Erik R. Larsen – författare

Energy is a sector where there has always been a serious modelling tradition, but with the worldwide trend away from planned economies to new market structures, the risk, uncertainties and competitive aspects which need to be incorporated pose new challenges to analyse strategic as well as economic behaviour. Systems Modelling for Energy Policy addresses the strong and apparently countervailing themes dominating energy policy in the current decade: concerns about global warming have stimulated an intense and methodologically diverse level of analytical activity aimed ultimately at greater international co-ordination in policy and planningsimultaneously we are witnessing a worldwide trend away from planned national energy policies to new market structuresTo accommodate these shifts in focus, more comprehensive analytical procedures are needed to address technical challenges in handling large models whilst smaller, policy-specific behavioural models may give greater insight to the strategic challenges involved in maintaining focus on key industry restructuring issues for which past data is not available. This volume provides a comprehensive and up-to-date reference to the range of issues and modelling alternatives that a systems perspective gives to the analysis of energy policy. Practitioners, analysts and researchers will find new studies and comparative modelling insights in this book which are not easily accessed elsewhere.

This book brings together research in humanitarian operations, behavioral operations and dynamic simulation. Part I outlines the main characteristics and strategic challenges of humanitarian organizations in preparedness, knowledge management, climate change and issues related to refugees and social inclusion. Part II gives an introduction to behavioral operations and experiments in single- and multi-agent settings, followed by discussions on quantal theory, framing effect and possible applications in the humanitarian sector. Part III introduces system dynamics and agent-based modeling and discusses how these techniques can be used to study dynamics and decision-making in humanitarian operations. This book is unique in providing a holistic view of the decision-making process and challenges in the humanitarian sector.