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A Partnership
Ending Hunger: What would it cost?
[2016]
• We are not on
track for SDG2
• But we can reach
it if we
• Have more
resources
• Use better
interventions
• Realign priorities
To build
consensus on
the
interventions
needed to end
hunger and
transform the
lives of the
world's poorest
farmers—while
protecting the
environment.
Our mission
We combine
state-of-the-art
modelling
techniques with
expert evidence
to support a
donor roadmap
to achieve SDG
2 (focusing on
targets 2.1, 2.3
and 2.4)
Our strategy
We are here
How do we
develop rigorous
evidence?
The HLPF reported a
dearth of evidence for
SDG 2.3 and 2.4 in a
review of SDG 2 in
2017.
Ceres2030 conducted a
scoping study to
110
105
64
37
SDG 2.3 SDG 2.4 Both 2.3
and 2.4
Neither 2.3
and 2.4
Systematic
reviews & meta
analyses by
indicator
Noofstudies
Our framing
question
What does the research baseline
look like?
What do we mean by
evidence?
• Meeting the SDGs
requires “better”
evidence
• Intervention
effectiveness information
is scattered
• Research is abundant
• Many scientists are
trained to write research,
not evidence
• Clearly defined
standards of evidence
Our work
Nature will publish 7-10
evidence reviews of “best
bets” for SDG 2.3 and
2.4
A global advisory board
will guide topic and
author selection
Baseline instruments from
the cost models will inform
intervention topics
We will generate media
and policy relevant
materials from the
Tools like risk of bias
assessment and protocols
help scientists to
contribute evidence
Our integrated dashboard
combines research across
siloes to generate better
analytics
Proactive Engagement strategy
(2018)
Science
Policy
Donors
May: Policy and Science (Ithaca)
July: ICAE (Vancouver)
August: AAEA (Washington)
August: SDG2 (Wageningen)
October: Science Policy Forum (South
Africa)
November: IFPRI/FAO (Thailand)September: UNGA (New York)
September: G20/T20 (Buenos Aires)
October: CFS (Rome)
December: AERC Biannual Conference
(Kenya)
April: SDG2 Roadmap Initiative (Washington
D.C)
September: G7 food security working group
(Ottawa)
October: SDG2 Roadmap Initiative (Rome)
Divider (just a line)
Belay Begashaw, Sustainable Development Goals
Center for Africa (Rwanda)
Catherine Bertini, Rockefeller Foundation Fellow,
Chicago Council (USA)
Joachim von Braun, Bonn University (Germany)
Ronnie Coffman, Cornell University (USA)
Boaz Keizire, Alliance for a Green Revolution in
Africa (AGRA) (Kenya)
Segenut Kelemu, International Centre of Insect
Physiology and Ecology (ICIPE) (Kenya)
Uma Lele, International Policy Expert (USA/India)
Leslie Lipper, Independent Science and Policy
Council (FAO) (Italy)
Lindiwe Majele Sibanda, Farmer and Food
Systems Champion
Njuguna Ndung'u, African Economic Research
Council (Kenya)
Will Martin, International Food Policy and
Research Institute (IFPRI) (USA)
Prabhu Pingali, Cornell University (USA)
Martin Piñeiro, Director CEO Group, Chair,
Committee on Agriculture, Argentine Council of
International Relations
Ruerd Ruben, Wageningen University
Maximo Torero, World Bank (USA)
Paul Winters, International Fund Agricultural
Development (IFAD) (Italy)
Scott Vaughan, International Institute for
Sustainable Development (IISD) (Canada)
Li Xiaoyun, China Agricultural University (China)
Journal Advisory Board
What is the impact on crop yields and water use when
farmers use ICTs to manage irrigation?
What is the mix of interventions that contribute to poverty
reduction while improving market access and off-farm
employment opportunities?
What is the impact of early warning climate and famine
systems on crop loss and economic resilience?
Potential questions
Modeling
Framework
Existing SDG2 Costing
Exercise
IFPRI Brief: Quantifying the cost and benefits of
ending hunger and undernutrition: Examining the
differences among alternative approaches
265 billion
Achieving Zero Hunger
(FAO, IFAD, WFP)
52 billion
IMPACT (IFPRI)
11 billion
MIRAGRODEP
(IFPRI-IISD)7 billion
Investment Framework
for Nutrition
(World Bank)
Existing SDG2 Costing
Exercise
IFPRI Brief: Quantifying the cost and benefits of
ending hunger and undernutrition: Examining the
differences among alternative approaches
265 billion
Achieving Zero Hunger
(FAO, IFAD, WFP)
52 billion
IMPACT (IFPRI)
11 billion
MIRAGRODEP
(IFPRI-IISD)7 billion
Investment Framework
for Nutrition
(World Bank)
What are the additional
transfers and
investments needed to
end poverty and
hunger in all countries
by 2030?
