Ryan Stoll

Papers

Total Citations

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About

Ryan Stoll is a pioneering researcher at the intersection of digital health, social media, and artificial intelligence, with a focus on youth engagement and preventative interventions. His most cited work, "Utilizing the Fediverse and AI-bots for Youth Engagement During COVID-19 in a Hybrid Preventative Intervention" (2024, 2 citations), introduces a novel framework that leverages decentralized social media platforms and AI-driven bots to deliver targeted behavioral health interventions during crises. Stoll’s major contribution lies in demonstrating how AI-bots can enhance participant interaction, adherence, and engagement in hybrid interventions—while critically addressing the ethical implications of automated social media use. This work is notable for its timely application during the COVID-19 pandemic, offering a scalable model for reaching vulnerable youth populations. Though early in his career, Stoll’s research is gaining traction for its innovative blend of technology and public health, positioning him as a forward-thinking voice in digital intervention design. His findings underscore the potential of the Fediverse and AI to transform preventative care, while cautioning against unintended ethical consequences.