This report presents results of a study to assess the use of foresight modeling tools and outputs produced since 2012 and funded through Flagship 1, Cluster 1.1 of the CGIAR Research Program on Policies, Institutions, and Markets (PIM). The goal of this study is to examine how the tools and outputs of foresight modeling supported by PIM through Flagship 1 (hereafter “PIM-supported foresight modeling”) have been used by stakeholders. The study aims to identify as many uses of and outcomes from the PIM-supported foresight modeling as possible. It is by no means comprehensive, but it does cover usage by a wide range of stakeholders from across the CGIAR system, other international organizations, academia, and national governments.
This is an open access book. The 4th Vocational Education International Conference (VEIC 2022) is an annual and internationally - refereed conference. The main objective of VEIC 2022 is to provide an international platform for researchers, practitioners, stakeholders in the field of vocational education to discuss about the issue and challenges in the field of Technology and Vocational Education. The main theme of VEIC 2022 is Post-pandemic Challenge in Technical and Vocational Education and Training of Higher Education.
PIM had a productive final year centered on synthesizing findings while continuing to respond to demand on the impacts of COVID-19 and preparing the transition to the new CGIAR portfolio. PIM findings and engagement contributed to Myanmar’s response to COVID-19, South Africa’s policies on resilience to climate change, Tunisia's policies for pastoral development, a reform of Nigeria’s national agricultural research system, Ghana’s fish seed and farm certification system, gender strategies for three agricultural value chains in Honduras, and genome editing guidelines for the agricultural sector in four African countries. PIM research informed policy documents of FAO, IFAD, One CGIAR, the UK Government, the World Bank and the World Food Programme. PIM tools enabled more equitable co-management of 76 protected areas in Peru and informed World Bank social protection projects. Books on food security in Bangladesh and Malawi, trade in Latin America, African agricultural value chains and gender were published. 42 PIM synthesis briefs and notes were issued, summarizing research results in key thematic areas. PIM contributed 181 journal articles, 8 journal issues (on demand driven seed systems, China’s response to COVID-19, agriculture and food security in China under COVID-19, food loss and waste, landscape restoration, multistakeholder fora in forestry and two issues on gender), 15 book chapters and about 500 non-peer-reviewed outputs. 16 PIM webinars were organized. PIM’s contributions to the United Nations Food Systems Summit covered agricultural extension, food system innovations and digital technologies, the future of small farms, the science-policy interface, the cost of ending hunger by 2030, food waste and loss, management of the commons and gender. Building on past PIM investments in economywide modeling tools and social accounting matrices, PIM teams continued to assess the impacts of COVID-19 and policy responses at country level. Lessons learned from PIM country-level analyses on COVID-19’s impacts on food systems, poverty and diets are summarized in a chapter of the IFPRI 2022 book “COVID19 and global food security: Two years later”. A paper in partnership with the CGIAR COVID19 Hub reviewed the literature on agri-food value chains for evidence of fractures and resilience in response to the pandemic. The results of coordinated studies on the impacts of COVID-19 on value chains in different countries were published. Several cross-CGIAR outputs initiated by PIM speak to the fulfillment of PIM’s convening role as an integrating program: the CGIAR Foresight Report and CGIAR foresight website; several outputs produced through the CGIAR Community of Excellence on Seed Systems Development, and the CGIAR book “Advancing gender equality through agricultural and environmental research: Past, present, and future” are examples. Other examples of PIM global public goods produced in 2021 are 27 innovations at various stages of uptake, a cross-cutting effort to distill PIM lessons on migration; new or updated social accounting matrices for 25 countries; and lessons and tools on stakeholder platforms for natural resource governance. Independent reviews assessed the effectiveness of PIM’s partnerships and the use by partners of PIM’s work on economywide modelling, agricultural insurance, tenure and governance, and the Ag-Incentives database.
Trade flows and trade policies need to be properly quantified to describe, compare, or follow the evolution of policies between sectors or countries or over time. This is essential to ensure that policy choices are made with an appropriate knowledge of the real conditions. This practical guide introduces the main techniques of trade and trade policy data analysis. It shows how to develop the main indexes used to analyze trade flows, tariff structures, and non-tariff measures. It presents the databases needed to construct these indexes as well as the challenges faced in collecting and processing these data, such as measurement errors or aggregation bias. Written by experts with practical experience in the field, A Practical Guide to Trade Policy Analysis has been developed to contribute to enhance developing countries' capacity to analyze and implement trade policy. It offers a hands-on introduction on how to estimate the distributional effects of trade policies on welfare, in particular on inequality and poverty. The guide is aimed at government experts engaged in trade negotiations, as well as students and researchers involved in trade-related study or research. An accompanying DVD contains data sets and program command files required for the exercises. Copublished by the WTO and the United Nations Conference on Trade and Development
Since 1985, the Chinese government has given high priority to building roads, particularly high-quality roads that connect industrial centers. This report evaluates the contribution roads have made to poverty reduction and economic growth in China over the last two decades. It disaggregates road infrastructure into different classes to account for differences in their quality, and then estimates the impact of road investments on overall economic growth, agricultural growth, urban growth, urban poverty reduction, and rural poverty reduction. The report makes the case for a greater focus on low-quality and rural roads in future infrastructure investment strategies in China. It does so by showing how investing in low-quality and rural roads will generate larger marginal returns, raise more people out of poverty per yuan invested, and reduce regional development disparity more sharply than investing in high-quality roads. The study's findings will have considerable implications for China's infrastructure policy
Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.
Policies, Institutions, and Markets (PIM) is one of CGIAR’s Global Integrating Programs, focused on addressing the policy, institutional, and market constraints to sustainable and equitable economic development and rural transformation. Such roadblocks include regulations restricting adoption of technologies by smallholder farmers, inefficient allocation of public resources, market failures or missing markets, weak property rights, restrictive gender norms and practices, and exposure of smallholders to shocks and risks. PIM aims to address these constraints through four main channels: global agenda setting, national policy support, program and market innovations, and capacity development.
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.
