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Job vacancy Community Nutrition Activity Information System Development
Community Nutrition Activity Information System Development
FHI 360 will accept and review proposals from consultancy firms that meet the following criteria:
Family Health International (FHI 360) is a non-profit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. Our staff includes experts in Health, Education, Nutrition, Environment, Economic Development, Civil Society, Gender, Youth, Research and Technology; creating a unique mix of capabilities to address today's interrelated development challenges. FHI 360 serves more than 60 countries, all 50 U.S. states and all U.S. territories.
FHI-360 is leading a consortium of International and Private Partners in implementing USAID Feed the Future Ethiopia Community Nutrition Activity that aims to improve the nutritional status of women and children through increased and sustained improvements in eleven high-impact behaviors that have proven highly effective in reducing malnutrition. These objectives will be realized through enhanced individual and community agency and demand for services, improved access to quality nutrition services at the community level, and improved capacity and coordination among nutrition stakeholders across sectors,
FHI 360 is pleased to announce the release of its Request for Proposal Community Nutrition RFP# 24-01. With this RFP, FHI 360 is soliciting applications from firms to develop the Community Nutrition Activity information system to implement an integrated and standardized information system that will strongly support the activity’s Learning, Monitoring and Evaluation (LME) efforts. The proposed information system is expected to facilitate data collection and processing on performance indicators and key activities used for routine monitoring, performance review, learning and evaluation, until end of the activity. Moreover, to ensure fitness of the data for the listed M&E purposes, the system should support collection of accurate, consistent, complete, timely, and precise data using standardized tools and procedures.
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