Direct Relief has received a $250,000 grant from the Patrick J. McGovern Foundation to advance its machine learning–based forecasting capabilities for humanitarian medical aid. Building on its existing analytical framework, the funding will strengthen the organization’s ability to anticipate drivers of medical need and forecast demand for specific medical products, improving the speed, accuracy, and equity of emergency health responses worldwide.
The grant will support the use of data science and artificial intelligence to enhance Direct Relief’s capacity to predict demand for essential medicines and medical supplies before, during, and after crises. By applying machine learning models informed by real-world health, logistics, and disaster data, the organization aims to improve planning, reduce response delays, and ensure that critical medical resources reach the most vulnerable communities in a timely manner.
This investment forms part of the Patrick J. McGovern Foundation’s broader global commitment to advancing artificial intelligence for public benefit. Announced as part of a $75.8 million initiative spanning 149 grants across 13 countries, the Foundation’s support focuses on strengthening public institutions, expanding human agency, and addressing pressing global challenges such as crisis response, health equity, and climate resilience.
Direct Relief emphasizes that artificial intelligence enables the rapid integration and analysis of complex and large-scale data, allowing humanitarian organizations to respond more proactively to emerging health needs. The funding will help the organization identify, validate, and address medical needs in a more forward-looking and efficient manner, consistent with its core values of trust and accountability.
With a long history of using data and analytics to guide humanitarian operations, Direct Relief manages one of the world’s largest privately funded medical supply chains. The enhanced forecasting system will build on this foundation, strengthening decision-making while reinforcing transparency and public benefit safeguards. For example, long-standing data on respiratory protection needs can be combined with early indicators of social vulnerability and environmental risks, such as wildfire smoke, to improve preparedness and accelerate medical aid delivery.
The grant also reflects the Patrick J. McGovern Foundation’s long-term investment in technology for social good, with more than $500 million committed over the past decade. Overall, the funding underscores a shared commitment to applying emerging technologies responsibly to ensure that innovation in humanitarian response delivers tangible benefits to patients, communities, and those most in need.
