Leveraging Market Approaches to Sanitation: SWIRL Initiative in Bangladesh
Join us for a peer-to-peer learning opportunity on Market Based Sanitation.
During this event, participants will learn from the Scaling-up WASH Innovations in Remote Locations (SWIRL) team –a USAID-BHA funded SHOUHARDO III Resilience Food Security Activity (RFSA)– which operates in 37 unions in Bangladesh. The project, led by CARE Bangladesh and iDE, leverages market systems to improve sanitation access to the poor and disadvantaged community in the Haors (wetland and back swamp in North Eastern Bangladesh) and the Chars (riverine island regions) of Bangladesh.
The SWIRL team will share their experience on how the human centered design approach has been used to develop and implement sanitation solutions and how existing business models have been adapted to improve last mile outreach in these hard to reach areas. Participants will also learn about the adaptive management techniques utilized during COVID-19 to increase sanitation sales and get a glimpse of iDE’s new Market Systems Resilience Index (MSRI) tool that seeks to measures the resilience of emerging markets to shocks and stressors, setting a new industry standard for development work.
This interactive discussion will be a facilitated dialogue between SHOUHARDO III Bangladesh and other RFSAs that are carrying out market based sanitation activities. It will foster connections and continued learning between RFSAs after the event. While this event is open to all, we encourage participation from RFSA WASH, Markets, and Private Sector staff, as well as others who work closely with RFSAs, including USAID and WASH and Markets technical advisors. Other partners working on sanitation in remote communities may also be interested in attending.
Registration is limited so please sign-up today!
This event will be in English with interpretation in French.
Click here to learn more about The Market Systems Resilience Index: A Multi-Dimensional Tool for Development Practitioners to Assess Resilience at Multiple Levels.