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Transversal Component

Title: Transversal Component.

Main Objective: Operate through the JRC’s Africa Knowledge Platform and serve as an integration engine, connecting thematic sectors and aligning the contributions of the RCoEs around a unified and coherent vision.

Specific Objectives:

  1. Ensure effective coordination of the ArcX programme through a robust and well-managed transversal mechanism;
  2. Enhance the science–policy interface by providing targeted support services that facilitate evidence-based decision-making;
  3. Strengthen knowledge circulation and collective learning across ArcX through an efficient and interoperable knowledge management mechanism;
  4. Promote inter-sectoral networking and partnership opportunities by delivering tailored support services that connect actors across thematic and regional domains.

Starting Year: 2023
Implementation Duration: 6 years

Areas of Impact:

  1. Strategic coherence;
  2. Programme efficiency;
  3. Reduced duplication;
  4. Evidence-based decisions;
  5. Policy harmonisation;
  6. Uptake of scientific insights;
  7. Knowledge circulation;
  8. Collective learning;
  9. Scaling of innovations;
  10. Innovation ecosystems;
  11. Cross-sector alliances;
  12. Private-sector + Africa–Europe cooperation

Target Groups: Regional Centers of Excellence.

ArcX Partners: See ArcX Partners card and the ArcX Partnership Map.

Component Coordinator: AESA.

Scientific and Technical Support from EC - DG JRC: DG-JRC Directorate D (Sustainable Resources) Unit D6 (Nature Conservation and Observations).


Available Resources
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This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030). The spatial raster dataset depicts the distribution of built-up surfaces, expre...