Water In Sight

Only 30% of river and rainfall data is collected in most developing countries because equipment and incentives for collection fall apart. Water-observers are rarely paid (e.g., ~$10/month in Malawi) and of data collected, most is recorded on paper to be transported to government for manual computer entry. Inadequate accuracy and archives mean services suffer (environmental protection, flood warnings, etc.). Automated equipment is great in theory but expensive and ill-adapted to local contexts.

Our technology consists of a GSM-processing device ('switch-box') that translates data from Observers’ own phones, irrespective of the type of phone (simple or smart). The Observers submit the data using a free 'dropped' call that charges no credit. All observers dial the same number and only adjust the last three digits that is the data observed (e.g., a river depth of 2.35 m is entered '235' at the end). The Observer's phone number is geo-located which tags the data entered with the place within the river system or location of rainfall. The switch-box stores values to an online, instantly visualized database that can be used in any modeling and GIS software. An algorithm assesses the accuracy of data entered. If accurate, Observers are immediately paid using mobile payment which signals appreciation and incentivizes continued data submission. If data is deemed inaccurate, a text message is sent to the Observer requesting reentry. One application of the innovation is the integration of data into global flood forecasting (and improvement thereof) and ability to relay flood warnings back to the community at risk as well as government officials and NGOs.

The prototype was tested with the Government of Malawi on Lilongwe River in 2018. Next, the focus lies on prototype development, more testing, and revenue model. The long-term mission is to offer a solution that leverages capabilities of open technologies and enable digital transformation in the collection and transmission of water and weather data in developing countries. Ultimately, improved data would give decision makers insight into climate change and offer better services and protection to millions living in poverty and the environment.