System for Management of Information and Lab Evidence (SMILE)
SMILE is an online, searchable directory of humanitarian innovation ecosystem actors and innovations in Uganda. Developed by the Uganda Response Innovation Lab (U-RIL), SMILE compiles data gathered by U-RIL teams and information shared directly by organizations and innovators through online forms.
Looking to collaborate or use SMILE for your organisation? Contact uganda@responseinnovationlab.com for more information!
In 2024, we refined the SMILE tool to allow for usage dashboard, supporting 8 calls for solutions by humanitarian actors where 3 actors were selected, 120 additional actors were mapped, 155 actors were linked to partnerships and 6 partnerships formed.
SMILE drives collaboration across Uganda’s humanitarian ecosystem
Effective humanitarian response demands contextualized innovations tailored to the unique needs of local communities. This requires coordination. SMILE is one of U-RIL’s efforts to map traditional and non-traditional actors and foster partnerships between implementers (demand) and innovation providers (supply). Our goal is to build a collaborative ecosystem where innovative, localized, evidence-based solutions thrive.
Give it a try by clicking here!
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The ecosystem captures different types of actors ranging from UN, Donor, Non- Governmental Organisations-NGOs, Community Based Organisations-CBOs, Private Sector, Social Enterprises, and Academia organisations and their inputs/details that is organisation descriptions, thematic areas, implementation areas among others.
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This tab captures social innovations that provide value to the humanitarian system that are either mapped in Uganda or that can be tested and scaled in Uganda. The innovations are currently active in Uganda's humanitarian space.
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RIL maps out and convenes stakeholders from various sectors in the innovation ecosystem in order to understand the landscape, set the agenda, and locate resources. These are events that Uganda Response Innovation Lab (U-RIL) has organised to bring the ecosystem together around specific challenge mapping, learning dissemination, etc