CartONG has been supporting the UNHCR WASH team for 3 years on the deployment of WASH Knowledge, Attitudes and Practices mobile surveys in many countries. Over the last year, everytime we trained UNHCR and implementing partners on how to best deploy WASH KAP surveys in the field, we have been promoting the mapping of the refugee camps. We believe that doing so helps improve the overall access to WASH services for refugees in the long run. 

CartONG is providing constant support to its partners operating in the field to make better, more informed decision-making thanks to geospatial information. In particular, in the race against time that characterize infectious diseases crises, the use of spatial visualization - such as the EpiMap -  to comprehend the dynamics of an outbreak has proven to be a powerful tool.

CartONG and its partner « Les Petits Débrouillards » will implement in the Auvergne-Rhône-Alpes region a new project dedicated to raising awareness about the Sustainable Development Goals (SDGs) from August 2018 to May 2019! This initiative is funded by the Frame, Voice, Report program of the European Commission.

CartONG established from October to April a picture of the census tools of available services for the migrant population in France. These plateforms, directory, guides and other lists of information on the available services have multiplied during the last years. A wealth of data for aid actors and migrants, which is not always synonymous of better access to information. 

Thanks to the support of the Fondation de France, CartONG is launching a new project called “Maps from here & abroad”, aiming to foster the social inclusion of the migrant population in France by using mapping activities under various formats!

Many stakeholders hold valuable data, ranging from Small up to Big Data sets, for reporting on SDGs. The project “Building a Data Collaborative to support SDGs on Health & WASH in Malawi and DRC” (supported by the Global Partnership on Sustainable Development Data wants to harness this potential by building a Data Collaborative.