Download or read book Overcoming Data Sparsity A Machine Learning Approach to Track the Real Time Impact of COVID 19 in Sub Saharan Africa written by Karim Barhoumi and published by International Monetary Fund. This book was released on 2022-05-06 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.

Download or read book Regional Economic Outlook Sub Saharan Africa October 2023 written by International Monetary and published by International Monetary Fund. This book was released on 2023-10-10 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Still emerging from the COVID-19 pandemic, countries in sub-Saharan Africa have been hit by a sluggish global economy, worldwide inflation, high borrowing costs, and a cost-of-living crisis. In many cases, inflation is still too high, borrowing costs are still elevated, exchange-rate pressures persist, and political instability is an ongoing concern. To ensure that the coming rebound is more than just a transitory glimpse of sunshine, it is important for authorities to guard against a premature relaxation of stabilization policies, while also focusing on reforms to both claw back lost ground from the four-year crisis and also to create new space to address the region’s pressing development needs.

Download or read book Panel Nowcasting for Countries Whose Quarterly GDPs are Unavailable written by Omer Faruk Akbal and published by International Monetary Fund. This book was released on 2023-08-04 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availablity, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.

Download or read book Impact of COVID 19 Nowcasting and Big Data to Track Economic Activity in Sub Saharan Africa written by Brandon Buell and published by International Monetary Fund. This book was released on 2021-05 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.

Download or read book Practical Macroeconomics for Non Economists written by Michael P. Niemira and published by Taylor & Francis. This book was released on 2023-07-10 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Macroeconomics for Non-Economists provides the tools, the theory, and the empirical understanding of macroeconomics without the heavy lifting of the mathematical and econometric models. This accessible book introduces the building blocks of macroeconomic thinking and challenges the reader to apply these insights to learn why economists say what they do and what guides economic policymakers. Linking actual data to theoretical concepts, it explores competing economic theories, and uncovers some of the key controversies in macroeconomic theory and how different perspectives lead to alternative and vastly different policy recommendations. Key features include: • Coverage of all the key macroeconomic topics, such as GDP, inflation, unemployment, output and productivity, business cycles, aggregate demand/supply, and fiscal and monetary policy. • Question-and-answer format, covering the foundations of each topic in a logical progression, to provide the reader with a quick reference and more focused discussion. • "Advanced questions" to encourage deeper discussion. • Start-of-chapter learning objectives, which allow the reader to "see" the road ahead for each section. • End-of-chapter "Issues to think about" boxed features, which offer the reader an opportunity to apply critical thinking to the issues covered. • Resource manual and PowerPoints for instructors. Practical Macroeconomics for Non-Economists is the ideal textbook for anyone looking for a practical and non-technical introduction to the subject.

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Download or read book Computational Modeling and Data Analysis in COVID 19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Download or read book Intelligent Data Analysis for COVID 19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Download or read book Global Innovation Index 2020 written by Cornell University and published by WIPO. This book was released on 2020-08-13 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Global Innovation Index 2020 provides detailed metrics about the innovation performance of 131 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The 2020 edition sheds light on the state of innovation financing by investigating the evolution of financing mechanisms for entrepreneurs and other innovators, and by pointing to progress and remaining challenges – including in the context of the economic slowdown induced by the coronavirus disease (COVID-19) crisis.

