work package 3: scaling up
TRANSCRIPT
WORK PACKAGE 3: Requirements for uptake and out-scaling of shallow
groundwater irrigation
Enhancing uptake and socio-economic benefits of shallow groundwater irrigation in the
White Volta Basin
Innovations must be adapted to specific local conditions (incl. different perceptions and interests) to lead to long-term sustainable
developmental impacts:
How can this process be strengthened?
RESEARCH INTO USE
(i) Determine extrapolation domains that are homogeneous with respect to several variables ;
(ii) Together with farmers and other key actors, determine critical success factors, conditions and drivers for adoption;
(iii) Assess and articulate institutional arrangements, support systems and policy requirements at different scales that enable adoption.
Sustainable out-scaling and up-
scaling of shallow groundwater
irrigation
OBJECTIVES
(1) Platform/ (2) Extrapolation
Learning alliance domains
(3) Strategies/Approaches
for up and out-scaling
Work packages 1 and 2
Biophysical, economic, GIS data
Stakeholder & institutional mapping
ACTIVITIES/METHODS
What is a Learning Alliance (LA)?
Partnership of researchers, implementing agencies, private sector, policy makers and farmers who work and learn together to solve practical development problems.
How do they bring the innovation process to scale?
- Complementary insights and capabilities
- Stakeholders at all levels – linked platforms
- Facilitation to overcome horizontal and vertical barriers to communication and interaction
(1) LEARNING ALLIANCE
Establishing successful Learning Alliances:
- Vertical and horizontal representation
- Shared vision of objectives, roles and capacities of each partner
- All must benefit and share responsibilities and costs
- Effective communication between platforms at different levels
- Action research / Learning for change
- Document the process as well as the results
- Dissemination and sharing: double-loop process
(1) LEARNING ALLIANCE
Challenges:
- Who should facilitate?
- Weak government decentralization
- Adapt project management, delivery and thinking
- Costs of horizontal and vertical integration
- Separation of science and process
- Realistic time planning and resistance to change
- Monitoring
(1) LEARNING ALLIANCE
Method: Bayesian Modelling
Data: bio-physical, socio-economic, GIS data layers, and survey data from LA.
Expected output: Report on probabilities of adoption success for shallow groundwater irrigation within and beyond the initial CP65 study focal areas
(2) EXTRAPOLATION DOMAINS
Collation, analysis and synthesis of outputs and recommendations from the 3 different packages
(3) STRATEGIES/APPROACHES FOR UP- AND OUT-SCALING OF SGI