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Field Learning Through ICT: The CRS/ NetHope/ Intel Collaboration and Great Lakes Cassava Initiative Pilot CRS Program Quality & Support Department 21 October 2008
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Presentation Overview What is GLCI? Project overview & information challenges Opportunity: NetHope Partnership –Education –Data capture & feedback/ M&E Short Term Benefits Long Term Benefits Funding
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Great Lakes Cassava Initiative
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Great Lakes Cassava Initiative: Goals To enable > 1,000,000 farmer families to improve their livelihood security by controlling cassava diseases through increased access to improved cuttings and through improved production and marketing To strengthen the cassava seed system so that future shocks can be averted
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GLCI Project Overview Phase 1: Four years building on C3P Six countries (Burundi, DRC, Kenya, Rwanda, Tanzania, Uganda) 53 local partners Budget $22,376,283 (CRS $500,000) > 1 million farm families (± 5,000 farmer groups)
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GLCI Challenges in Training, Data and M&E Staff time required to collect field data and transfer it to computerized database; errors Difficulty collating data from various locations Gaps in project manager and farmer group knowledge – language & curriculum barriers Difficulty with feedback for trainings IT: connectivity, staff savvy
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NetHope Partnership NetHope is a non-profit consortium of NGOs, now 25 strong Facilitates partnerships between technology providers and NetHope members Focused on improving the effectiveness and efficiency of humanitarian work through the use of technology
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Pilot Opportunity Develop common, scalable education and data collection solutions that –Help build local capacity –Operate in extreme environments –Support varying levels of internet access Leverage cost-effective components that have been used successfully in for-profit and non-profit environments –Low cost rugged laptops (Intel) –Learning management system (Agilix) –Electronic forms capture (FormRouter) Develop local business partnerships that support the use of this technology over time
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Pilot Description Proposed Solution –Education: Build capacity of field agents to train several thousand farmer groups –Data Recording: Monitor disease epidemiology –Reporting: Enhanced M&E tools Target users: –CRS and Partner Staff –Researchers from Ministry of Agriculture –Field agents with training and disease monitoring responsibilities Proposed scope: 250 laptops over 6 countries
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Pilot description – education & training Curriculum and course management: – Course standardization and distribution Training module/ curriculum development support –Agilix to support curriculum developers to best utilize platform –Maintains training records –Feedback mechanism: did you really learn this? –Multi-media, interactive Multiple languages, cultures – different field versions saved & shared
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Design Team Disease cntl Project staff Marketing/ MFFG Org support Project staff Partner Teams Clustered Beneficiary Groups 5000 + groups Design team 2-5 pax Theme leaders Master trainers 5-6 themes Project Field staff 4-5 pax / theme Local Partner Teams Up to 70 Field Agents 200 + pax Example Training Architecture Partner Teams Partner Teams Partner Teams Partner Teams Partner Teams Partner Teams Partner Teams
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Pilot description – data recording Forms development and management –Text and video/image capability Forms data entry –Simplified/ customized data entry Forms storage and routing Operate in range of environments –Fully connected to non-connected –Office to field –Powered to unpowered for extended periods of time –Mobile Feedback to field
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Horizontal feedback loop
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Short Term Benefits Reduce costs associated with data collection and analysis, improve quality and timeliness of data –Annual Disease Survey and Early Warning System –Participatory Variety Selection –Monitoring and Evaluation Standardize training, reduce cost of adaptation to local environments, provide tools for measuring its effectiveness –Farmer Group Training –Seed Multiplication Training
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Long Term Benefits Extend use of technology to extend CRS and partnership’s outreach capabilities Provide a comprehensive solution that can be easily adapted by CRS staff to address the full range of: –CRS’ field, partner and household field data collection and M&E needs –CRS’ field staff, partner, and beneficiary training needs
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Funding Initial analysis indicates that this solution will largely pay for itself through cost savings: –Eliminate data recording tasks –Eliminate rework due to data recording issues –Reduce costs of adapting and publishing training material for multiple audiences –Reduce travel requirements for training –Reduce costs of evaluating training results Pursue an innovation grant to evaluate benefits and learning potential of the solution ($40K)
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