Promoting Statistical Practice And Collaboration In Developing Countries

"Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!" —David Banks from the Foreword Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries. Features • Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners • Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics • Collection of innovative statistical teaching and learning techniques in developing countries Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries.

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Sixth Edition presents and comments on these principles as they've been impacted by changes in laws, regulations, and other aspects of the environment of federal statistical agencies over the past 4 years.

In the twenty-first century, gender-responsive budgeting (GRB) has emerged as a development tool that explores if and how gender equality goals and targets are being effectively supported through government funding. Gender-Responsive Budgeting in Practice: Lessons from Nigeria and Selected Developing Countries argues that, although justified by the high costs of gender inequality to economic growth and development, the use of GRB as a tool to achieve global and regional gender equality goals has seen little progress in the twenty-first century, especially in developing countries. Through analyses of government budgets and the budgeting process, and gender equality outcomes in Nigeria and the selected countries from 2000 to 2020, the contributors show that GRB has failed to gain traction or thrive in developing countries. Using these analyses, the contributors identify critical success factors that are missing in policy-making and planning in the developing world and must be integrated in order to further facilitate inclusive growth and sustainable development.

In this volume, contributors from academia, industry, and policy explore the inter-connections among economic development, socio-political democracy and defense and security in the context of a profound transformation, spurred by globalization and supported by the rapid development of information and communication technologies (ICT). This powerful combination of forces is changing the way we live and redefining the way companies conduct business and national governments pursue strategies of innovation, economic growth and diplomacy. Integrating theoretical frameworks, empirical research and case studies, the editors and contributors have organized the chapters into three major sections, focusing on cyber-development, cyber-democracy and cyber-defense. The authors define cyber-development as a set of tools, methodologies and practices that leverage ICT to catalyze and accelerate social, political and economic development, with an emphasis on making the transition to knowledge-based economies. One underlying understanding here is that knowledge, knowledge creation, knowledge production and knowledge application (innovation) behave as crucial drivers for enhancing democracy, society, and the economy. By promoting dissemination and sharing of knowledge, cyber-democracy allows a knowledge conversion of the local into the global (gloCal) and vice versa, resulting in a gloCal platform for communication and knowledge interaction and knowledge enhancement. Meanwhile, technology-enabled interconnectivity increases the need to adopt new methods and actions for protection against existing threats and possible challenges to emerge in the future. The final section contemplates themes of cyber-defense and security, as well as emerging theories and values, legal aspects and trans-continental links (NATO, international organizations and bilateral relations between states). Collectively, the authors present a unique collection of insights and perspectives on the challenges and opportunities inspired by connectivity.

Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education results from the Joint ICMI/IASE Study Teaching Statistics in School Mathematics: Challenges for Teaching and Teacher Education. Oriented to analyse the teaching of statistics in school and to recommend improvements in the training of mathematics teachers to encourage success in preparing statistically literate students, the volume provides a picture of the current situation in both the teaching of school statistics and the pre-service education of mathematics teachers. A primary goal of Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education is to describe the essential elements of statistics, teacher’s professional knowledge and their learning experiences. Moreover, a research agenda that invites new research, while building from current knowledge, is developed. Recommendations about strategies and materials, available to train prospective teachers in university and in-service teachers who have not been adequately prepared, are also accessible to the reader.

Theory and Practice of Triple Helix Model in Developing Countries contributes to the expanding literature on "triple helix" innovation - focusing on developing countries. The book is based on practical cases and experiences from Africa, Latin America and Asia. Relevant experiences and best practices from developed countries are also examined. The book is presented as a response to the growing awareness about the need for policy shift from the traditional technology transfer practice to a policy position that is capable of providing a sustainable basis for innovation and technological progress in developing countries. The book explores the triple helix system of innovation based on the dynamics of the interactive relationships between government, industry and universities in the creation, dissemination and sharing of knowledge in developing countries. A major point addressed by the book is the extent to which the ‘triple helix’ system of relationships between university, industry and government can enhance the effectiveness of universities in developing countries as agents of innovation, industrialization and sustainable development.