How much would
hunger
decrease given
investments
to achieve target yield
increases by 2030?
What is the minimum
cost to
end hunger for
vulnerable
households in all
countries
by 2030?
What is the minimum
cost to
meet the World Health
Assembly (WHA) goals
on
reducing undernutrition
by 2025?
Ceres2030 Model Overview
QUESTIONS
Targets for SDG 2
2.1 Target
2.3 Targets
2.4 Targets
Ceres2030 Model Overview
Achieve
Goals,
Minimize
Cost
QUESTIONS
Targets for SDG 2
2.1 Target
2.3 Targets
2.4 Targets
OUTPUT
Ceres2030 Model Overview
Achieve
Goals,
Minimize
Cost
QUESTIONS
Targets for SDG 2
2.1 Target
2.3 Targets
2.4 Targets
Total Cost
to accomplish SDG 2
targets
Optimal Funding
Allocation
by kind of intervention
Micro
Level Household Variables
food and nutrition security, agricultural productivity, …
Comprehensive Modelling
Micro
Level Household Variables
food and nutrition security, agricultural productivity, …
Meso
Level
Micro
Level
Regional and Sectoral Variables
food prices, wages, water use, …
Comprehensive Modelling
Micro
Level Household Variables
food and nutrition security, agricultural productivity, …
Meso
Level
Micro
Level
Regional and Sectoral Variables
food prices, wages, water use, …
Macro
Level
Meso
Level
Micro
Level
International Macroeconomic Variables
International trade linkages, fiscal balance, …
Comprehensive Modelling
Micro
Level Household Variables
food and nutrition security, agricultural productivity, …
Meso
Level
Micro
Level
Regional and Sectoral Variables
food prices, wages, water use, …
Macro
Level
Meso
Level
Micro
Level
International Macroeconomic Variables
International trade linkages, fiscal balance, …
Macro
Level
Meso
Level
Micro
Level
Integrated, multi-level approach
Model: MIRAGRODEP Computable
General Equilibrium with
household-level data
Comprehensive Modelling
Selecting Indicators for Targets
Select indicators that reflect our SDG 2
subgoals…
Selecting Indicators for Targets
…given limited consensus on definitions
and data.
Select indicators that reflect our SDG 2
subgoals…
?
Where do I belong?
Monitored And Targeted Population
The
Farmer
The
Poor
The
Hungry
I
Well-defined indicator,
directly used in model
Not used, insufficient data
Used, some limitations
Not defined by UN
Alternative indicators used
Used, some limitations
UN-Proposed Indicators
Selecting Indicators for Targets
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Production
per Labor Unit
% of Agricultural
Area that Is
Sustainable
Food Insecurity
Experience
Scale
Average Income by
Sex and Indigenous
Status
UN Tier
1
2
3
3
3
In Model?
Yes
No
Yes
No
Yes
Proposed Indicators in Model
Summary of Indicators
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Household Only Caloric
Hunger
LimitsScale
Proposed Indicators in Model
Summary of Indicators
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Net Income for smallholder
farmers
Household
Household
Only Caloric
Hunger
LimitsScale
Strong Overlap with
SDG 1
Proposed Indicators in Model
Summary of Indicators
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Net Income for smallholder
farmers
Household
Household
Only Caloric
Hunger
LimitsScale
Strong Overlap with
SDG 1
?
SDG
2.4?
SDG
2.4
Adaptation
Included in
2.1 and
2.3
Mitigatio
n:
GHG
Emission
s
Economic
dimension
Model
rationalit
y
Social
Dimension
No One
Left
Behind
(2.1, 2.3)
Water
Needs
Monitoring
Energy
Use
Land
Use
Fertilizer
Use
Proposed Indicators in Model
Summary of Indicators
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Net Income for smallholder
farmers
Household
Household
Only Caloric
Hunger
LimitsScale
Strong Overlap with
SDG 1
Total GHG emissions in agriculture
Fertilizer Use | Energy Use | Land Use
+ Water Requirements
National Have to be
considered with
other indicators
Proposed Indicators in Model
From Indicators to Quantitative Targets
Subgoals
SDG 2.1
End Hunger
Prevalence of
Undernourishment
Target
5%
Proposed Indicators in Model
From Indicators to Quantitative Targets
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
Prevalence of
Undernourishment
Smallholder productivity
Target
5%
X2
Proposed Indicators in Model
From Indicators to Quantitative Targets
Subgoals
SDG 2.1
End Hunger
SDG 2.3
Smallholder
Productivity
SDG 2.4
Sustainability
Prevalence of
Undernourishment
Total GHG emissions in agriculture
Fertilizer Use | Energy Use | Land Use
+ Water Requirements
Smallholder productivity
Target
5%
X2
NDC
Thank you

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Ceres2030 Launch at CFS 2018

  • 2. Ending Hunger: What would it cost? [2016] • We are not on track for SDG2 • But we can reach it if we • Have more resources • Use better interventions • Realign priorities
  • 3. To build consensus on the interventions needed to end hunger and transform the lives of the world's poorest farmers—while protecting the environment. Our mission
  • 4. We combine state-of-the-art modelling techniques with expert evidence to support a donor roadmap to achieve SDG 2 (focusing on targets 2.1, 2.3 and 2.4) Our strategy
  • 6. How do we develop rigorous evidence?
