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1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect the views of the Bill & Melinda Gates Foundation.

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Page 1: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Agricultural StatisticsCapacity Building

PRESENTED BY

Chris GingerichOctober 30, 2009

Views expressed are the authors’ own and do not necessarily reflect the views of the Bill & Melinda Gates Foundation.

Page 2: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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• The Gates Foundation & Agricultural Development Overview

• Overview of Selected Policy and Statistics Grants

• Capacity Building

Outline

Page 3: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Our Grantmaking Areas

FOUNDATION OVERVIEW

25%Global DevelopmentProgram

50%Global HealthProgram

25%United StatesProgram

Greater opportunity for all Americans through the attainment of secondary and postsecondary education

Increasing opportunities for people in developing countries to lift themselves out of hunger and poverty

Discover, develop,and deliver life savinghealth solutions topeople that needthem most

$2.8 billion in grants in 2008; ~$20 billion since inception

Page 4: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Our Areas of Focus

Global Development makes grants in the following areas:

GLOBAL DEVELOPMENT

AgriculturalDevelopment

FinancialServices

for the Poor

Policy &Advocacy

SpecialInitiatives

Water, Sanitation & Hygiene

Global Libraries

Urban Poverty

Emergency Relief

Science & TechnologyFarmer Productivity

Market AccessPolicy &Statistics

Page 5: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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The Agricultural Development team is comprised of four focus areas

AGRICULTURAL DEVELOPMENT

1. Science & Technology 2. Farmer Productivity 3. Market Access

4. Policy & Statistics

• Quality seeds• Irrigation

• Fertilizer• Education

and training

• Research and development on crop improvement issues

• Access to information• Access to new and

existing markets• Structured demand

• Data and statistics • Research and analysis • Advocacy and policy change • Learning and improvement

Page 6: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Policy and Statistics

Our Strategy:

•Improve the evidence base that is necessary for better agricultural investment and policy decisions. •Support analysis, outreach and advocacy for evidence-based decision-making.•Invest across the “policy wheel,” including:

• Data and statistics

• Research and analysis

• Advocacy and policy change

• Policy implementation

• Impact and learning

AG POLICY & STATISTICS

Page 7: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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AG POLICY & STATISTICS

We have an Integrated Statistics, Policy and Advocacy Strategy

• Policy-relevant data systems• Better access to data• Capacity to collect and use

data

• Policy-relevant data systems• Better access to data• Capacity to collect and use

data

• Understand the policy context• Disseminate data & analysis• Develop advocacy plan• Build networks

• Understand the policy context• Disseminate data & analysis• Develop advocacy plan• Build networks

• Strengthen policy networks, mobilize stakeholders,

• Build capacity amongst decision-makers

• Strengthen policy networks, mobilize stakeholders,

• Build capacity amongst decision-makers

The “Policy wheel”

Implemen-tation

Monitoring, evaluation & priority setting Data &

Statistics

Research & Policy AnalysisDeliberation,

negotiation & policy selection

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2

3

4

1

• Performance Tracking• Sharing lessons• Improving approach

• Performance Tracking• Sharing lessons• Improving approach

• Understand issues• Build analytical tools• Evaluate and prioritize

policy options• Develop capacity for policy

analysis

• Understand issues• Build analytical tools• Evaluate and prioritize

policy options• Develop capacity for policy

analysis

Page 8: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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• Data Collection for increasing availability, consistency and quality of data• Household surveys in Sub-Saharan Africa & South Asia, with focus on

small farmers and smallholder agriculture (WB-LSMS, WFP CFSVA, ICRISAT VLS)

• Policy and business-climate indicators (WB-DBA; FAO MAFAP)• Technology adoption indicators (ASTI)

• Data & Statistics Platforms for improving access to data and statistics for analysis and decision support• FAO CountryStat, IFPRI Harvest Choice, AgCommons

• Capacity Building aligned with the Global Strategy for Agricultural Statistics• Furthering the use of remote sensing, GIS and other technologies for

improving the quality, consistency and cost-efficiency of data collection• Strategies for human resource and institutional capacity building• Integration with National Statistics Development Strategies (NSDS)

Data & Statistics Investment Areas

AG POLICY & STATISTICS

Page 9: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Open Education Resources (OER)

• Open Educational Resources (OER) are teaching and learning materials that are freely available for anyone to use, reuse, adapt, and share for teaching, learning, and research.

• OER can exist as smaller, stand-alone resources (reusable learning objects), that can be mixed and combined to form larger pieces of content (e.g. larger course modules or full courses).

