Please read our student and staff community guidance on COVID-19
Skip to main content Skip to navigation

Engaging Stakeholders in Sustainable Flood Risk Governance for Urban Resilience

Project Overview

Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities. Rethinking how flood-related data is produced, and how it flows, can help build sustainable, flood resilient communities.

To this end, this project develops three innovative methods around data practices, across different sites and scales:

  1. Making visible existing flows of flood-related data through tracing data;
  2. Generating new types of data at the local level by engaging citizens through the creation of multimodal interfaces, which sense, collect and communicate flood data, and;
  3. Integrating citizen-generated data with other data using geo-computational techniques.

These methodological interventions will transform how flood-related data is produced and flows, creating new governance arrangements between citizens, governments and flood experts and, ultimately, increased community resilience related to floods in vulnerable communities of Sao Paulo and Rio Branco, Brazil.

The project will be conducted by a highly skilled international team of researchers with multiple disciplinary backgrounds from Brazil, Germany and the UK. The project team in close partnership with researchers, stakeholders and the public will work on a multi-site case study of flood risk management in Brazil. Furthermore, the methods and results of this case study will be the basis for a transcultural dialogue with government organisations and local administration involved in flood risk management in Germany and the United Kingdom.

Our Approach

The schematic summarises the research approach, scales and work packages followed by the Waterproofing Data project team.