  • 7. The HLPF reported a dearth of evidence for SDG 2.3 and 2.4 in a review of SDG 2 in 2017. Ceres2030 conducted a scoping study to 110 105 64 37 SDG 2.3 SDG 2.4 Both 2.3 and 2.4 Neither 2.3 and 2.4 Systematic reviews & meta analyses by indicator Noofstudies Our framing question
  • 8. What does the research baseline look like?
  • 9. What do we mean by evidence? • Meeting the SDGs requires “better” evidence • Intervention effectiveness information is scattered • Research is abundant • Many scientists are trained to write research, not evidence • Clearly defined standards of evidence
  • 10. Our work Nature will publish 7-10 evidence reviews of “best bets” for SDG 2.3 and 2.4 A global advisory board will guide topic and author selection Baseline instruments from the cost models will inform intervention topics We will generate media and policy relevant materials from the Tools like risk of bias assessment and protocols help scientists to contribute evidence Our integrated dashboard combines research across siloes to generate better analytics
  • 11. Proactive Engagement strategy (2018) Science Policy Donors May: Policy and Science (Ithaca) July: ICAE (Vancouver) August: AAEA (Washington) August: SDG2 (Wageningen) October: Science Policy Forum (South Africa) November: IFPRI/FAO (Thailand)September: UNGA (New York) September: G20/T20 (Buenos Aires) October: CFS (Rome) December: AERC Biannual Conference (Kenya) April: SDG2 Roadmap Initiative (Washington D.C) September: G7 food security working group (Ottawa) October: SDG2 Roadmap Initiative (Rome) Divider (just a line)
  • 12. Belay Begashaw, Sustainable Development Goals Center for Africa (Rwanda) Catherine Bertini, Rockefeller Foundation Fellow, Chicago Council (USA) Joachim von Braun, Bonn University (Germany) Ronnie Coffman, Cornell University (USA) Boaz Keizire, Alliance for a Green Revolution in Africa (AGRA) (Kenya) Segenut Kelemu, International Centre of Insect Physiology and Ecology (ICIPE) (Kenya) Uma Lele, International Policy Expert (USA/India) Leslie Lipper, Independent Science and Policy Council (FAO) (Italy) Lindiwe Majele Sibanda, Farmer and Food Systems Champion Njuguna Ndung'u, African Economic Research Council (Kenya) Will Martin, International Food Policy and Research Institute (IFPRI) (USA) Prabhu Pingali, Cornell University (USA) Martin Piñeiro, Director CEO Group, Chair, Committee on Agriculture, Argentine Council of International Relations Ruerd Ruben, Wageningen University Maximo Torero, World Bank (USA) Paul Winters, International Fund Agricultural Development (IFAD) (Italy) Scott Vaughan, International Institute for Sustainable Development (IISD) (Canada) Li Xiaoyun, China Agricultural University (China) Journal Advisory Board
  • 13. What is the impact on crop yields and water use when farmers use ICTs to manage irrigation? What is the mix of interventions that contribute to poverty reduction while improving market access and off-farm employment opportunities? What is the impact of early warning climate and famine systems on crop loss and economic resilience? Potential questions
  • 15. Existing SDG2 Costing Exercise IFPRI Brief: Quantifying the cost and benefits of ending hunger and undernutrition: Examining the differences among alternative approaches 265 billion Achieving Zero Hunger (FAO, IFAD, WFP) 52 billion IMPACT (IFPRI) 11 billion MIRAGRODEP (IFPRI-IISD)7 billion Investment Framework for Nutrition (World Bank)
  • 16. Existing SDG2 Costing Exercise IFPRI Brief: Quantifying the cost and benefits of ending hunger and undernutrition: Examining the differences among alternative approaches 265 billion Achieving Zero Hunger (FAO, IFAD, WFP) 52 billion IMPACT (IFPRI) 11 billion MIRAGRODEP (IFPRI-IISD)7 billion Investment Framework for Nutrition (World Bank) What are the additional transfers and investments needed to end poverty and hunger in all countries by 2030? How much would hunger decrease given investments to achieve target yield increases by 2030? What is the minimum cost to end hunger for vulnerable households in all countries by 2030? What is the minimum cost to meet the World Health Assembly (WHA) goals on reducing undernutrition by 2025?
