Driven Data

Driven Data: Open Platform for Predictive Modeling Competitions

An open platform for predictive modeling competitions to solve real-world problems using machine learning, with a focus on datasets on topics like algorithmic lending, satellite images, and hospital readmission rates.

What is Driven Data?

Driven Data is an open platform that hosts predictive modeling competitions aimed at solving real-world problems through machine learning and data science. The platform brings together data scientists, statisticians, engineers, researchers, and other experts to build machine learning models using rich, real-world datasets.

Some examples of problems addressed on Driven Data include:

• Algorithmic lending - Building models to increase access and lower costs of financial services
• Mapping - Creating algorithms that extract insights from satellite imagery to solve global issues
• Healthcare - Developing models focused on problems like hospital readmission rates and patient outcomes

In each competition, participants are provided structured datasets relevant to the problem and work to develop the most accurate predictive model according to a specific metric. Competitions offer prize incentives for top solutions. The goal is to produce models that provide genuine business and social value.

Driven Data also serves an educational purpose, allowing data scientists to develop skills and experience while tackling meaningful problems. All code and approaches are open and transparent. The platform has engaged over 100,000 data scientists and the solutions have delivered value to partners like Facebook, The Nature Conservancy, and Children's Hospital of Philadelphia Research Institute.

Driven Data Features

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