This paper introduces FRASP (Functional Reactive Approach to Self-Organisation Programming), a novel macro-programming paradigm that reinterprets aggregate computing through the lens of functional reactive programming (FRP). Implemented as a Scala DSL, FRASP provides reactive abstractions—such as Flow for time-varying distributed computations and NbrField for neighbor data—that enable declarative specifications of self-organizing behaviors. Examples include gradient creation and self-healing communication channels. Through microbenchmarks, FRASP demonstrates efficient and expressive modeling of adaptive collective behaviors in distributed systems.