Lecture Title: Landscape and planning in the predictive state: New negotiations for landscape architecture in the smart Earth era
Lecture Synopsis: Environmental planning is undergoing a transition from the environmental state—characterized by regulatory processes like environmental impact assessment—to a “predictive state” driven by machine learning, geospatial artificial intelligence, and real-time environmental sensing. This predictive turn complicates the role of civil society, experts, and democratic deliberation in environmental governance. This talk for landscape architects and planners is delivered in three parts: (1) a rapid introduction to key issues raised in critical geography on the socio-ecological implications of the real-time monitoring, prediction and regulation of landscapes; (2) a few examples in Southeast Asia of scientists and civil society deploying predictive models in ecosystem services and ecological connectivity for landscape assessment and infrastructure planning and design; and (3) some strategic approaches for landscape architecture during this transition.

Bio: Ashley Scott Kelly is assistant professor in landscape architecture at the University of Hong Kong. Ashley’s work focuses on scenario-building and filling knowledge gaps for sustainable development, applying design methods to land change and landscape ecology for the study, advocacy, design and delivery of projects in ecologically complex and contested landscapes. Recent works include tropical road design guidelines, wildlife corridor modeling, and coupling remote sensing with historical narratives for novel impact assessment. Ashley teaches landscape planning and geospatial technologies and engages civil society across Southeast Asia. He is co-author of Critical Landscape Planning during the Belt and Road Initiative (Springer, 2021).



Posted by: Ashley Scott Kelly (Design for Conservation)


































