Category 'iStandOut'

Awarded project

Access Agriculture – Overcoming the language barrier

Access Agriculture (Jonas Wanvoeke, Benin – Paul Van Mele, Belgium)

To promote innovations in sustainable agriculture and rural enterprises through capacity development and South-South exchange of quality farmer-to-farmer training videos in local languages.

Website: https://www.accessagriculture.org/

           

The winner receives a credit line of 10.000 euro to be used for (research)activities towards further development of a career (participation in conferences, training courses, etc.)

 

Nominated projects

CERHIS – Connected Electronic Records – Hospital Information System

AEDES (Loïc Vaes, Belgium), MaisOrdi (Benjamin Ndoole, DRC)

CERHIS is an information system adapted to health structures located in low resources environments. It works on Android tactile tablets and replaces the former paper-based files and records. Its objective is to improve the quality of the information collected in health structures to ensure better patient care, better management of the health structure and the efficient production of a reliable sanitary information.

Website: http://cerhis.org/

Geomonitoring of Savings Groups in Maasai Rural Areas

Trias East-Africa (Saitoti Kitasho, Tanzania – Bart Casier, Natalie Vanden Eynde, Belgium)

The project aims to optimise the functioning of the Village Community Banks (VICOBAs) established by Trias and its member based organisations (MBOs) by the use of digital collection of dynamic real time data and the intensive use of (geographical) monitoring tools.

Website: https://www.trias.ngo/en/

Using Machine Learning to Analyse Radio Content in Uganda

United Nations Pulse Lab Kampala (Paula Hildago-Sanchis, Uganda), Eddie Sefuluya Mukooyo (Uganda AIDS Commission Board)

This project consists in analysing public radio content to close the gap between the population living in rural areas of Uganda and humanitarian and development practitioners. Make public radio content accessible for the SDGs and humanitarian action.

Website: https://www.unglobalpulse.org/projects/pilot-studies-using-machine-learning-analyse-radio-content-uganda-2017