In this episode of Bits&Bytes we hear from Gabriele Erba and Domenico Di Nicola to discover how UNICEF’s HOPE platform is transforming humanitarian aid through digital cash transfers, open-source technology, and AI-driven innovation. We dive into how HOPE helps deliver secure, scalable, and fast financial assistance to families with children in need—across more than 30 countries and over $850 million distributed.
Learn how HOPE (Humanitarian cash Operations and Programme Ecosystem) integrates with financial service providers, uses face recognition to prevent fraud, and empowers governments and humanitarian organizations with modular, open-source software. We also explore the future of cash assistance, including AI-powered automation, risk mitigation, and user-centered design.
Whether you're in humanitarian tech, digital finance, or child protection, this episode offers insights into how technology can drive impact at scale.
All content for Bits&Bytes the podcast is the property of UNICEF Digital Technology and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this episode of Bits&Bytes we hear from Gabriele Erba and Domenico Di Nicola to discover how UNICEF’s HOPE platform is transforming humanitarian aid through digital cash transfers, open-source technology, and AI-driven innovation. We dive into how HOPE helps deliver secure, scalable, and fast financial assistance to families with children in need—across more than 30 countries and over $850 million distributed.
Learn how HOPE (Humanitarian cash Operations and Programme Ecosystem) integrates with financial service providers, uses face recognition to prevent fraud, and empowers governments and humanitarian organizations with modular, open-source software. We also explore the future of cash assistance, including AI-powered automation, risk mitigation, and user-centered design.
Whether you're in humanitarian tech, digital finance, or child protection, this episode offers insights into how technology can drive impact at scale.
Anthony Mockler and Hugo Ruiz Verastegui are data scientists at UNICEF's Data Lab in Bangkok. Discover how their unique backgrounds and experiences in AI and machine learning are driving innovative solutions for humanitarian challenges. From detecting illegal landfills to supporting emergency responses with real-time data, Anthony and Hugo share their journey, motivations, and the impact of their work. Learn about their commitment to open source and digital public goods, and their vision for the future of AI in humanitarian aid.
Bits&Bytes the podcast
In this episode of Bits&Bytes we hear from Gabriele Erba and Domenico Di Nicola to discover how UNICEF’s HOPE platform is transforming humanitarian aid through digital cash transfers, open-source technology, and AI-driven innovation. We dive into how HOPE helps deliver secure, scalable, and fast financial assistance to families with children in need—across more than 30 countries and over $850 million distributed.
Learn how HOPE (Humanitarian cash Operations and Programme Ecosystem) integrates with financial service providers, uses face recognition to prevent fraud, and empowers governments and humanitarian organizations with modular, open-source software. We also explore the future of cash assistance, including AI-powered automation, risk mitigation, and user-centered design.
Whether you're in humanitarian tech, digital finance, or child protection, this episode offers insights into how technology can drive impact at scale.