How to use data driven solutions to identify and prevent high school dropout?
School dropout is not only an educational problem, but also a social, economic, health and cultural one. Breaking the trajectory of young people in school limits their training as well as their overall potential. In Brazil, it is a real challenge to keep students in school, mainly at the high school level.
With 1.8 million students, spread over 3,617 state schools, Minas Gerais is the second biggest public education network in Brazil. Out of the 82,000 students that dropped out of the state school system in Minas Gerais in 2018, 75% of them in high school. The drivers of school drop out are not exclusively school-based (academic failure, infrastructure problems in schools, curriculum content), they are diverse and equally complex, such as need for work, social inequality, discrimination, lack of interest, among others, and they require individualized response from schools and teachers.
To overcome this, we are welcoming solutions that:
Address the identification of dropout causes in a individual level
Increase the predictability of dropout
Propose innovative approaches and actions to reduce dropout rates
in partnership with
IDB Group, Lemann Foundation, Imaginable Futures
Winner can have a fast-track to apply for IDB Lab funding to develop and pilot the solution in Minas Gerais (conditional on proposal being approved by IDB Lab and by the Secretary of Education of Minas Gerais)
Drop-outs Track Winner: Trip to London on January 2021 for the GESAwards Finals
The Winner receives an exclusive invitation to a 2-day Bootcamp in London January 2021
Call for applications
Selection of Semifinalists
Semifinalists presentations in Minas Gerais (Brazil)