
Signal as Infrastructure explores the idea that trustworthy public information functions as a form of civic infrastructure.The project draws on nearly fifteen years of field experience, including the operation of Jersey Shore Hurricane News during Superstorm Sandy and the decade that followed; the development of civic information networks after Hurricane Maria in Puerto Rico; and work advising global Information Ecosystem Assessments in fragile and post-conflict environments.At the center of the project is a simple argument: information is not just content; it is infrastructure. When information systems collapse, communities lose orientation, trust, and the ability to act. Without reliable signal, people are left to navigate uncertainty alone. But when public information systems are designed well, they help communities maintain awareness, coordinate action, and recover more effectively.Just as importantly, these systems operate long before disaster arrives. The foundations of resilience are built during everyday civic life, when communities develop shared habits of communication, verification, and trust.The work draws from several intellectual and professional traditions. It is informed by the community-centered urbanism of Jane Jacobs, by systems thinking, by humanitarian information practice developed through organizations such as Internews, and by research in civic media, crisis communication, and participatory design. These influences are grounded in lived field experience and shaped through collaboration with planners, journalists, first responders, civic technologists, and humanitarian practitioners.Across these environments, a recognizable pattern begins to emerge: communities rely on trusted flows of verified, emotionally calibrated, actionable knowledge to stay oriented during periods of uncertainty. These flows function much like other forms of infrastructure, supporting coordination, trust, and collective decision-making.The idea of Signal Architecture grows out of these observations. It can be understood as a working framework and methodology for designing public information systems that help communities detect, verify, and synthesize signals about changing conditions.At its core, the project asks a simple question:What would it mean to design public information systems with the same care we apply to water systems, transportation networks, or electrical grids?