The Green Negligee project addresses the environmental and social problems of a Soviet era collective housing district Petrzalka (population 115,000, density > 4000 persons/km2), in the Slovak capitol of Bratislava. It imagines a novel spatial and systemic transformation that prioritizes local quality of life and provides an alternative to the prevailing culture of consumption that has arisen in Eastern Europe since the fall of communism and the transition from collective ownership to a neo-liberal globalized economy. The Green Negligee is a system that creates a thick, inhabitable boundary layer between the buildings and the landscape. This new ground reintegrates the built environment and the local ecology, serving as a host for alternative energy and material processing systems. It creates microclimates that reduce building energy consumption, while at the same time serving as an armature for biodiversity and localized, low impact leisure activities such as wine-making and gardening.The system is composed of cable nets, a series of components which populate the nets, and landscape elements. Potential system configurations can be explored using a data driven design protocol that uses a dynamic four dimensional digital data map to determine which component distributions are appropriate for particular zones of the district. Aggregated using Grasshopper and Rhinoceros, the data map was constructed using site-collected information, public land use databases, photogrammetry, and simulation tools, including radiation mapping and computational fluid dynamics. The protocol itself is a multistep iterative digital process. First, the data map is examined and areas amenable to intervention are determined. Then surfaces are deployed in relation to existing building structure and transformed into cable nets, which are then relaxed inside the data model using Grasshopper and Kangaroo. The relaxed net is then analyzed in relation to the data map, and a probability matrix is used in conjunction with human design sensibility to determine appropriate secondary component distributions. As this process is stochastic, there are multiple possible deployment strategies for any given three dimensional surface moving through the map. Thus the protocol identifies, for example, areas where wind power devices are likely to be productive, but plants on trellis elements might have difficulty establishing themselves. Potential cable net and component configurations are then analyzed using Sustain (prototype energy simulation software developed at Cornell University), which provides feedback on the impact of the cable nets and the systems they host on both the buildings and the surrounding environment. This process can be repeated and tuned until a configuration is found that meets both quantitative and qualitative performance criteria. The physical elements of the system are lightweight and loosely bound together. The component systems are not integral parts of the cable net; rather they are designed as an overlay that can be reconfigured over time. Therefore the system is adaptive in the design phase, when potential configurations can be tested and explored, and adaptive in the use phase, when existing pieces can be redeployed as conditions on the ground change and new situations demand a material response.