Grantees 2021 Edition
Electricity Free Based Coldbox for Vaccine and Food Storage in Rural Area (Mozambique)
Coldbox is a project developing a low-cost, electricity-free, cold box for transporting and storing vaccines over several weeks. Currently, more than 25% of vaccines are wasted. In low-income settings, it is mostly due to a lack of a continuous cold chain rooted in missing or unreliable electricity supply infrastructure.
The research will focus on fine-tuning absorption materials by optimizing their properties for harsh climate and to incorporate them in a robust and highly insulated vibration resistant cold box. In the second year, these prototypes will be field tested in rural Mozambique.
Global South Partner: SolidarMed
A Participatory GIS Toolkit for Transportation Needs Assessment in Rural Areas (Malawi and Colombia)
Today, over 1 billion people living in rural communities do not have access to reliable transport. To these populations, mobility is indeed one of the main factors of vulnerability, as it impacts access to basic services such as education, healthcare or safely managed water sources.
The project proposes an open-source, participatory mapping toolkit aimed at rural communities of the global South. This toolkit aims to facilitate both collecting and sharing geodata required to evaluate the accessibility, utilization and sustainability of mobility options. Ultimately, it is intended to support decision-making regarding the development of transport solutions in marginalized areas.
Comprehensive Cervical Cancer Prevention: a low-cost solution for cervical cancer screening (Cameroon)
Automated VIA Classifier (AVC) offers a low-cost solution for cervical cancer screening with the potential of scaling-up, appropriate and affordable for low income settings.
Prof. Jean-Philippe Thiran, EPFL Signal Processing Laboratory 5
Swiss partner : Prof. Patrick Petignat, Hôpitaux universitaires de Genève, Département de Gynécologie et d’Obstétrique
Computational Design for Resilient Shelters (South-Sudan)
Driven by a need to respond to severe and increasing seasonal flooding in South Sudan, Computational Design for Resilient Shelters aims to improve shelter assistance through the creation of a more resilient shelter design. In 2020, floods affected 1,042,000 people in South Sudan, destroying precarious homes and further limiting access to essential resources. High costs of imported materials, limited shelter assistance funding, and frequent displacements further exacerbate the situation and jeopardize the adoption of generic shelter solutions seen worldwide.
The project will unlock new shelter solutions optimised for material use, cost, and versatility. Combined with first-hand knowledge of local socio-technical context, these technologies will integrate with vernacular construction through an iterative design-and test process, opening up new development pathways towards greater climate-resilience in flood-affected communities.
Corentin Fivet, EPFL Structural Exploration Lab
Global South Partners: Medair