Recently we’ve been working with the team at Living Lab Northern Rivers, thinking about how to build a more holistic picture of disaster recovery and climate adaptation.
The conventional approach to understanding these challenges is to focus on technical, quantifiable and geospatial data. As best I can tell, this happens for a few different reasons: it’s the easiest information to collect; engineers and planners are more familiar and comfortable working with these types of information; the conventional questions can be answered by this information; and having ‘the numbers’ mapped out gives decision-makers a feeling of certainty and clarity.
But what happens to information that is unquantifiable, subjective and difficult to collect? What kinds of decisions are made when there’s no information about things like community values, concerns and experiences?
It’s much easier to measure the tangible, environmental dimensions of disasters. But natural disasters are inherently social because they happen to people. Recovery and adaptation are things that people do, together. This means that understanding community experiences, attitudes and values is essential when deciding how best to recover and adapt.
The aim of our work is to build a picture of natural disaster and adaptation in the Northern Rivers that puts conventional data in relation with human experience. We’re doing this to help communities and government form richer and more nuanced understandings of the landscape of adaptation.
To guide this work, we’ve developed a new framework for understanding and mapping information about adaptation: