Resources Repository
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ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Operations Research | Decision Theory | Military/Defense | Business/Industry | Preferences/Values | Decision Analysis | Economics/Finance | Health/Medicine | North America -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Dynamic Simulation | Microsimulation | Military/Defense | Science/Technology | Mathematical Models | State-Transition | Energy/Engineering | Health/Medicine -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Decision Theory | Military/Defense | Business/Industry | Science/Technology | Preferences/Values | Decision Analysis | Policy/Regulation | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | Microsimulation | Business/Industry | Mathematical Models | State-Transition | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Government/Law | Health/Medicine | North America -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
Dynamic Simulation | Microsimulation | Military/Defense | Mathematical Models | State-Transition | Dynamic Transmission | Infectious Diseases | Global Governance | Government/Law | Health/Medicine | Global -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
Dynamic Simulation | Microsimulation | Science/Technology | Mathematical Models | State-Transition | Dynamic Transmission | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine | Global -
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Operations Research | Decision Theory | Business/Industry | Probability/Bayes | Preferences/Values | Decision Analysis | Economics/Finance | Energy/Engineering | Health/Medicine -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Decision Theory | Science/Technology | Priority Setting/Ethics | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Global -
ArticlePublication 2019Cost-Effectiveness of U.S. National SSB Tax with a Multistakeholder Approach: Who Pays and Who Benefits
This analysis estimated the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) …
This analysis estimated the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) tax, overall and with stratified costs and benefits for nine distinct stakeholder groups. A microsimulation model (CVD PREDICT) was used to estimate cardiovascular disease reductions, quality-adjusted life years gained, and cost-effectiveness for U.S. adults aged 35 to 85 years, evaluating full and partial consumer price pass-through. Results showed that from both a health care and societal perspective, the SSB tax was…
Microsimulation | Business/Industry | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America