DrivenData
DrivenData is a mission-driven organization that works at the intersection of data science and social impact. The platform connects data scientists with meaningful projects in areas like international development, health, education, research, conservation, and public services.
Core Mission
DrivenData aims to give more organizations access to the capabilities of data science while engaging more data scientists with social challenges where their skills can make a real difference.
How It Works
DrivenData operates through two main channels:
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Online Machine Learning Competitions: They host data science competitions focused on social impact problems, where data scientists worldwide can develop models to solve real-world challenges.
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Direct Consulting (DrivenData Labs): For more flexible needs or sensitive data sources, their team of experienced data scientists and engineers works directly with mission-driven organizations.
Community & Open Source
- Maintains popular open-source projects for the data science community
- Shares prize-winning solutions from past competitions openly on GitHub
- Has worked with 80+ organizations across 150+ projects
- Engages a global community of AI professionals, students, and researchers
Notable Projects
- Public Health: Combined Yelp data with Boston's open data to predict restaurant health risks, discovering 25% more violations
- Conservation: Developed automated wildlife identification in video footage through the Zamba project
- Development: Analyzed mobile money records in Tanzania to improve financial services for low-income populations
Target Audience
Data scientists, AI professionals, students, researchers, and mission-driven organizations seeking to leverage data science for social impact.
Key Features
- Online machine learning competitions with social impact
- Direct consulting with mission-driven organizations through DrivenData Labs
- Open-source projects for the data science community
- Competition solutions shared openly on GitHub
- Global community of data scientists and AI professionals
- Solutions for sensitive data and flexible project needs
Use Cases
- Public health risk prediction and food safety
- Wildlife conservation and automated species identification
- International development and financial inclusion
- Education and research advancement
- Public services optimization
Pros
- Focus on meaningful social impact projects
- Free to participate in competitions
- Access to real-world datasets and problems
- Builds portfolio with documented results
- Supports open-source and knowledge sharing
- Backed by notable partners like Gates Foundation and Harvard
Cons
- Competitions may not suit every problem type
- Primarily focused on social impact (may not appeal to all commercial interests)
- Consulting services require direct engagement
Pricing
Competitions are free to join. Consulting services through DrivenData Labs require direct contact for pricing.
