News

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  • Supporting State Science and Technology Policy Fellows

    Chan Zuckerberg Initiative Awards Nearly $450,000 for Science Policy Fellows in Idaho, Missouri, and Virginia

  • Chan Zuckerberg Initiative Awards $5 Million for Open Source Software Projects Essential to Science

    New Grants Support Software Projects that Accelerate Biomedical Research and Serve the Larger Scientific Community

  • Expanding Computational Skills in Science to Support Research

    The Chan Zuckerberg Initiative and the Gordon and Betty Moore Foundation Partner to Support The Carpentries in Teaching Foundational Coding and Data Science Skills to Researchers Worldwide

  • The impacts of Chan Zuckerberg ID technology on global health

    Journey to the frontlines of global health as researchers use Chan Zuckerberg ID tech to detect the cause of a meningitis outbreak in Bangladesh.

  • Supporting a Patient-Led Movement to Cure ALS — and Other Rare Diseases

    New $453,000 Grant Supports I AM ALS to Develop Technology and Build a Scalable Movement to Fight Amyotrophic Lateral Sclerosis

  • CZI Awards $17 Million to Bring More Engineering Expertise to Biomedical Imaging

    New Imaging Scientists Program Supports Better Tools, Increased Collaboration Between Optical Engineers and Biomedical Researchers

  • How tech can help tackle the toughest challenges

    The Chan Zuckerberg Initiative is a place where engineers can build technology that will truly make people’s lives better.

  • How tech can help tackle the toughest challenges

    The Chan Zuckerberg Initiative is a place where engineers can build technology that will truly make people’s lives better.

  • Working to solve a family’s medical mystery

    CZI’s goal is ambitious: to support the science & technology that will make it possible to cure, prevent and manage all disease by the end of the century. Based on the progress I’ve seen, I believe we’re taking steps in the right direction.

  • Exploring Computational Tools

  • Announcing 38 Grants Supporting The Human Cell Atlas

  • Women in Data Science and Machine Learning