This page presents ongoing and completed research projects examining skills development, digital transformation, and employment outcomes within the context of the Future of Work.
Description
This project assesses the effectiveness of skills training and job readiness programmes in preparing young people for the evolving labour market. It examines alignment between training content, labour market demand, and employment outcomes in the context of the Future of Work.
Objectives
- Assess the relevance of current skills training programmes to labour market needs
- Examine employment outcomes of programme beneficiaries
- Identify skill gaps affecting youth employability
- Provide policy recommendations to improve job readiness initiatives
Methodology
Mixed-methods approach combining programme evaluation data, surveys of trainees, employer interviews, and labour market analysis to assess outcomes and alignment with demand.
Description
This project investigates how the adoption of artificial intelligence (AI) in agriculture affects productivity, employment, and skills demand in Senegal, with attention to climate variability and technological transformation in the agricultural sector.
Objectives
- Analyse the impact of AI adoption on agricultural productivity
- Assess employment effects across agricultural value chains
- Examine skills requirements linked to AI-driven agriculture
- Inform policies on technology adoption and workforce transition
Methodology
Empirical analysis using farm-level data, stakeholder interviews, and econometric modelling to evaluate productivity and employment effects of AI adoption.
Description
This project quantifies the macroeconomic and labour market effects of artificial intelligence using machine learning-enhanced modelling approaches, focusing on productivity gains and employment dynamics.
Objectives
- Quantify productivity effects of AI adoption
- Analyse employment shifts linked to technological change
- Evaluate sectoral impacts of AI diffusion
- Support evidence-based policy formulation
Methodology
Use of computable general equilibrium (CGE) models enhanced with machine learning techniques to simulate productivity and labour market effects under different AI adoption scenarios.
Description
This project explores the use of intelligent digital systems to promote sustainable poultry farming among women and youth in Nigeria, with the aim of improving productivity, income generation, and inclusive employment in the agricultural sector.
Objectives
- Promote adoption of intelligent poultry farming systems among women and youth
- Improve productivity and sustainability of small-scale poultry enterprises
- Enhance income and employment opportunities for young people and women
- Support inclusive agribusiness development through digital innovation
Methodology
Combination of field surveys, pilot implementation of intelligent farming tools, beneficiary interviews, and productivity assessments to evaluate economic and employment outcomes.
Description
This project examines how digital technology adoption across agricultural value chains contributes to inclusive green employment for women, the youth, and other marginalized groups in selected West and Central African countries.
Objectives
- Assess digital technology adoption across agricultural value chains
- Examine impacts on inclusive and green employment creation
- Identify barriers faced by women, youth, and marginalized groups
- Provide policy recommendations to support inclusive digital transformation
Methodology
Cross-country analysis using surveys, value chain mapping, stakeholder interviews, and comparative policy review to assess employment and inclusion outcomes.
Description
This project investigates how integrating digital technologies with social protection programmes, specifically LEAP, can improve livelihoods and living conditions of beneficiary farmers in Ghana’s Northern Regions.
Objectives
- Examine the role of digital tools in enhancing LEAP programme outcomes
- Assess impacts on income, productivity, and living conditions of beneficiary farmers
- Identify complementarities between social protection and digital transformation
- Inform policy design for integrated social and digital interventions
Methodology
Case study approach combining household surveys, focus group discussions, administrative data analysis, and comparative assessment of beneficiaries and non-beneficiaries.