At DataKind, we’ve entered an exciting chapter in our journey—one that builds on nearly 15 years of experience harnessing data science and AI to power social impact. We’re thrilled that Erin Baudo Felter has joined the DataKind Board of Directors to support and guide us through this important phase of our evolution. From late 2023 […]
In many frontline health systems, poor data quality perpetuates a cycle of mistrust and inefficiency – impacting patient care at scale. The Data Observation Toolkit (DOT) was created to break this cycle. It’s a community-informed, open-source software and certified Digital Public Good designed to automate data quality checks, detect anomalies, and enhance trust in health
From Evidence to Action: The research that shaped the Data Observation Toolkit Read More »
Let’s give a warm welcome to the newest member of the team. Join us in celebrating Emma Turner as DataKind’s Cloud DevOps Engineer! Emma brings a unique perspective on harnessing data and technology for social good. With over seven years of experience in the IT and data sectors, Emma excels in system optimization and process
Welcome Emma Turner, DataKind’s Cloud DevOps Engineer! Read More »
The DataKind Playbook has just received an exciting revamp, transforming it into a comprehensive, globally-accessible knowledge base for designing, implementing, and following through with impactful AI and data science projects. In response to the needs of social impact organizations, we’ve introduced ten new articles crafted specifically to enhance their capacity and enable them to grow
DataKind Playbook: Building capacity to leverage AI and data science Read More »
Meet the newest member of the team. Join us in celebrating Gavin Fulmer as DataKind’s Senior Manager, Research! Gavin brings over 20 years of experience in educational research, assessment, and evaluation methods. Before joining DataKind, he was a professor with the University of Iowa and Singapore’s National Institute of Education, program director for the National
Welcome Gavin Fulmer, DataKind’s Senior Manager, Research Read More »
DataKind introduces three new data-driven products to enhance financial inclusion. These tools, developed with support from the Mastercard Center for Inclusive Growth, aim to address challenges faced by financial institutions and communities in accessing and utilizing financial services. The products include the Economic Opportunity Datascape, which provides a platform for accessing financial well-being data, the
Unveiling Three DataKind Products: Data-Driven Impact For Financial Inclusion Read More »
We spoke with Milagros Arcos, Sanima’s Operations Manager, about our partnership to leverage data science to expand safe sanitation solutions for a cleaner, healthier Lima. She talks about the focus and future of the Peruvian nonprofit and what she thinks any social impact organization needs to have in place in order to tackle the world’s
Partner Spotlight: Sanima Read More »
Sanima, a Peruvian nonprofit, is pioneering sustainable, safe, and dignified sanitation alternatives in Lima. To help improve their service delivery and scale their vital services, DataKind partnered with Sanima to optimize waste collection routes, using (and enhancing) our Container-Based Action Routing Tool (CART). Meeting the unique needs of sanitation in complex urban environments, our collaboration
Recognizing a growing demand for AI-driven capacity building in the social sector, DataKind launched Learning Circles to equip social impact leaders with practical tools and knowledge. This collaborative effort fosters peer-to-peer community learning, enabling social impact organizations to tailor data strategies to their unique needs. By pairing participants with seasoned data experts, DataKind Learning Circles
DataKind GenAI Learning Circles: Driving data maturity and social sector community Read More »
Leveraging generative AI to transform how data is used for humanitarian action, DataKind, Save the Children, and Microsoft launched the Humanitarian Data Insights Project (HDIP). This groundbreaking initiative enables humanitarian workers at all levels of data maturity to generate insights from complex data through a unique application of large language models, helping to make faster,
