HEИндивидуална стипендия2023–2025

MUNDI · Managing Uncertainty in Disaster Risk Reduction ─ An Ethnography of Data Practices in Ghana’s Emergency Preparedness and Early Intervention Infrastructure

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2023-09-01 → 2025-08-31
Финансиране от ЕС: 230 774 €
Участници: 1
Схема: HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Работата с данни при природни бедствия, епидемии и минни инциденти в Гана се анализира чрез проследяване на действията на хората на терен. Това помага да се разберат най-добрите практики за реагиране при спешни ситуации, когато качеството на информацията е ограничено.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Managing Uncertainty in Disaster Risk Reduction ─ An Ethnography of Data Practices in Ghana’s Emergency Preparedness and Early Intervention Infrastructure

The project “Managing Uncertainty in Disaster Risk Reduction (MUNDI) ─ An Ethnography of Data Practices in Ghana’s Emergency Preparedness and Early Intervention Infrastructure” was motivated by the urgent need to understand best practices for emergency response in contexts of constrained data coverage and quality. The project’s methodology sought to illuminate the so far invisible, collaborative “backstage” labour of frontline data practitioners with platformized data collection and analysis tools. It did so through a thick ethnographic engagement with data practices and inter-agency “data journeys” in three different emergency contexts in Ghana: flooding, disease outbreak, and man-made disasters in connection with (mining) accidents. The project pursued three interrelated scientific objectives. Objective 1 – Institutional arrangements – mapped the institutional landscape of disaster datafication in Ghana. Objective 2 – Data practices – entailed a praxeography of the production of disaster data in these networks. Objective 3 – Acceleration – mobilized STS approaches to understand the participation of computational infrastructures in the acceleration of disaster datafication.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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 Ghanas 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 countrys 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.

Оригинален текст от CORDIS (на английски).

Участници

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