Landsat's earth observation data support disease prediction, solutions to pollution, and more

How can open access to earth imagery help predict disease spread or identify solutions to toxic waterways? The Landsat program–the longest-standing continuous global record of the Earth’s surface through satellite imagery–has enabled these and other solutions in support of people, planet, and prosperity since its launch in the 1970s.

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BudgIT empowers Nigerian citizens through open data

Frivolous spending and opaque processes plague Nigeria’s federal budget. Civic startup BudgIT launched in 2011 to take on this challenge. The organization aims to make budgetary data from Nigeria’s Federal Government more accessible and understandable through digital technologies, including making PDFs machine-readable and designing visual representations of the data for those with low data literacy.

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Bangladeshi slums reduce maternal and infant mortality with the help of innovative health data

International nonprofit BRAC developed a data-driven approach to account and care for mothers and young children in Bangladeshi slums through healthcare initiative Manoshi. Manoshi built the capacity of local health workers in Bangladesh to derive actionable data from social mapping, local censuses, and real-time data-sharing via mobile technology, contributing to more timely and effective maternal health interventions in urban slums.

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Data sharing via SMS strengthens Uganda's health system

The Ugandan government, with the support of UNICEF, began leapfrogging its outmoded health system in 2011 by introducing an SMS-based health reporting program called mTRAC. This program has supported significant improvements in the country’s health system, including halving of response time to disease outbreaks and reducing medication stockouts, the latter of which resulted in fewer malaria-related deaths.

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Data modeling helps reduce risk of violent crime in Atlantic City

High rates of violent crime dealt a blow to Atlantic City’s citizens and businesses in the late 2000s and early 2010s. Hamstrung by a reduced force, the Atlantic City Police Department turned to new solutions to optimize resources for predicting and preventing crime. This included risk terrain modeling (RTM), an analytical technique combining crime data and environmental risk factors to identify high-risk areas.

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Achieving coherence between data policies for reporting against the Sendai Framework and the Sustainable Development Goals

The number and scope of organizations and disciplines involved in disasters is large, and the different ways in which they approach loss measurement can prove challenging to manage. However, in order for countries to report their progress on these issues against the Sendai Framework and the SDGs, robust data and information systems will be crucial.

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Open Algorithms: Participatory Design for Data Projects

The Open Algorithms project is a socio-technological innovation to leverage private sector data for public good purposes by “sending the code to the data” in a privacy-preserving, participatory, commercially sensible, scalable, and sustainable manner. This brief highlights replicable lessons from the experiences of OPAL pilot projects in Senegal and Colombia in terms of participatory design of data projects.

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