Testing, Innovating & Educating with AgLivingLabs Inspired by regenerative agriculture techniques, advancements in digital agriculture, and unique contexts
As NASA Lifelines enters its second year, DevGlobal is proud to reflect on this initiative we’re leading in partnership with NASA.
World GIS Day reminds us how geospatial technology connects people, places, and possibilities.
In an era where innovation is a necessity, companies are increasingly turning to business accelerator programs to surface novel approaches, create new strategic directions and generate change
Discover the WomenConnect Challenge India: a USAID and Reliance Foundation initiative led by DevGlobal and DAI for gender-inclusive digital transformation.”
How GIS expertise and local voices maximize program impact for The Carter Center and Ethiopia’s Guinea Worm Eradication Program
NASA Lifelines launched today to accelerate and improve humanitarian decision-making using Earth science. Led by the services firm
DevGlobal’s Jeff Pituch and James Haithcoat recently lead an effort to capture the processes and lessons learned by each grant partner organization of the Patrick J. McGovern Foundation’s 2022 Climate + Data Accelerator Program.
In support of PepsiCo’s end-to-end transformation strategy for sustainability in the agricultural sector, DevGlobal is facilitating the launch
Agricultural practices and food systems play a major role in many pressing challenges, including climate change, nutritional security,
The ramp project is working with the World Health Organization to map healthcare buildings, a tool that will support humanitarian emergency response teams in the likelihood of the next pandemic. In this blog post, we discuss the labeling process, answering a fundamental question: How can we ensure generating high-quality labels working with remote teams?
“What is good enough” is a living question that has evolved over the span of the ramp project. It starts at the end, in defining our use case and engaging end-users as advisors to get an idea of how the model outputs will be utilized. Working backward in this way has allowed us to craft our approach to establishing training data guidance and quality assurance . . .