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By Rachel Wells, Senior Manager, Center of Excellence, DataKind Last week, we announced the public release of DataKind’s Playbook and hope you’ve had a chance to explore the Playbook. Now, you might be wondering how we got here or want to co-create a Playbook for your community. This blog outlines …

By Rachel Wells, Senior Manager, Center of Excellence, DataKind Have you ever wanted a behind-the-scenes look at how we work at DataKind? Interested in learning best practices and lessons learned from almost a decade of doing Data Science and AI for Good? Do you have a passion for providing pro …

In late 2015, DataKind scoped a DataCorps® project with an ambitious challenge: help a team of researchers with the Science for Nature and People Partnership (SNAPP), led by DataKind partner Conservation International , make evidence synthesis easier and more accessible to a wide community of conservation practitioners. Evidence synthesis is …

The onslaught of COVID-19 and the subsequent economic recession has left many without a plan to cover the costs of housing. Recently, the federal moratorium on evictions, designed to protect millions of tenants from being forced from their homes, was struck down by the Supreme Court. According to a recent …

Tuberculosis (TB) is the leading infectious cause of death worldwide. Often referred to as the “forgotten pandemic” it’s a disease found in every country in the world, and one of the most deadly . It’s responsible for the cycle of poverty and illness that traps individuals, families, and communities for …

We’re thrilled to welcome Lauren Woodman as the new CEO of DataKind. She brings to the role over 25 years of experience working at the intersection of technology, development, policy, and NGOs, and we know we’ll do great things together! We sat down with the tech-for-good veteran to discuss DataKind’s …

We’re thrilled to introduce Lauren Woodman as our new CEO! Lauren’s notable career has been defined by the intersection of technology, development, and policy. She’ll lend her expertise to expanding DataKind’s reach to generate sustained support for Data Science and AI for Good projects and to continue solving community-based problems. …

Data ethics are essential for delivering responsible data science, machine learning, and AI projects. However, as a growing field, they’re hotly debated, and many – DataKind included – turn to experts to learn from their experiences. At DataKind, we understand that with overwhelming information, and a changing field, experts can …