  • 17. Ceres2030 Model Overview QUESTIONS Targets for SDG 2 2.1 Target 2.3 Targets 2.4 Targets
  • 18. Ceres2030 Model Overview Achieve Goals, Minimize Cost QUESTIONS Targets for SDG 2 2.1 Target 2.3 Targets 2.4 Targets
  • 19. OUTPUT Ceres2030 Model Overview Achieve Goals, Minimize Cost QUESTIONS Targets for SDG 2 2.1 Target 2.3 Targets 2.4 Targets Total Cost to accomplish SDG 2 targets Optimal Funding Allocation by kind of intervention
  • 20.
  • 21. Micro Level Household Variables food and nutrition security, agricultural productivity, … Comprehensive Modelling
  • 22. Micro Level Household Variables food and nutrition security, agricultural productivity, … Meso Level Micro Level Regional and Sectoral Variables food prices, wages, water use, … Comprehensive Modelling
  • 23. Micro Level Household Variables food and nutrition security, agricultural productivity, … Meso Level Micro Level Regional and Sectoral Variables food prices, wages, water use, … Macro Level Meso Level Micro Level International Macroeconomic Variables International trade linkages, fiscal balance, … Comprehensive Modelling
  • 24. Micro Level Household Variables food and nutrition security, agricultural productivity, … Meso Level Micro Level Regional and Sectoral Variables food prices, wages, water use, … Macro Level Meso Level Micro Level International Macroeconomic Variables International trade linkages, fiscal balance, … Macro Level Meso Level Micro Level Integrated, multi-level approach Model: MIRAGRODEP Computable General Equilibrium with household-level data Comprehensive Modelling
  • 25. Selecting Indicators for Targets Select indicators that reflect our SDG 2 subgoals…
  • 26. Selecting Indicators for Targets …given limited consensus on definitions and data. Select indicators that reflect our SDG 2 subgoals… ?
  • 27. Where do I belong? Monitored And Targeted Population The Farmer The Poor The Hungry I
  • 28. Well-defined indicator, directly used in model Not used, insufficient data Used, some limitations Not defined by UN Alternative indicators used Used, some limitations UN-Proposed Indicators Selecting Indicators for Targets Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Production per Labor Unit % of Agricultural Area that Is Sustainable Food Insecurity Experience Scale Average Income by Sex and Indigenous Status UN Tier 1 2 3 3 3 In Model? Yes No Yes No Yes
  • 29. Proposed Indicators in Model Summary of Indicators Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Household Only Caloric Hunger LimitsScale
  • 30. Proposed Indicators in Model Summary of Indicators Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Net Income for smallholder farmers Household Household Only Caloric Hunger LimitsScale Strong Overlap with SDG 1
  • 31. Proposed Indicators in Model Summary of Indicators Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Net Income for smallholder farmers Household Household Only Caloric Hunger LimitsScale Strong Overlap with SDG 1 ?
  • 33. SDG 2.4 Adaptation Included in 2.1 and 2.3 Mitigatio n: GHG Emission s Economic dimension Model rationalit y Social Dimension No One Left Behind (2.1, 2.3) Water Needs Monitoring Energy Use Land Use Fertilizer Use
  • 34. Proposed Indicators in Model Summary of Indicators Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Net Income for smallholder farmers Household Household Only Caloric Hunger LimitsScale Strong Overlap with SDG 1 Total GHG emissions in agriculture Fertilizer Use | Energy Use | Land Use + Water Requirements National Have to be considered with other indicators
  • 35. Proposed Indicators in Model From Indicators to Quantitative Targets Subgoals SDG 2.1 End Hunger Prevalence of Undernourishment Target 5%
  • 36. Proposed Indicators in Model From Indicators to Quantitative Targets Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity Prevalence of Undernourishment Smallholder productivity Target 5% X2
  • 37. Proposed Indicators in Model From Indicators to Quantitative Targets Subgoals SDG 2.1 End Hunger SDG 2.3 Smallholder Productivity SDG 2.4 Sustainability Prevalence of Undernourishment Total GHG emissions in agriculture Fertilizer Use | Energy Use | Land Use + Water Requirements Smallholder productivity Target 5% X2 NDC

Hinweis der Redaktion

  1. CS: 2 – 9 JP – 10 – 16 DL: 17 - 25
  2. This leads to our new project Mobilizing evidences to achieve SDG2 in cost effective way
  3. We use machine learning models to explore the text. Natural language tools bypass the limitations presented by databases and see into the granular conversations science is having. It takes difficult scientific concepts and assigns them to more understandable terms. We assign confidence intervals to quantify relevancy. This presents a much friendly way to assess materials without losing scientific complexity.
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