- The session introduces WorldPop’s work in developing demographic data and explores how geospatial data, satellite imagery and population modelling using AI can be used to address gaps in population data, particularly in regions where census information is limited, outdated or unavailable
- The webinar demonstrates how WorldPop combines a range of data sources, including census records, household surveys, building footprints and Earth observation data, to produce high-resolution population estimates at local, national and global scales. These datasets help answer questions about where people live and how populations are distributed
- WorldPop’s use of AI is discussed, where machine learning can be used to complement traditional sources of population data and fill gaps via data modelling and projections
- The presentation explains the methodologies used to model population distribution and demographic characteristics, highlighting how advances in geospatial technologies and artificial intelligence are improving the accuracy and accessibility of population data
- The webinar draws on international case studies showcasing how WorldPop data supports decision-making and supports emergency preparedness and response. Examples include identifying populations at risk from flash floods in Nepal, supporting vaccination campaigns, planning school provision in places like Sierra Leone and improving the targeting of humanitarian aid in crisis-affected regions
- The webinar showcases how WorldPop has supported governments, national statistics offices and international agencies by providing population insights in areas where reliable demographic data is difficult to obtain. This includes supporting census planning, service delivery and evidence-based policymaking in countries like Afghanistan and South Sudan
- The session concludes highlighting the importance of collaboration and capacity building, demonstrating how partnerships with local organisations help ensure that data, tools and analytical methods can be applied sustainably and effectively within different national contexts
Please note: The views of our speakers do not necessarily reflect the opinion of the Royal Geographical Society.
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