Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2020-09 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery. As part of a special ADB knowledge initiative, computer vision techniques and machine-learning algorithms were applied on datasets from the Philippines and Thailand to demonstrate increased granularity of poverty estimation using artificial intelligence. The report identifies practical considerations and technical requirements for this novel approach to mapping the spatial distribution of poverty. It also outlines the investments required by national statistics offices to fully capitalize on the benefits of incorporating innovative data sources into conventional work programs.
Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by and published by . This book was released on 2020 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery.
Download or read book A Guidebook on Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2021-05-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guidebook identifies tools and resources that can help generate poverty statistics using satellite imagery, geospatial data, and machine-learning algorithms to augment conventional data collection and sample survey techniques. The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country's population. The guidebook was based on a feasibility study by ADB, in collaboration with the Philippine Statistics Authority, the National Statistical Office of Thailand, and the World Data Lab, that aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics. It also serves as an accompanying guide to the Key Indicators for Asia and the Pacific 2020 special supplement focusing on mapping poverty estimates.
Download or read book Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-04-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.
Download or read book Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-03-01 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank, in collaboration with the Philippine Statistics Authority and the World Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines. This report documents the results of the study, which capitalized on satellite imagery, geospatial data, and powerful machine learning algorithms to augment conventional data collection and sample survey techniques.
Download or read book Practical Guidebook on Data Disaggregation for the Sustainable Development Goals written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-05-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "leave no one behind" principle espoused by the 2030 Agenda for Sustainable Development requires measures of progress for different segments of the population. This entails detailed disaggregated data to identify subgroups that might be falling behind, to ensure progress toward achieving the Sustainable Development Goals (SDGs). The Asian Development Bank and the Statistics Division of the United Nations Department of Economic and Social Affairs developed this practical guidebook with tools to collect, compile, analyze, and disseminate disaggregated data. It also provides materials on issues and experiences of countries regarding data disaggregation for the SDGs. This guidebook is for statisticians and analysts from planning and sector ministries involved in the production, analysis, and communication of disaggregated data.
Download or read book Mathematics for Action written by UNESCO and published by UNESCO Publishing. This book was released on 2022-03-11 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysis of Poverty Data by Small Area Estimation written by Monica Pratesi and published by John Wiley & Sons. This book was released on 2016-02-23 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Download or read book Rural poverty analysis written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2021-10-26 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reducing rural poverty is a key objective of FAO. To achieve this goal, the Organization must reach the poor and the extremely poor in rural areas, analysing their needs and aspirations and providing effective guidance for the design of policies and investments that foster inclusive and sustainable development. This guide was developed to strengthen the Organization’s work on rural poverty reduction and inclusivity over the coming years. It provides key information to measure poverty, characterize rural populations, and identify their constraints to target them more accurately. The guide includes five chapters. Chapter 1 explains the structure, content, and use of the guide, as well as its intended users and objectives. Chapter 2 discusses how poverty is measured, focusing on the different indicators that can be used, depending on the context, specific circumstances, data availability and policy objectives. Chapter 3 provides guidance on how to build a poverty profile and produce poverty maps to understand who the poor are and where they are located. Chapter 4 focuses on the targeting process, on various targeting techniques and on how to choose one over another to ensure that programmes and projects effectively combat poverty, particularly in rural areas. Finally, Chapter 5 sets the next steps for the development of further analytical guides. The various chapters provide an overview of both widely used and emerging techniques in poverty analysis, focusing on quantitative methods, and giving constant attention to FAO’s areas of work and the challenges posed by operating in rural areas.
Download or read book Key Indicators for Asia and the Pacific 2020 written by Asian Development Bank and published by . This book was released on 2020-09-10 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication provides updated statistics on a comprehensive set of economic, financial, social, and environmental measures as well as select indicators for the Sustainable Development Goals. The report covers the 49 regional members of ADB. It discusses trends in development progress and the challenges to inclusive and sustainable development that are likely to be amplified by the effects of the coronavirus disease (COVID-19) pandemic. To put into practice the "leave no one behind" principle of the SDGs, the availability of more detailed and informative data is crucial. The report is accompanied by a special supplement, Mapping Poverty through Data Integration and Artificial Intelligence. This explores how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery to provide more detailed guidance for policy makers.
Download or read book Contestations in Global Civil Society written by Roopinder Oberoi and published by Emerald Group Publishing. This book was released on 2022-05-30 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contestations in Global Civil Society examines the ways in which the global community is dealing with heightened destabilization and takes a close look at shifts accompanying the resurrection of civil society discourses such as political mobilization, polarization, responsibility, and participation.
Download or read book Key Indicators for Asia and the Pacific 2022 written by Asian Development Bank and published by Asian Development Bank. This book was released on 2022-08-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The publication covers the 49 regional members of ADB. It discusses trends in development progress and the challenges to achieving inclusive and sustainable economic growth across Asia and the Pacific. This 53rd edition finds that the COVID-19 pandemic has set back the fight against poverty in the region by at least 2 years. Drawing on data simulations, it concludes that people with less social mobility may experience longer-lasting difficulties in escaping poverty. Key Indicators for Asia and the Pacific 2022 includes a special chapter on how data resilience can be achieved in the wake of pandemic disruptions to the operations of national statistical systems. The publication is complemented by a special supplement, Mapping the Public Voice for Development: Natural Language Processing of Social Media Text Data, which explores how social media text data can be harnessed to help policymakers understand the opinions, ideas, and expectations of the public.
Download or read book Poverty Mapping in the Age of Machine Learning written by Corral and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Choosing a Method for Poverty Mapping written by Benjamin Davis and published by Food & Agriculture Org.. This book was released on 2003 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents and compares a large selection of poverty and food-security mapping methodologies in use. The choice of a poverty-mapping methodology depends on a number of logical and legitimate considerations, such as the objectives of the poverty mapping exercise, philosophical views on poverty, limits on data and analytical capacity, and cost.
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Download or read book Poverty Mapping written by Virginia Ziuli and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption, income, or assets. However, recent advances in computing power and the emergence of new methods has made it increasingly feasible to produce reliable, cost-effective, and timely poverty maps by extracting features from novel data sources such as satellite imagery, call detail records, and internet connectivity indicators. This paper explores the methodological implications of using both traditional and novel data sources to generate poverty maps. Specifically, it examines the applications of (i) survey and census data; (ii) Global System for Mobile Communications, smartphone, and Wi-Fi indicators; (iii) call detail records; (iv) daytime and nighttime remote sensing imagery; and (v) the Survey of Well-being via Instant and Frequent Tracking for poverty mapping. Each section provides a brief overview of the data requirements, methodology, and applicability considerations of the data source under consideration. In addition, the paper discusses the usefulness and limitations of each approach in the field of evaluation, providing concrete examples of poverty maps created from each of the listed data sources.
Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
