DataCorps® projects
DataCorps projects bring together teams of pro bono data scientists with social change organizations on long-term projects that use data science to transform their work and their sector. We help organizations define their needs and discover what’s possible, then match them with a team that can translate those needs into data science problems and solve them with advanced analytics. In some cases, organizations pay a modest management fee based on their budget to demonstrate their commitment to the project.
How it works

DataCorps projects are truly a journey, filled with twists and turns and data adventure galore. Projects are led by volunteer Data Ambassadors and Project Managers, while DataKind staffs and manages the projects from start to finish. To make sure no one gets lost along the way, all projects follow the five phases of work illustrated below.

DataCorps teams are made up of some of the top data scientists and project managers in the sector and are led by a Data Ambassador and Project Manager. Each DataCorps project is staffed with a different mix of skillsets depending on the project type. Volunteer with us!
Any mission-driven organization can apply to work with a DataCorps team, which includes nonprofits, social enterprises, and government agencies. They designate a partner representative as point person for the DataCorps team. Partner with us!
DataCorps Team
Partner Organization

Project Manager

Data Ambassador

Data Experts

Partner Representative

Project Champion

Data Specialists

Problem Exploration
The team wrangles the organization’s data and identifies external data sources to leverage.
Networking and quick consultation to help organizations begin their data science journey.
Networking and quick consultation to help organizations begin their data science journey.
What gets produced?
Whether it’s a report revealing findings or an automated algorithm identifying people in need, these projects are designed to produce data science solutions that lead to action and transform an organization’s work.

Read about how DataCorps projects helped these organizations.
Using Time Series Forecasting to Improve Access to Safe Sanitation
More accurately forecast future waste volume collected across Sanergy's FLT network. Enable updates of forecasts as more data is collected and in response to...
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Advancing Financial Inclusion in Senegal Using Predictive Modeling
Using Microcred’s loan application data and internal loan status information, build statistical models to help predict customer default and better inform...
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Giving a Voice to Rural Women Through Mobile Surveys
Analyze the impact of different factors VOTO Mobile can control to increase mobile survey response rates among rural women in developing countries.
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Forecasting Water Demand in California When Every Drop Counts
Develop a “proof of concept” water demand forecasting model using flow data at the microzone level for potential future scaling to other retailers in...
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