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Parallel Session : Measuring and Monitoring the SDGs

"Geospatial Innovations for Detecting and Mapping Infrastructure, Censuses and Modeled Population"

This session presents two innovative geospatial technologies that accelerate capacity-building support for the most vulnerable un-mapped populations, in both developed and developing countries, by providing data completeness and precision for implementing the SDGs and measuring and monitoring the SDG indicators within the targets. The first, the Geo-Referenced Infrastructure and Demographic Data for Development (GRID) program - a partnership between UNFPA, WorldPop/Flowminder, CIESIN, the Bill and Melinda Gates Foundation and DFID. GRID supports low - and middle-income countries in collecting, analyzing, integrating, disseminating and utilizing high-resolution geo-referenced data on population, boundaries, settlements and infrastructure along with other key spatial datasets for evidence-based development and humanitarian decision making. The second, FinitEdge technologies-Integrated intelligence and AI adaptive image detection systems provide authoritative rapid-scale feature extraction and temporal change detection for precise and complete Address Points and Road Centerlines in creating and maintaining GIS base map data.

  1. Presenters/Panellists:
    Dr. Sainan Zhang, United Nations Population Fund
  2. Mr. Ogunsina Joseph Ayogbade, National Population Commission
  3. Mr. Inuwa Barau Ya'u, National Primary Health Care Development Agency (NPHCDA)
  4. Dr. Greg Yetman, CIESIN, Columbia University
  5. Dr. Donna Clarke, University of Southampton
  6. Mr. J Michael Brown, Eikonek
  7. Moderator:
    Ms. Suren Navchaa, Deputy Representative, United Nations Population Fund