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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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Percentage of undernourished people. The higher the incidence of undernourished people the more beneficial decentralised renewable energy solutions may be, in terms of improving both cooking facilitie...
Prevalence of underweight (weight-for-age <-2 standard deviation from the median of the World Health Organization (WHO) Child Growth Standards) among children under 5 years of age. Survey estimates...
Number of deaths attributable to household air pollution resulting from solid fuels for cooking. Evidence from epidemiological studies have shown that exposure to smoke from incomplete combustion of s...
Percentage of children 24-35 months who had received all age appropriate vaccinations. The lower the number of vaccinated children, the more beneficial decentralised renewable energy solutions may be ...
Percentage of healthcare facilities with electricity access in selected countries. Information on electricity access for healthcare facilities has been collected in the electricity access health facil...
Percentage of children in a school attendance age (approximately 3-17 years old depending on the country) that have internet connection at home. Also in this case the indicator relates to the potentia...
Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life. Literacy statistics for most countr...
Percentage of children aged 6-8 that currently attends, or in the current school year attended, school. This indicator measures the potential educational impact of bringing electricity to schools; the...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...
The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpola...