As a result of a contract awarded by the Construction Engineering Research Laboratory, U.S. Army Corps of Engineers, and the Environmental Pro tection Agency, a workshop on the methodology of economic impact analy sis was held at Hueston Woods State Park Lodge in Oxford, Ohio, April 13-15, 1977. Leading researchers in regional modeling were gathered to take stock of current developments in the field and to put forth new ideas and directions for research. Also attending the workshops were individuals from various governmental agencies that use regional models and economic impact statements. Preliminary versions of the papers appearing in this vol ume served as focal points for discussions that have hopefully continued, stimulating further thinking of the problems addressed. The objectives of the conference were not only to explore recent develop ments in methodology but also to expose users of economic impact analyses to a wide variety of models and applications and to acquaint academicians with the needs of users. The papers appearing in this volume represent only a portion of the output of this workshop.

The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.

The essays in this open access volume identify the key ingredients for success in capitalizing on public investments in scientific projects and the development of large-scale research infrastructures. Investment in science – whether in education and training or through public funding for developing new research tools and technologies – is a crucial priority. Authors from big research laboratories/organizations, funding agencies and academia discuss how investing in science can produce societal benefits as well as identifying future challenges for scientists and policy makers. The volume cites different ways to assess the socio-economic impact of Research Infrastructures and their role as hubs of global collaboration, creativity and innovation. It highlights the different benefits stemming from fundamental research at the local, national and global level, while also inviting us to rethink the notion of “benefit” in the 21st century. Public investment is required to maintain the pace of technological and scientific advancements over the next decades. Far from advocating a radical transformation and massive expansion in funding, the authors suggest ways for maintaining a strong foundation of science and research to ensure that we continue to benefit from the outputs. The volume draws inspiration from the first “Economics of Big Science” workshop, held in Brussels in 2019 with the aim of creating a new space for dialogue and interaction between representatives of Big Science organizations, policy makers and academia. It aspires to provide useful reading for policy makers, scientists and students of science, who are increasingly called upon to explain the value of fundamental research and adopt the language and logic of economics when engaging in policy discussions.

The assessment of local, regional or national impacts of an influx of tourists – of different kind and origin – has in recent years become a new challenge for economics research in the tourism sector. There is a clear need to develop solid methodologies through which the socio-economic impacts of tourism can be assessed. Tourism impact assessment – as a systematic approach to the estimation of socio-economic effects of tourism on relevant parts of the economy – has become a timely response to the need for appropriate information for stakeholders, both public and private. The present volume brings together a set of recent impact studies – of both a theoretical-methodological and an applied policy-oriented nature – , which have been selected on the basis of their originality or novel contribution to the research in this field.

This note provides an overview of good practice standards in Social Impact Assessment (SIA). It has been prepared by the Inter-American Development Bank (IDB), to provide guidance to practitioners and decision-makers. By applying the approach presented in this note, it is expected that the quality, consistency, and operational relevance of SIAs will improve. SIA facilitates the systematic integration of social issues in the planning and implementation of projects. It improves the quality and sustainability of projects, supports and strengthens national requirements, and enhances project acceptance and local ownership. The SIA helps to identify and manage potential adverse social impacts a project may cause or contribute to, and to maximize benefits to local communities and other groups.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Health inequalities blight lives, generate enormous costs, and exist everywhere. This book is the definitive all-in-one guide for anyone who wishes to learn about, commission, and use distributional cost-effectiveness analysis to promote both equity and efficiency in health and healthcare.