. The sector is an engine of job creation: , while the share of jobs across the food system is potentially much larger. In Ethiopia, Malawi, Mozambique, Tanzania, Uganda, and Zambia, the food system is projected to add more jobs than the rest of the economy between 2010 and 2025.
We’re pleased to announce support for 12 projects which seek to improve the way development data are produced, managed, and used. They bring together diverse teams of collaborators from around the world, and are focused on solving challenges in low and lower middle-income countries in Sub-Saharan Africa, East Asia, Latin America, and South Asia.
Following the success of the first round of funding in 2016, in August 2017 we announced a $2.5M fund to support Collaborative Data Innovations for Sustainable Development. The World Bank’s Development Data group, together with the Global Partnership for Sustainable Development Data, called for ideas to improve the production, management, and use of data in the two thematic areas of “Leave No One Behind” and the environment. To ensure funding went to projects that solved real people’s problems, and built solutions that were context-specific and relevant to its audience, applicants were required to include the user, in most cases a government or public entity, in the project team. We were also looking for projects that have the potential to generate learning and knowledge that can be shared, adapted, and reused in other settings.
From predicting the movements of internally displaced populations in Somalia to speeding up post-disaster damage assessments in Nepal; and from detecting the armyworm invasive species in Malawi to supporting older people in Kenya and India to map and advocate for the better availability of public services; the 12 selected projects summarized below show how new partnerships, new methods, and new data sources can be integrated to really “put data to work” for development.
This initiative is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom’s Department for International Development (DFID), the Government of Korea and the Department of Foreign Affairs and Trade of Ireland.
2018 Innovation Fund Recipients
- Sustainable Communities
- 2018 Innovation Fund Recipients
- Development Data Innovation Projects
- Social Development
- Agriculture and Rural Development
- Climate Change
- The World Region
- South Asia
- Latin America & Caribbean
- East Asia and Pacific
- Sierra Leone
- Wallis and Futuna Islands
- New Caledonia
- Burkina Faso
Photo: CIFOR | Flickr Creative Commons
Africa is a continent rich in natural resources and boasts a large young, ambitious, and entrepreneurial-minded population. Harnessed properly, these endowments and advantages could usher in a period of sustained economic growth and increased well-being for all Africans.
However, a lack of modern infrastructure is a major challenge to Africa’s economic development and constitutes a significant impediment to the achievement of the Sustainable Development Goals.
According to a recent report by the World Bank, there are varying trends in Africa’s infrastructure performance across key sectors and regions. In telecommunications, Sub-Saharan Africa has seen a dramatic improvement in the quantity and quality of infrastructure, and the gains are broad-based. Access to safe water has also risen, with 77% of the population having access to water in 2015, from 51% in 1990. In the power sector, by contrast, the region’s electricity-generating capacity has changed little in more than 20 years. At about 0.04 megawatts per 1,000 people, capacity is less than one-third of that of South Asia, and less than one-tenth of that of Latin America and the Caribbean.
The world’s climate is changing, and is projected to continue to do so for the foreseeable future. The impact of climate change will be particularly felt in agriculture, as rising temperatures, changing rainfall patterns, and increased pests and diseases pose new and bigger risks to the global food system. Simply put, climate change will make food security and poverty reduction even more challenging in the future.
Written laws often fall short of adequately protecting women’s tenure rights; while in some countries, formal national laws explicitly discriminate against women.
On March 8, 2016, on the occasion of International Women’s Day, Habitat for Humanity International launched its first global advocacy campaign, “Solid Ground,” which envisions a world where everyone has access to land for shelter. Promoting gender equality and addressing inequitable or unenforced laws, policies, and customary practices affecting women’s rights to security of tenure and inheritance, has been a primary focus of the campaign.
Now mid-way through the campaign, Solid Ground has grown to include 37 national Habitat for Humanity organizations, 17 partner organizations, an active microsite solidgroundcampaign.org (and in Spanish, SueloUrbano.org), and has provided direct financial assistance to country programs working on gender and land issues. In its first year, over 1.3 million people are projected to have improved access to land for shelter through the Solid Ground campaign with a goal of reaching 10 million people, especially women.
