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Creating Safer Streets Through Data Science

Partner with New York, Seattle, New Orleans, and Microsoft to explore how data science can help the Vision Zero movement, which aims to reduce traffic-related deaths and severe injuries to zero
Help New York City’s Department of Transportation improve traffic safety on its streets by understanding what existing safety interventions are working and where there is potential for improvement so the city can better allocate resources
Inform Seattle’s Department of Transportation’s Bicycle and Pedestrian Safety Analysis to provide policy makers and engineers with actionable information to best allocate funding for future safety interventions and to find out what factors may contribute to crashes–such as traffic volume, street characteristics and environmental variables
Help the City of New Orleans’ Office of Performance Accountability understand how effective street treatments, like bike lanes, traffic signage and other interventions, are at preventing traffic injuries and fatalities to inform future efforts

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Using Data to Create Paths out of Homelessness

Understand who benefits from Llamau’s services so that the organization can better support the young homeless and vulnerable populations they serve.
Identify projects and locations that have the best outcomes, as well as those that need improving, and investigate contributing causes and factors.
Evaluate the outcomes from each of Llamau’s services to gain insights to help improve the services they provide to individuals.

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Empowering Health Worker and Community Health Systems: Data Integrity and the Future of Intelligent Community Health Systems in Uganda

Data Integrity and the Future of Intelligent Community Health Systems in Uganda One billion people lack access to healthcare because they live too far from a health facility, so digitally-enabled Community Health Workers (CHWs) have been a lifeline in communities where health infrastructure is lacking. For instance, it’s estimated that …

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The Importance of Installing Checkpoints Throughout a Project to Maintain Data Ethics Standards

By Afua Bruce, Chief Program Officer, DataKind This is the second blog post in our ethics blog series. Read about how DataKind defines data ethics and embeds ethical checks throughout the project process in this introductory blog on our ethical and responsible data science practices at DataKind. This blog includes …

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Lessons from DataKind San Francisco’s Launch of DataAdvisory Projects

By DataKind San Francisco From financial forecasting to targeted advertisements, advancements in data collection and analysis have benefited a myriad of for-profit organizations today. Unfortunately, due to limited funds and resourcing, such benefits often don’t reach social impact initiatives. At DataKind, our core mission is to enable mission-driven organizations to …

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