The purpose of this Guidance Note is to help countries to assess the quality of public spending on science, technology, and innovation (STI). It adopts a results-oriented framework, combining the consolidation of STI expenditures with the analysis of their main outputs, intermediate outcomes, and developmental impact. The framework proposes the analysis of three main sources of deficiencies: (i) program design/implementation; (ii) institutional conditions; and the (iii) composition and level of public expenditure.
This report analyses the experiences and lessons from three World Bank-Supported watershed development projects in the Indian states of Karnataka, Himachal Pradesh, and Uttarakhand.5 The primary reason for the analysis was to guide the development and execution of new watershed programs in India, including new Bank-supported state-level operations in Uttarakhand and Karnataka, and a proposed national project now under preparation.
The Africa Research In Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative.
The workshop was attended by over 50 people including partners from CGIAR centres, Regional Research Institutes and Centres, Universities, woredas and kebeles working with Africa RISING. The workshop discussed the use of different approaches, methods and tools for the efficient and
sustained functioning of innovation platforms (IPs) that could improve research and subsequent scaling up of suitable technologies and value chains to improve livelihoods.
The presentation is for the ILRI Innovation Platform (IP) Training Workshop. At the end of this session participants will be able to: Capture basic concepts in IP monitoring and evaluation; Comprehend why it is important to monitor and evaluate IPs; Contribute to fine-tuning of Africa RISING IP monitoring and evaluation framework; Identify IP TG members championing the M&E work at the research sites.
The Climate Change and Social Learning (CCSL) Initiative is a cross-organisation group working to build a body of evidence on how social learning methodologies and approaches contribute towards development targets. Together with a select number of participating initiatives from a variety of organisations, we are working towards establishing a common monitoring and evaluation (M&E) framework for new projects and programmes using a social learning-oriented approach.
The objective of this Guide is to recommend a process and set of steps for an organization to prepare, establish and to develop effective Water Users Associations (WUA) suitable to Tajikistan. It summarizes lessons learned in Tajikistan, by two donor finance projects, which established and trained 97 WUAs. Establishment of WUAs is essential in order to solve existing problems in the irrigation sector and other challenges faced by farmers and other water users3 .
Providing food and other products to a growing human population while safeguarding natural ecosystems and the provision of their services is a significant scientific, social and political challenge. With food demand likely to double over the next four decades, anthropization is already driving climate change and is the principal force behind species extinction, among other environmental impacts. The sustainable intensification of production on current agricultural lands has been suggested as a key solution to the competition for land between agriculture and natural ecosystems.
Traditional shifting cultivation in the Amazon region has caused negative environmental and social effects due to the use of fire. This type of agriculture has been criticized because it results in emission of large amounts of carbon into the atmosphere and a loss of soil productive potential.
Findings from a survey on sources of income and land allocation outcomes of 578 households from 26 communities with diverse ethnic composition at distinct environmental settings in Ucayali (Peruvian Amazon) are used to contrast livelihood strategies featuring high forest and high agriculture dependency, examining whether agricultural intensification can be linked to lower deforestation. A typology of households based on their land use allocation profile was used to assess current and cumulative cleared land.