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This study—which includes a pilot intervention in Kenya—aims to further the state of knowledge about the emerging trend of disruptive agricultural technologies (DATs) in Africa, with a focus on supply-side dynamics. The first part of the study is a stocktaking analysis to assess the number, scope, trend, and characteristics of scalable disruptive technology innovators in agriculture in Africa. From a database of 434 existing DAT operations, the analysis identified 194 as scalable. The second part of the study is a comparative case study of Africa’s two most successful DAT ecosystems in Kenya and Nigeria, which together account for half of Sub-Saharan Africa’s active DATs. The objective of these two case studies is to understand the successes, challenges, and opportunities faced by each country in fostering a conducive innovation ecosystem for scaling up DATs. The case study analysis focuses on six dimensions of the innovation ecosystem in Kenya and Nigeria: finance, regulatory environment, culture, density, human capital, and infrastructure. The third part of the study is based on the interactions and learnings from a pilot event to boost the innovation ecosystem in Kenya. The Disruptive Agricultural Technology Innovation Knowledge and Challenge Conference in Nairobi, Kenya, brought together more than 300 key stakeholders from large technology companies, agribusiness companies, and public agencies; government representatives and experts from research and academic institutions; and representatives from financial institutions, foundations, donors, and venture capitalists. Scaling Up Disruptive Agricultural Technologies in Africa concludes by establishing that DATs are demonstrating early indications of a positive impact in addressing food system constraints. It offers potential entry points and policy recommendations to facilitate the broader adoption of DATs and improve the overall food system.
The Food and Agriculture Organization of the United Nations (FAO) launched an initiative to assess the existing impediments for scaling innovation and technology in food and agriculture (AgTech) and to identify options to improve the enabling environment for AgTech-focused businesses. The initiative offers a tool for decision makers to promote the uptake of AgTech, investment and entrepreneurship in Africa, ultimately to advance agricultural productivity and food security. The first cohort evaluates the AgTech ecosystems in three East African countries: Kenya, Rwanda, and Uganda.
This paper presents results from a framed field experiment in which participants make decisions about extraction of a common-pool resource, a community forest. The experiment was designed and piloted as both a research activity and an experiential learning intervention during 2017-2018 with 120 groups of resource users (split by gender) from 60 habitations in two Indian states, Andhra Pradesh and Rajasthan. We examine whether local beliefs and norms about community forest, gender of participants, within-experiment treatments (non-communication, communication, and optional election of institutional arrangements (rules)) and remuneration methods affect harvest behaviour and groups’ tendency to cooperate. Furthermore, we explore whether the experiment and subsequent community debriefing had learning effects. Results reveal a “weak” Nash Equilibrium in which participants harvested substantially less than the Nash prediction even in the absence of communication, a phenomenon stronger for male than female participants in both states. For male groups in both states, both communication and optional rule election are associated with lower group harvest per round, as compared to the reference non-communication game. For female groups in both states, however, communication itself did not significantly slow down resource depletion; but the introduction of optional rule election did reduce harvest amounts. For both men and women in Andhra Pradesh and men in Rajasthan, incentivized payments to individual participants significantly lowered group harvest, relative to community flat payment, suggesting a possible “crowding-in” effect on pro-social norms. Despite the generally positive memory of the activity, reported actual changes are limited. This may be due to the lack of follow-up with the communities between the experiment and the revisit. The fact that many of the communities already have a good understanding of the importance of the relationships between (not) cutting trees and the ecosystem services from forests, with rules and strong internal norms against cutting that go beyond the felling of trees in the game, may have also meant that the game did not have as much to add. Findings have methodological and practical implications for designing behavioral intervention programs to improve common-pool resource governance.
Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.
This volume presents insights on the challenges of digital communication and participation in agricultural and rural development. The COVID-19 pandemic has revealed that digital technology and mediated participation is more important and essential in managing ongoing communication for development projects than ever before. However, it has also underscored the various challenges and gaps in knowledge with digital participatory practices, including the further exclusion of marginalized groups and those with limited access to digital technology. The book considers how the concept of participation has been transformed by the realities of the pandemic, reflecting on essential principles and practical considerations of communication for development and social change, particularly in the context of global agriculture and food security, the well-being of rural communities, and evolving environmental challenges, such as climate change. In gathering these insights, this volume highlights lessons for the future of participatory development in communication for development and social change processes. This volume will be of great interest to students and scholars of agricultural and rural development, communication for development, digital communication, and sustainable development more broadly.
This thorough and incisive Research Handbook reconstructs the scholarly discourses surrounding the field of law and technology, discussing the salient legal, governance and societal problems stemming from the use of different technologies, and how they should be treated under various legal frameworks. This title contains one or more Open Access chapters.
Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.
Africa’s Development Dynamics uses lessons from Central, East, North, Southern and West Africa to develop policy recommendations and share good practices. The 2022 edition explores how developing regional value chains can help African countries rebound from the socio-economic shocks of the COVID-19 pandemic and accelerate productive transformation.
The new Kenyan government faces a complex domestic and global environment, and it is widely expected to address key food and agricultural challenges with a new set of policies and programs. This policy brief presents key recommendations from a forthcoming book, Food Systems Transformation in Kenya: Lessons from the Past and Policy Options for the Future, which provides research-based “food for thought and action” to support the Kenyan government’s efforts to improve food security.
The Future of Work in Africa focuses on the key themes of creating productive jobs and addressing the needs of those left behind. It highlights how global trends, especially the adoption of digital technologies, may change the nature of work in Sub-Saharan Africa by creating new opportunities and challenges. It argues that, contrary to global fears of worker displacement by new technologies, African countries can develop an inclusive future of work, with opportunities for lower-skilled workers. Harnessing these opportunities is, however, contingent on implementing policies and making productive investments in four main areas. These are enabling inclusive digital technologies; building human capital for a young, rapidly growing, and largely low-skilled labor force; increasing the productivity of informal workers and enterprises; and extending social protection coverage to mitigate the risks associated with disruptions to labor markets. This companion report to the World Bank’s World Development Report 2019 concludes with important policy questions that should guide future research, whose findings could lead to more inclusive growth for African nations.