Innovation / Data Science for Social Impact

Data Science for Social Impact

Current Initiative

Since its founding, The Rockefeller Foundation has been a data-driven philanthropy focused on innovation and finding solutions to the world’s most pressing and persistent challenges.

Today, our Data Science for Social Impact team leverages research, analysis, funding, and partnering capabilities to ensure that the most advanced data science and machine learning tools are deployed in ways that empower underserved communities and increase equity.

To do this, we hold frequent convenings in order to build a network that brings together data scientists from across the field. We build products for internal teams within the Foundation, and we build trusted relationships with grantees. Across the U.S. and worldwide, we make early investments in young organizations and connect them with other partners. Our research helps us find people and organizations that have solved problems using data science. We work to apply those solutions to other problems like climate change and climate health.

Why It Matters

Innovation is critical to deal with a changing world, increasing sustainability, and equitably supporting human well-being.
  •  
    >0

    of the global population

    lacks access to the internet [Brookings]

  •  
    0%%

    of organizations see data science

    as key to advancing digital innovation

  •  
    ~0

    non-profits and foundations

    are working in the data-for-social-good space

Impact Stories

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