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WorldPop Global Demographic Data (Global2)

Project
The substantial growth in use of WorldPop demographic data, particularly for health, humanitarian- and development-related applications, models and platforms, has led to a major rise in custom requests for maintenance and updates, in particular projections beyond 2020, at a time when funding for global mapping has become limited, leaving little capacity within the team to meet a growing demand from the scientific, operational and governmental communities that are reliant on WorldPop data. While efforts have been made to develop open geospatial tools, training materials, and a WorldPop Spatial Data Infrastructure (SDI) to meet many demands and build sustainability, unfortunately, the production of global demographic data often suffers from a “tragedy of the commons”, with their value across all fields meaning that specialist funders often assume it should be the duty of others to support it. WorldPop is proposing here funding to support two key areas in its global mapping work to help meet and reduce these growing demands: 1) updating datasets and methods; and 2) improving access and ease of utilisation. The proposed activities are designed to complement, integrate with, and support the work of WorldPop in GRID3, where more in-depth government-driven country-focussed demographic modelling stakeholder engagement and capacity strengthening are undertaken, typically relying and building upon the architecture developed and datasets produced in WorldPop’s global mapping work.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

SORICHETTA ALESSANDRO   Scientific Manager  

Departments involved

Dipartimento di Scienze della Terra Ardito Desio   Principale  

Type

INTLI - Finanziamenti internazionali

Funder

BILL & MELINDA GATES FOUNDATION
External Organization Funding Organization

Date/time interval

January 1, 2023 - December 31, 2024

Project duration

24 months

Research Areas

Concepts


Settore GEO/05 - Geologia Applicata

Publications

Outputs

Global gridded multi-temporal datasets to support human population distribution modelling 
GATES OPEN RESEARCH
GATES FOUNDATION
2025
Academic Article
Open Access
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