "supply chain map" with interactive visualizations of how products were assembled, in space and time, from their origins to their retail destinations.
DrivenData worked with IDEO.org to reveal patterns in behavior and barriers to trust in use of mobile money among low-income populations in Tanzania. Our team analyzed millions of financial records from a large mobile network operator (MNO) to inform how new user-centric approaches could be designed.
Our data science team worked with EverTrue to understand how the factors that they collect affect major gift donations.
DrivenData, in partnership with Yelp and Harvard, and with support from the City of Boston, structured a predictive challenge to tie Yelp reviews and ratings with the results of Boston's food safety inspections.
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