Download or read book COVID 19 and Education written by Christopher Cheong and published by Informing Science. This book was released on 2021-05-28 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics include work-integrated learning (internships), student well-being, and students with disabilities. Also,it explores the impact on assessments and academic integrity and what analysis of online systems tells us. Preface ................................................................................................................................ ix Section I: Introduction .................................................. 1 Chapter 1: COVID-19 Emergency Education Policy and Learning Loss: A Comparative Study ............................................................................................................ 3 Athena Vongalis-Macrow, Denise De Souza, Clare Littleton, Anna Sekhar Section II: Student and Teacher Perspectives .............. 27 Chapter 2: Classrooms Going Digital – Evaluating Online Presence Through Students’ Perception Using Community of Inquiry Framework .............................. 29 Hiep Cong Pham, Phuong Ai Hoang, Duy Khanh Pham, Nguyen Hoang Thuan, Minh Nhat Nguyen Chapter 3: A Study of Music Education, Singing, and Social Distancing during the COVID-19 Pandemic: Perspectives of Music Teachers and Their Students in Hong Kong, China .......................................................................................................... 51 Wai-Chung Ho Hong Kong Baptist University Chapter 4: The Architectural Design Studio During a Pandemic: A Hybrid Pedagogy of Virtual and Experiential Learning .......................................................... 75 Cecilia De Marinis, Ross T. Smith Chapter 5: Enhancing Online Education with Intelligent Discussion Tools ........ 97 Jake Renzella, Laura Tubino, Andrew Cain, Jean-Guy Schneider Section III: Student Experience ................................... 115 Chapter 6: Australian Higher Education Student Perspectives on Emergency Remote Teaching During the COVID-19 Pandemic ............................................... 117 Christopher Cheong, Justin Filippou, France Cheong, Gillian Vesty, Viktor Arity Chapter 7: Online Learning and Engagement with the Business Practices During Pandemic ......................................................................................................................... 151 Aida Ghalebeigi, Ehsan Gharaie Chapter 8: Effects of an Emergency Transition to Online Learning in Higher Education in Mexico ..................................................................................................... 165 Deon Victoria Heffington, Vladimir Veniamin Cabañas Victoria Chapter 9: Factors Affecting the Quality of E-Learning During the COVID-19 Pandemic From the Perspective of Higher Education Students ............................ 189 Kesavan Vadakalur Elumalai, Jayendira P Sankar, Kalaichelvi R, Jeena Ann John, Nidhi Menon, Mufleh Salem M Alqahtani, May Abdulaziz Abumelha Disabilities ................................................................. 213 Chapter 10: Learning and Working Online During the COVID-19 Pandemic: A Wellbeing Literacy Perspective on Work Integrated Learning Students ............... 215 Nancy An, Gillian Vesty, Christopher Cheong Chapter 11: Hands-on Learning in a Hands-off World: Project-Based Learning as a Method of Student Engagement and Support During the COVID-19 Crisis .. 245 Nicole A. Suarez, Ephemeral Roshdy, Dana V. Bakke, Andrea A. Chiba, Leanne Chukoskie Chapter 12: Positive and Contemplative Pedagogies: A Holistic Educational Approach to Student Learning and Well-being ........................................................ 265 Sandy Fitzgerald (née Ng) Chapter 13: Taking Advantage of New Opportunities Afforded by the COVID-19 Pandemic: A Case Study in Responsive and Dynamic Library and Information Science Work Integrated Learning .............................................................................. 297 Jessie Lymn, Suzanne Pasanai Chapter 14: Online Learning for Students with Disabilities During COVID-19 Lockdown ....................................................................................................................... 313 Mark Taylor Section V: Teacher Practice .......................................... 331 Chapter 15: From Impossibility to Necessity: Reflections on Moving to Emergency Remote University Teaching During COVID-19 ............................... 333 Mikko Rajanen Chapter 16: Business (Teaching) as Usual Amid the COVID-19 Pandemic: A Case Study of Online Teaching Practice in Hong Kong ......................................... 355 Tsz Kit Ng, Rebecca Reynolds, Man Yi (Helen) Chan, Xiu Han Li, Samuel Kai Wah Chu Chapter 17: Secondary School Language Teachers’ Online Learning Engagement during the COVID-19 Pandemic in Indonesia ......................................................... 385 Imelda Gozali, Anita Lie, Siti Mina Tamah, Katarina Retno Triwidayati, Tresiana Sari Diah Utami, Fransiskus Jemadi Chapter 18: Riding the COVID-19 Wave: Online Learning Activities for a Field-based Marine Science Unit ........................................................................................... 415 PF Francis Section VI: Assessment and Academic Integrity .......... 429 Chapter 19: Student Academic Integrity in Online Learning in Higher Education in the Era of COVID-19 .............................................................................................. 431 Carolyn Augusta, Robert D. E. Henderson Chapter 20: Assessing Mathematics During COVID-19 Times ............................ 447 Simon James, Kerri Morgan, Guillermo Pineda-Villavicencio, Laura Tubino Chapter 21: Preparedness of Institutions of Higher Education for Assessment in Virtual Learning Environments During the COVID-19 Lockdown: Evidence of Bona Fide Challenges and Pragmatic Solutions ........................................................ 465 Talha Sharadgah, Rami Sa’di Section VII: Social Media, Analytics, and Systems ...... 487 Chapter 22: Learning Disrupted: A Comparison of Two Consecutive Student Cohorts ............................................................................................................................ 489 Peter Vitartas, Peter Matheis Chapter 23: What Twitter Tells Us about Online Education During the COVID-19 Pandemic ................................................................................................................... 503 Sa Liu, Jason R Harron

Download or read book Machine Learning for Predictive Analysis written by Amit Joshi and published by Springer Nature. This book was released on 2020-10-22 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.

Download or read book Artificial Intelligence for COVID 19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Download or read book Health Econometrics written by Badi H. Baltagi and published by Emerald Group Publishing. This book was released on 2018-05-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers a wide range of existing and emerging topics in applied health economics, including behavioural economics, medical care risk, social insurance, discrete choice models, cost-effectiveness analysis, health and immigration, and more.

Download or read book Paradigms of Artificial Intelligence Programming written by Peter Norvig and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

Download or read book Why Forests Why Now written by Frances Seymour and published by Brookings Institution Press. This book was released on 2016-12-27 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tropical forests are an undervalued asset in meeting the greatest global challenges of our time—averting climate change and promoting development. Despite their importance, tropical forests and their ecosystems are being destroyed at a high and even increasing rate in most forest-rich countries. The good news is that the science, economics, and politics are aligned to support a major international effort over the next five years to reverse tropical deforestation. Why Forests? Why Now? synthesizes the latest evidence on the importance of tropical forests in a way that is accessible to anyone interested in climate change and development and to readers already familiar with the problem of deforestation. It makes the case to decisionmakers in rich countries that rewarding developing countries for protecting their forests is urgent, affordable, and achievable.

Download or read book Arctic Hydrology Permafrost and Ecosystems written by Daqing Yang and published by Springer Nature. This book was released on 2020-08-28 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive, up-to-date assessment of the key terrestrial components of the Arctic system, i.e., its hydrology, permafrost, and ecology, drawing on the latest research results from across the circumpolar regions. The Arctic is an integrated system, the elements of which are closely linked by the atmosphere, ocean, and land. Using an integrated system approach, the book’s 30 chapters, written by a diverse team of leading scholars, carefully examine Arctic climate variability/change, large river hydrology, lakes and wetlands, snow cover and ice processes, permafrost characteristics, vegetation/landscape changes, and the future trajectory of Arctic system evolution. The discussions cover the fundamental features of and processes in the Arctic system, with a special focus on critical knowledge gaps, i.e., the interactions and feedbacks between water, permafrost, and ecosystem, such as snow pack and permafrost changes and their impacts on basin hydrology and ecology, river flow, geochemistry, and energy fluxes to the Arctic Ocean, and the structure and function of the Arctic ecosystem in response to past/future changes in climate, hydrology, and permafrost conditions. Given its scope, the book offers a valuable resource for researchers, graduate students, environmentalists, managers, and administrators who are concerned with the northern environment and resources.