Hand-in-Hand Initiative

5 PRINCIPLES

FAO mandate and

SDG targets

Provide a

framework

Matchmaking

Target the

poorest

Partnerships

5 PRINCIPLES

FAO mandate and

SDG targets

Provide a

framework

Matchmaking

Target the

poorest

Partnerships

5 PRINCIPLES

FAO mandate and

SDG targets

Provide a

framework

Matchmaking

Target the

poorest

Partnerships

5 PRINCIPLES

FAO mandate and

SDG targets

Provide a

framework

Matchmaking

Target the

poorest

Partnerships

5 PRINCIPLES

Target the poorest

Matchmaking

FAO mandate and SDG targets

Partnerships

Provide a framework

5 PRINCIPLES

Target the poorest

Matchmaking

FAO mandate and SDG targets

Partnerships

Provide a framework

Differentiated strategies

All food systems dimensions

Info on donor interventions

Geospatial platform

Prioritization metric for

interventions

Differentiated strategies

All food systems dimensions

Info on donor interventions

Geospatial platform

Prioritization metric for

interventions

Differentiated strategies

All food systems dimensions

Info on donor interventions

Geospatial platform

Prioritization metric for

interventions

Differentiated strategies

All food systems dimensions

Info on donor interventions

Geospatial platform

Prioritization metric for

interventions

. Differentiated strategies

. All food systems dimensions

. Info on donor interventions

. Geospatial platform

. Prioritization metric for interventions

. Differentiated strategies

. All food systems dimensions

. Info on donor interventions

. Geospatial platform

. Prioritization metric for interventions

Hand-in-Hand is FAO’s evidence-based, country-led and country-owned initiative to accelerate agricultural transformation and sustainable rural development to eradicate poverty (SDG 1) and end hunger and all forms of malnutrition (SDG2). In doing so, it contributes to attaining all of the Sustainable Development Goals. The initiative prioritizes countries where national capacities and international support are the most limited or where operational challenges, including natural- or man-made crises, are the greatest.

Beneficiary countries where activities have already started

The Hand-in-Hand Initiative beneficiaries countries are currently: Burkina Faso; Ecuador; El Salvador; Ethiopia; Guatemala; Haiti; Honduras; Kiribati; Lao People's Democratic Republic; Malawi; Mali; Nepal; Pakistan; Papua New Guinea; Solomon Islands; Tajikistan; Tuvalu;Yemen; Zimbabwe. 

Matchmaking

The initiative brings together countries that have the highest rates of poverty and hunger with developed countries. It focuses on areas with high agricultural potential at subnational level. Matchmaking can imply attracting new donors or private sector investments, as well as identifying investment gaps to work with existing donors or multilateral and bilateral agencies.

Hand in Hand Geospatial Platform

A GIS data platform supports all stakeholders with rich, shareable data (agro-ecology, water, land, soils, GHG, etc.), respecting the proper protocols of data confidentiality. The platform also includes a subnational system of donor information developed by FAO and its partners.

Priority Countries

Hand-in-Hand focuses on countries that struggle with poverty and food security. The initiative applies a framework specifically conceived to identify areas within these countries that have good agricultural potential but also high levels of poverty and hunger.

Activities

The Hand-in-Hand initiative relies on an umbrella funding mechanism. In addition to the GIS data platform, the initiative includes the development an innovation data lab and a monitoring and evaluation dashboard. Global and country technical task forces coordinate support across the Organization while round tables help define priorities and investment gaps.

Data Lab for Statistical Innovation

The Data Lab for statistical innovation uses state of the art technologies  to address the challenges posed by the Hand in Hand Initiative in the wider context of globalization, innovation and cultural changes that are affecting the traditional statistical systems. The Initiative triggers the need for complex analysis on cross-domain, from the global down to the granular level. The Data Lab is implementing the combined use of non-conventional data sources, big data, data science and text mining methods for decision-making and impact assessment, where timeliness is a crucial quality dimension.

Share this page