As Lew Platt, CEO of Hewlett Packard, once said, "If only HP knew what HP knows, we would be three times more productive,” pointing to the gap between the value of data and its real-world application. Government agencies have found it difficult to serve taxpayers because of the technical, bureaucratic, and ethical issues associated with access and use of sensitive data.
Julia Lane explains how the Coleridge Initiative has partnered with Jupyter to design ways that can address the core problems such organizations face. These methods are best summarized as ensuring that the five "safes” are addressed—that is, safe people working on safe projects in safe settings can access safe data, and safe outputs are released.
Julia Lane is a professor at the NYU Wagner Graduate School of Public Service and the NYU Center for Urban Science and Progress as well as a NYU provostial fellow for innovation analytics. Previously, Julia was a senior managing economist and institute fellow at American Institutes for Research, where she cofounded the Institute for Research on Innovation and Science (IRIS) at the University of Michigan. Over her career, Julia has held positions at the National Science Foundation, the Urban Institute, the World Bank, American University, and NORC at the University at Chicago.
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