On April 9, 2025, alongside the Population Association of America (PAA) Conference in Washington, DC, the "Novel Approaches to Poverty and Population Mapping" workshop convened over 80 experts from across the geospatial, socioeconomic, and development sectors. The workshop was organized by CIESIN at Columbia University with the POPGRID Data Collaborative and with support from George Washington University.

Citation: Gill, J., Pope, A. "How open source AI can improve population estimates, sustainable energy, and the delivery of climate change interventions." Engineering at Meta, 3 October 2024, https://engineering.fb.com/2024/10/03/ml-applications/open-source-ai-population-maps-meta/

Citation: Karagiorgos, K., Georganos, S., Fuchs, S. et al. Global population datasets overestimate flood exposure in Sweden. Sci Rep 14, 20410 (2024). https://doi.org/10.1038/s41598-024-71330-5

Citation: Wang S, Wang L. A Novel Framework for Mapping Updated Fine-resolution Populations with Remote Sensing and Mobile Phone Data. J. Remote Sens. 2024;4:Article 0227. https://doi.org/10.34133/remotesensing.0227

Citation: McKeen, T., Bondarenko, M., Kerr, D. et al. High-resolution gridded population datasets for Latin America and the Caribbean using official statistics. Sci Data 10, 436 (2023). https://doi.org/10.1038/s41597-023-02305-w

Citation: Pirowski, Tomasz, and Bartłomiej Szypuła. Dasymetric Population Mapping Using Building Data. Annals of the American Association of Geographers. 2024; 1–19. https://doi.org/10.1080/24694452.2024.2313500.