Robust and reliable agricultural data is essential for countries to develop targeted policies for sustainable food production and economic growth. But many low- and lower middle-income countries are often unable to produce and use this kind of data.
The papers cover the Initiative’s innovative approaches to a range of issues, from data collection, to modelling, to technical and financial assistance, and more. As well as providing insights into the successes and challenges to date, they also contribute to critical discussions on the production and use of agricultural data for impact.
Closing the data gap in agriculture through sustainable investment in the data value chain: Realizing the vision of the 50x2030 Initiative
Zezza A, Gourlay S, and Molini V.
From agricultural statistics to zero hunger: How the 50x2030 Initiative is closing data gaps for SDG2 and beyond
Villarino MEJ, Buenaseda-Tejada MG, and Patterson SE.
The 50x2030 Initiative and production of SDG 2 indicators: Country challenges and experiences
Bolliger F, Bako D, Brunelli C, Georgieva N, Koudelka K, Missiroli S, and Pare L.
Integrated sampling design for agricultural and socio-economic households surveys: Overview and application in Uganda Harmonized Integrated Survey
Bako D, D’Orazio M, Missiroli S, Ssennono VF, Brunelli C, Kilic T, Ponzini G, and Bolliger F.
Individual land rights: Filling data gaps with the 50x2030 Initiative
Brunelli C, and Gourlay S.
Combining farm and household surveys with modelling approaches to improve post-harvest loss estimates and reduce data collection costs
Rühl D, Tiberti M, Mendez-Gomez-Humaran I, and Cachia F.
The integration of socio-economic and agricultural surveys by national statistical offices: The case of the Uganda Integrated Household Survey
Ponzini G, Baryahirwa S, Brunelli C, Ilukor J, Kilic T, Mugabe S, Mupere A, Okello P, Oumo F, and Ssennono V.
Facilitating data use for decisionmaking: 50x2030’s approach
Winters P, Hogue E, Steiner M, Keramati C, Rokhideh M, and Eissler S.