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Impact assessment and RBM in the FISH
CRP: a quick overview
Andrew Thorne-Lyman, MHS, ScDImpact Assessment Focal point, Senior Nutrition Specialist, WorldFish Center
Adjunct Lecturer, Harvard School of Public Health
Presentation overview
• Describe the CRP targets
and research activities
• Components of the
RBM/MEL/IA system
• Approach to IA
• Challenges, constraints
and needs
Outcomes by 2022:
Productivity and Livelihoods
4.9m households adopt improved
breeds, aquafeeds, fish health,
aquaculture and fisheries
management practices
3.5mpeople assisted to exit poverty
through gender-inclusive
livelihood improvements
Outcomes by 2022:
Food and Nutrition Security
4.7mmore women of reproductive age
consume an adequate
number of food groups
2.4mfewer people suffering from
deficiencies in essential
micronutrients, with at least
50%women
Outcomes by 2022:
Environment and Ecosystem Services
3.3m haof ecosystems restored through
more productive and equitable
management
Greenhouse gas emissions reduced by
20%,
and water and nutrient use efficiency
increased by
10%,
in 4.8m metric tons of annual farmed fish
production
Flagship 1: Aquaculture
Challenges
• Rapid growth
• Low production efficiency
• Diseases
• Pollution
• Dependence on wild
stocks
• Dependence on fish-
based feed
• Gender inequities
Research needs
• Breed improvements
• GIFT Tilapia
• Rohu
• Fish health
• Sustainable feeds
• Environmental
management
• Gender equitable
distribution of
economic and
nutritional benefits
Flagship 2: Small-scale fisheries
Challenges
• Severe pressure from
overfishing, particularly in
resource-poor regions
• Highly complex ecological,
social and institutional
environments
• Productivity and
sustainability often
undermined by poor
governance
• Gender and social
inequities
Research needs
• Resilience based
analyses and
interventions to
support improved
governance in coastal
and inland systems
• Analysis of trends in
context of global food
systems
• Policy research to
enhance governance,
improve safety nets
and build resilience
Flagship 3: Nutrition
Challenges
• Lack of diversity in the
cereal-based diets of the
poor, particularly of
women and children
• Post harvest losses
• Fish often not integrated in
nutrition strategies
• Low fish consumption by
people most in need
Research needs
• Sustainably increase
the production of small
indigenous fish to
grow this source of
nutrition for poor
consumers
• Analyze value chains
to reduce waste and
loss in markets
supplying poor
consumers
• Identify ways to
increase consumption
of fish by poor,
reproductive-age
women and young
children
Geographic Scope
6 focal countries integrating research and development outcomes
across all 3 flagships
Aquaculture research hub
and training center
2 focal countries for
specific flagships
Hub for learning networks
on small-scale fisheries
governance
Impact assessment budget and plans
• Current status in WorldFish
• 1 focal point in HQ (part time)
• Expertise Bangladesh and Pacific (dedicated to bilateral projects)
• FISH CRP Budget Elements (IA $7M over 6 years, 3.9% of CRP
Budget)
• Human resources
• 1 M&E Lead
• Full time international scientist M&E design and
implementation
• Full time Program Coordinator- output planning and
monitoring
• Database developer
• Dedicated staff time in focal countries
Budget elements (continued)
• Database for real-time data entry
• Tablet-based system for sample surveys
• Evaluations and impact assessments
• Annual evaluations and reviews
• Flagship specific
• Impact assessments (internal resources)
• Estimating economic social and environmental benefits of
FISH research outputs
• Contribution and value added
• Contingent, contextual factors supporting claims for CRP
effectiveness
Measuring dissemination of GIFT
• Tilapia hatcheries can produce >15
million fingerlings per year
• Rapid scale-out
• Flush through system- farmers do no
breeding.
• Records from breeding nuclei allow
tracking of distribution to
multiplication hatcheries
• Tracking of what hatcheries have and
sales by hatcheries can be used to
estimate what farmers are growing
• Do hatcheries know what they have?
Validation study in Philippines and
Bangladesh
• Study adoption and on the ground
productivity after 2-3 years
Progress to date: Hatchery sampling
PHILIPPINES BANGLADESH
2015 Production Hatcheries
Fingerling
s
sampled (millions)Uncertain 45 258.4
Non-GIFT Derived 23 85.6GIFT Derived 41 210.1
Total 109 554.1
2015 Production Hatcheries Fry
sampled (millions)Uncertain 44 308.3
Non-GIFT Derived 8 84.5GIFT Derived 61 354.7
Total 113 747.5
Objective 4: Genetic origins of hatchery-level tilapia stocks
Examples of indicators/measurement
approaches: sub-IDO level
Sub IDO Indicator(s) How collected Frequency
Closed yield gaps
through improved
agronomic and
animal husbandry
practices
Average production
(kg/hectare/year)
Logbooks, sample
surveys, partner
reports
Annually
Improved diets Fish consumption,
WDDS, WFP FCS,
disagg. by gender
Surveys, secondary
data. Farmers and
non-farmers
Every 3 years
Food safety Reduced biolog./chem
hazards in food system
Sample surveys Every 3 years
Increased income/
employment
#men and women
assisted to exit poverty
Household surveys,
well being indicators,
HEIS, national data
Every 3 years
Achieving and measuring influence
• Importance of establishing RBM
culture for achieving influence
• Managing for project outputs
vs. project outcomes vs.
managing for larger change
• Online tracking system for real-
time data collection
• Technology mentions?
• Policy changes
• Annual ‘results harvesting’
workshops/after action reviews
• Partner surveys?
Challenges: measuring impact on dietary
diversity and micronutrient status
Challenges
• No baseline
• Capturing effects on
diets of farmers and
non farmers (and
pathways)
• Responsiveness of
indicators
• Appropriateness of
secondary data?
Approaches
• Assumptions for now
• Build in studies to
establish relationships
between our primary
outcome indicators and
SLO indicators
Challenges and constraints
• Expertise and capacity
• Quantitative and qualitative
• Resources
• Does bilateral funding align
with bigger picture IA?
• Estimating impacts
• Lack of baseline data
• Suitability of secondary
data
• Precision to detect
• Attribution
• Capturing scaling and
partner adoption