Through a variety of efforts to build capacity, mobilize allies, influence policymakers, and work together with our partners, A sampling of some strategies, cases, and upcoming plans are highlighted below.
In many ways, girls’ education is a success story in global development. Relatively simple changes in national policies – like making primary schooling free and compulsory – have led to dramatic increases in school enrollment around the world. In Uganda, for example, enrollment increased by over 60 percent following the elimination of primary school fees.
As more young people have enrolled in school, gaps in educational attainment between boys and girls have closed. According to UNESCO, by 2014, “gender parity (meaning an equal amount of men and women) was achieved globally, on average, in primary, lower secondary, and upper secondary education.”
Yet, more than 250 million children are not in school. Many more drop out before completing primary school. And many young people who attend school do not gain basic literacy skills. These challenges remain particularly acute for poor girls.
In a new paper, published in Population and Development Review, we explore recent progress in girls’ education in 43 low- and middle-income countries. To do so, we use Demographic and Health Survey data collected at two time points, the first between 1997 and 2007 (time 1), and the second between 2008 and 2016 (time 2).
Despite much progress over the last two decades, girls still have lower levels of educational attainment on average than boys at the secondary school level in Uganda. In part this is because many girls are married or have children before the age of 18—often before they are physically and emotionally ready to become wives and mothers. Educating girls, ending child marriage, and preventing early childbearing is essential for girls to have agency, as future wives and mothers, and for Uganda to reach its full development potential.
On September 20th, 2017, a young hunter, in his 30s, arrived at a health center in Kween District, located in Eastern Uganda, on the border with Kenya. He had symptoms of fever, bleeding, diarrhea, and vomiting. Within 5 days he was dead. Two weeks later, his sister also showed up at the same health facility: she had similar symptoms. Within a week, she too was dead. Posthumous samples confirmed that she had Marburg Virus Disease (MVD), one of the most virulent pathogens known to infect humans. On 19th October, the Ugandan government notified WHO and publicly announced an outbreak of MVD. Not long after this announcement, MVD claimed another victim – this time, the hunter’s brother.
The importance of soil health in agrarian societies is indisputable – soil health has a direct relationship with agricultural productivity and sustainability. Yet, its highly complex nature renders it much more challenging to measure than other agricultural inputs, such as fertilizers or pesticides. Household surveys, particularly those in low-income contexts where agriculture is the primary means of livelihood, have generally relied on subjective assessments of soil health – and for good reason. Subjective assessment is relatively inexpensive, and alternative methodological options have historically been prohibitively expensive. Recent advances in rapid low-cost technologies, namely spectral soil analysis, however, have increased the feasibility of integrating objective plot-level soil health measurement in household surveys.
This new Guidebook provides practical guidance for survey practitioners aiming to implement objective soil health measurement via spectral analysis in household and farm surveys, particularly in low-income smallholder farmer contexts. Two methodological experiments, in Ethiopia and Uganda, provide the foundation for this Guidebook. In each study, plot-level soil samples were collected following best-practice protocols and analyzed using wet chemistry and spectral analysis methods at ICRAF’s Soil-Plant Diagnostics Laboratory, in addition to a subjective module of soil health questions asked of the plot manager. The Guidebook offers (i) a comparison of subjective farmer assessments of soil health with laboratory testing, and (ii) step-by-step guidance on how to implement spectral soil analysis in a household- or farm-level survey, from questionnaire design to soil sample collection, labeling, and processing.
The Guidebook is the result of collaboration between the World Bank's Living Standards Measurement Study (LSMS) team, the World Agroforestry Centre, the Central Statistical Agency of Ethiopia, and the Uganda Bureau of Statistics.
For practical advice on household survey design, visit the LSMS Guidebooks page: http://go.worldbank.org/0ZOAP159L0
One of the most storied topics in agricultural economics, dating back to Chayanov’s work on Russian peasants published nearly a century ago, is the inverse relationship between scale (in terms of farm or plot size) and (land) productivity - commonly known as the IR.