MUNDI
Financiado
Managing Uncertainty in Disaster Risk Reduction ─ An Ethnography of Data Practic...
Managing Uncertainty in Disaster Risk Reduction ─ An Ethnography of Data Practices in Ghana’s Emergency Preparedness and Early Intervention Infrastructure
The MUNDI MSCA project explores the uses of digital innovations for the predictive anticipation, real-time analysis, and early intervention in multiple and intersecting threats to human security in Ghana. Specifically, the project...
The MUNDI MSCA project explores the uses of digital innovations for the predictive anticipation, real-time analysis, and early intervention in multiple and intersecting threats to human security in Ghana. Specifically, the project takes the focal areas of Ghana’s multi-sectoral emergency preparedness and response effort – that is, the spread of infectious disease, climate-change related flooding, and man-made disasters in the context of mining activities – as case studies to explore data practices in the country’s national disaster risk reduction (DRR) strategy. Central tools of DRR, including strategic and evidence-based risk assessment, operational plans and risk communication, are directly tied to the systematic and standardized production and analysis of data about populations and their environs. This has raised concerns about data quality in contexts characterized by historically incomplete and fragmented population registers and statistical reporting systems. The MUNDI project seeks to answer the research question how innovations in data practices anchor the acceleration of interventions in human security in spite of multiple and layered uncertainties about data sources, models and predictions. Exploring this question in the context of Ghana will advance our empirical understanding of the base processes and material foundations of building real-time datafication in emerging data systems, develop new theoretical approaches to evidence-production under conditions of sustained uncertainty, and add to our methodological toolkit new frames for the comparative analysis of digital population data infrastructuring for the purpose of impact forecasting, early warning, and rapid deployment of first responders.
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Duración del proyecto: 26 meses
Fecha Inicio: 2023-06-29
Fecha Fin: 2025-08-31
Fecha Fin: 2025-08-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-06-29
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2022-PF-01-01:
MSCA Postdoctoral Fellowships 2022
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
231K€
Líder del proyecto
ITUNIVERSITETET I KOBENHAVN
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5