This volume is the first attempt to fill that gap by bringing together a group of international scholars to assess the strengths and weaknesses of the Framework from different angles.

Theories of the Policy Process provides a forum for the experts in policy process research to present the basic propositions, empirical evidence, latest updates, and the promising future research opportunities of each policy process theory. In this thoroughly revised fifth edition, each chapter has been updated to reflect recent empirical work, innovative theorizing, and a world facing challenges of historic proportions with climate change, social and political inequities, and pandemics, among recent events. Updated and revised chapters include Punctuated Equilibrium Theory, Multiple Streams Framework, Policy Feedback Theory, Advocacy Coalition Framework, Narrative Policy Framework, Institutional and Analysis and Development Framework, and Diffusion and Innovation. This fifth edition includes an entirely new chapter on the Ecology of Games Framework. New authors have been added to most chapters to diversify perspectives and make this latest edition the most internationalized yet. Across the chapters, revisions have clarified concepts and theoretical arguments, expanded and extended the theories’ scope, summarized lessons learned and knowledge gained, and addressed the relevancy of policy process theories. Theories of the Policy Process has been, and remains, the quintessential gateway to the field of policy process research for students, scholars, and practitioners. It’s ideal for those enrolled in policy process courses at the undergraduate and graduate levels, and those conducting research or undertaking practice in the subject.

This book analyses the crucial role that guns play in the dynamics of extreme violence engulfing Latin America and the policies that are being implemented to confront it. Gun control is surprisingly not a prominent issue in most countries of the region, but this situation is rapidly changing as proliferation and violence dramatically increase. The book adopts an extended version of John Kingdon's influential Multiple Streams Framework to explore how gun control enters political agendas and why some countries act to end gun violence and others do not. In this effort, the Brazilian Disarmament Statute and the Uruguayan Responsible Firearm Ownership Law serve as in-depth case studies that exhibit the region’s heterogeneity and put Kingdon’s policy theory to the test. Gun Control Policies in Latin America is an essential reading for anyone interested in Latin American security and public policies.

Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

This volume focuses on the evolution of public policy and the role of agenda setting with regard to policymaking in countries of the Global South. The authors illustrate the emergence of public policy research as an academic discipline, and highlight various aspects of history, governance, politics, and economics as components of public policy theory development. By offering a cross-national perspective, the papers contribute to a better understanding of when, how, and by whom a given policy agenda is designed, which is essential to grasping how policy is implemented. In turn, the authors investigate how the development of public policy research has influenced policymaking in fields such as democratization, migration, corruption, agriculture, environment, education, and entrepreneurship and, more specifically, agenda setting in selected countries of the Global South.