Demand-Driven Training for youth employment programs build job-relevant skills valued by employers and useful for self-employment by offering both pre-employment skills development and some form of on-the- job training.
In this interactive session led by FHI 360 and facilitated by USAID, participants will learn about the key uses and components of a labor market assessment, and have the chance to test out a number of powerful and innovative tools that can help them answer important questions about a labor market system. How do stakeholders act and interact?
In this session, we will hear directly from a leader in South Sudan's education sector on the impacts of conflict on today's generation of youth, as well as tools for how to instill resilience to economic shocks.
This session provides an immersive experience of the interactive project-based learning approach used by DSG to develop the problem solving, critical thinking, communication and collaboration skills of youth within and for a global context. Participants will work collaboratively to solve a set engineering challenge within given contextual constraints different from their own.
There are thousands of workforce development and training programs, run by the public, social, and private sectors. Some are excellent; others, not so much. The problem is that we don’t always know which are which. How do we make sure we are getting the results we want to achieve—young people in jobs—and doing so as cost-effectively as possible?
TechnoServe, African Management Initiative, The MasterCard Foundation
With 11 million young people entering sub-Saharan Africa’s job market annually, youth account for 60% of the region’s unemployment. Many lack basic skills and struggle to and or create work for themselves. And the needs and challenges of rural and urban youth can vary greatly. To address this employment gap, job training and skills development programs not only need to address rural vs.
What attitudes and behaviors can improve the likelihood of positive livelihood outcomes? How can one screen for these traits in dynamic, low-capacity contexts? What processes and tools would be beneficial, and can these same systems work efficiently at scale?