This book explores the role and importance of interdisciplinary research in addressing key issues in climate and energy decision making. For over 30 years, an interdisciplinary team of faculty and students anchored at Carnegie Mellon University, joined by investigators and students from a number of other collaborating institutions across North America, Europe, and Australia, have worked together to better understand the global changes that are being caused by both human activities and natural causes. This book tells the story of their successful interdisciplinary work. With each chapter written in the first person, the authors have three key objectives: (1) to document and provide an accessible account of how they have framed and addressed a range of the key problems that are posed by the human dimensions of global change; (2) to illustrate how investigators and graduate students have worked together productively across different disciplines and locations on common problems; and (3) to encourage funders and scholars across the world to undertake similar large- scale interdisciplinary research activities to meet the world's largest challenges. Exploring topics such as energy efficiency, public health, and climate adaptation, and with a final chapter dedicated to lessons learned, this innovative volume will be of great interest to students and scholars of climate change, energy transitions and environmental studies more broadly.

This book explores the role and importance of interdisciplinary research in addressing key issues in climate and energy decision making. For over 30 years, an interdisciplinary team of faculty and students anchored at Carnegie Mellon University, joined by investigators and students from a number of other collaborating institutions across North America, Europe, and Australia, have worked together to better understand the global changes that are being caused by both human activities and natural causes. This book tells the story of their successful interdisciplinary work. With each chapter written in the first person, the authors have three key objectives: (1) to document and provide an accessible account of how they have framed and addressed a range of the key problems that are posed by the human dimensions of global change; (2) to illustrate how investigators and graduate students have worked together productively across different disciplines and locations on common problems; and (3) to encourage funders and scholars across the world to undertake similar large- scale interdisciplinary research activities to meet the world's largest challenges. Exploring topics such as energy efficiency, public health, and climate adaptation, and with a final chapter dedicated to lessons learned, this innovative volume will be of great interest to students and scholars of climate change, energy transitions and environmental studies more broadly.

Many books instruct readers on how to use the tools of policy analysis. This book is different. Its primary focus is on helping readers to look critically at the strengths, limitations, and the underlying assumptions analysts make when they use standard tools or problem framings. Using examples, many of which involve issues in science and technology, the book exposes readers to some of the critical issues of taste, professional responsibility, ethics, and values that are associated with policy analysis and research. Topics covered include policy problems formulated in terms of utility maximization such as benefit-cost, decision, and multi-attribute analysis, issues in the valuation of intangibles, uncertainty in policy analysis, selected topics in risk analysis and communication, limitations and alternatives to the paradigm of utility maximization, issues in behavioral decision theory, issues related to organizations and multiple agents, and selected topics in policy advice and policy analysis for government.

This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.

Many books instruct readers on how to use the tools of policy analysis. This book is different. Its primary focus is on helping readers to look critically at the strengths, limitations, and the underlying assumptions analysts make when they use standard tools or problem framings. Using examples, many of which involve issues in science and technology, the book exposes readers to some of the critical issues of taste, professional responsibility, ethics, and values that are associated with policy analysis and research. Topics covered include policy problems formulated in terms of utility maximization such as benefit-cost, decision, and multi-attribute analysis, issues in the valuation of intangibles, uncertainty in policy analysis, selected topics in risk analysis and communication, limitations and alternatives to the paradigm of utility maximization, issues in behavioral decision theory, issues related to organizations and multiple agents, and selected topics in policy advice and policy analysis for government.

This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.