• OER can also include syllabi, texts, software, workbooks, journals, and other tools.

• These materials are considered open if they are released under an open license such as a Creative Commons license.

• Materials can be shared and customized/localized by faculty, students, researchers, government staff, NGO staff, extension staff, enumerators, farmers, etc

AG POLICY & STATISTICS

Page 10: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Grant Profile – AERC / Collaborative Masters in Agricultural Economics

Approach

• Pan-African master’s program involving 12 universities

• First year at one of six accredited universities; 3rd semester “capstone” at Pretoria; theses research at home university

• Graduates targeted for employment in government ministries, research institutes, NGOs, and agribusiness

• Strengthen network for agricultural economics research.

• Support for teaching and research capacity at universities.

Expected Outputs and Outcomes:

• 282 MSc graduates across three cohorts

• Cadre of African professionals with tools and knowledge to improve African agricultural policy

AG POLICY & STATISTICS

Page 11: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Grant Profile – World Bank / LSMS-ISA

AG POLICY & STATISTICS

Living Standards Measurement Studies – Integrated Surveys in Agriculture

Approach:•Nationally representative panel surveys in (so far)

Tanzania, Uganda, Malawi, Ethiopia, Nigeria, Niger

•Surveys are multi-topic, with detailed agriculture module

•Surveys conducted by National Statistics Organizations,

with technical assistance from World Bank staff

•Utilizes Computer-Assisted Personal Interviewing and GPS for data collection

•Strong focus on capacity building, institutionalizing household survey

systems, and integrating across data sources (e.g. census surveys, satellite data)

Expected Outputs and Outcomes:•Open access, high quality datasets used extensively for research, policy and programs

•Strong country-owned stats systems for monitoring rural poverty and agriculture’s role

Page 12: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Geospatial Investments in Agriculture

Remote Sensing for Ag Statistics•Research Project: Review past, current and future projects that utilize remote sensing in the production of agricultural statistics in sub-Saharan Africa; understand successes, challenges, learnings, and opportunities; (RCMRD, Kass Green)

•Possible future project to answer open questions and demonstrate proof of concept for cost-effective and sustainable application of RS to ag statistics in SSA

AgCommons•Geospatial technology platform combined with information & services targeted at improving the lives of small farmers in Africa

•Coordinated by BioVersity; Steering committee with representation from public sector, private sector, NGOs, FAO; African organizations; (Stan Wood, IFPRI)

AG POLICY & STATISTICS

Page 13: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Capacity Building Starts with Needs Assessment & Gap Analysis

To address capacity building across multiple dimensions,we must first assess needs along multiple dimensions...

AG POLICY & STATISTICS

User needs/gap:

demand for data,

statistics & indicators

Users: Government,

academia, think

tanks, private sector,

NGOs, M&E, etc…

• Human resources needs/gap: existing skills/capacity vs skills/capacity required to meet information needs

• Technical / methodological needs/gap: Tools, practices, standards, definitions, norms required to meet information needs

• ICT needs/gap: mobile devices, remote sensing, software, connectivity, GPS, data sharing, etc required to meet info needs

• Institutional needs/gap: institutions & orgs needed to support info needs (e.g. NSDS, inter-agency coordination, etc)

Page 14: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Capacity Building Activities are Driven by Needs Assessment & Gap Analysis

AG POLICY & STATISTICS

Human resourceneeds

Institutionalneeds

Technical/methodologicalneeds

ICTneeds

Training

TechnicalAssistance

Research

Page 15: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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We Need Coordinated Strategies, Plans & Proposals for Capacity Building

AG POLICY & STATISTICS

Training (including needs assessment & gap analysis)• Build upon the survey that was distributed this morning

• Sustainability – Training provided by African orgs, regional institutions, country-to-country collab ; E-learning & open educational resources

• Training of current staff and future workforce; scholarships?

Technical Assistance (incl needs assessment & gap analysis)• FAO, World Bank, Paris21, and many others

• Regional & country-to-country

Research (including needs assessment & gap analysis)• Research by African institutions; in partnership with international orgs

Global Strat for Ag Statistics; NSDS; AfDB, FAO, other CB Programs

Page 16: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

16 © 2009 Bill & Melinda Gates Foundation |

Women farmers play a large & important role in agriculture…

Women must also play a large &important role in agricultural statistics

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Women in Statistics

Page 17: 1 Agricultural Statistics Capacity Building PRESENTED BY Chris Gingerich October 30, 2009 Views expressed are the authors’ own and do not necessarily reflect

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Thank you