Warren E Walker
Biographic Data
| ID | 5774509 |
|---|---|
| NAME | Warren E Walker |
| GIVEN NAMES | Warren E |
| FAMILY NAME | Walker |
| SIGNATURE | WALKER W E |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0003-3599-0756 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 231 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 4 |
Decision making under deep uncertainty for pandemic policy planning
Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters, policymakers are confronted with what policy analysts call Decision Making under Deep Uncertainty (DMD…
Bridging Decision Making under Deep Uncertainty (DMDU) and Transition Management (TM) to improve strategic planning for sustainable development
An integrated framework for anticipating the future and dealing with uncertainty in policymaking
Policymakers need to make policies for an uncertain future, and policy analysts assist policymakers in choosing preferred courses of action. Despite a longstanding recognition that the futures field can contribute a great deal to policy analysis, futures work is not used to its full potential as an element of policy analysis. This is partly due to an absence of well-defined links between the fields and a common unambiguous typology. This paper pr…
Decision Making under Deep Uncertainty: From Theory to Practice
This open access book focuses on the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores the design of strategic plans under deep uncertainty, and their testing in the real world.
Improving the link between the futures field and policymaking
Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty
There is increasing interest in long-term plans that can adapt to changing situations under conditions of deep uncertainty. We argue that a sustainable plan should not only achieve economic, environmental, and social objectives, but should be robust and able to be adapted over time to (unforeseen) future conditions. Large numbers of papers dealing with robustness and adaptive plans have begun to appear, but the literature is fragmented. The paper…
Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world
A new paradigm for planning under conditions of deep uncertainty has emerged in the literature. According to this paradigm, a planner should create a strategic vision of the future, commit to short-term actions, and establish a framework to guide future actions. A plan that embodies these ideas allows for its dynamic adaptation over time to meet changing circumstances. We propose a method for decisionmaking under uncertain global and regional cha…
Operationalizing adaptive policymaking
Framing flexibility: Theorising and data mining to develop a useful definition of flexibility and related concepts
Addressing deep uncertainty using adaptive policies: Introduction to section 2
Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support
The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities such as policy analysis, integrated assessment and risk assessment. It focuses on the uncertainty perceived from the point of view of those providing information to support policy decisions (i.e., the modellers’ view on uncertainty) – uncertainty regarding the analytical outcomes and conclusions of the deci…
Adaptive policies, policy analysis, and policy-making
The effects of fiscal contraction on innovation in the public sector
Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world
A new paradigm for planning under conditions of deep uncertainty has emerged in the literature. According to this paradigm, a planner should create a strategic vision of the future, commit to short-term actions, and establish a framework to guide future actions. A plan that embodies these ideas allows for its dynamic adaptation over time to meet changing circumstances. We propose a method for decisionmaking under uncertain global and regional cha…
Improving the link between the futures field and policymaking
An integrated framework for anticipating the future and dealing with uncertainty in policymaking
Policymakers need to make policies for an uncertain future, and policy analysts assist policymakers in choosing preferred courses of action. Despite a longstanding recognition that the futures field can contribute a great deal to policy analysis, futures work is not used to its full potential as an element of policy analysis. This is partly due to an absence of well-defined links between the fields and a common unambiguous typology. This paper pr…
Bridging Decision Making under Deep Uncertainty (DMDU) and Transition Management (TM) to improve strategic planning for sustainable development
Framing flexibility: Theorising and data mining to develop a useful definition of flexibility and related concepts
Operationalizing adaptive policymaking
The effects of fiscal contraction on innovation in the public sector
The effects of fiscal contraction on innovation in the public sector
Adaptive policies, policy analysis, and policy-making
Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support
The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities such as policy analysis, integrated assessment and risk assessment. It focuses on the uncertainty perceived from the point of view of those providing information to support policy decisions (i.e., the modellers’ view on uncertainty) – uncertainty regarding the analytical outcomes and conclusions of the deci…
Addressing deep uncertainty using adaptive policies: Introduction to section 2
Framing flexibility: Theorising and data mining to develop a useful definition of flexibility and related concepts
Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty
There is increasing interest in long-term plans that can adapt to changing situations under conditions of deep uncertainty. We argue that a sustainable plan should not only achieve economic, environmental, and social objectives, but should be robust and able to be adapted over time to (unforeseen) future conditions. Large numbers of papers dealing with robustness and adaptive plans have begun to appear, but the literature is fragmented. The paper…
Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world
A new paradigm for planning under conditions of deep uncertainty has emerged in the literature. According to this paradigm, a planner should create a strategic vision of the future, commit to short-term actions, and establish a framework to guide future actions. A plan that embodies these ideas allows for its dynamic adaptation over time to meet changing circumstances. We propose a method for decisionmaking under uncertain global and regional cha…
Operationalizing adaptive policymaking
Improving the link between the futures field and policymaking
Decision Making under Deep Uncertainty: From Theory to Practice
This open access book focuses on the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores the design of strategic plans under deep uncertainty, and their testing in the real world.
Bridging Decision Making under Deep Uncertainty (DMDU) and Transition Management (TM) to improve strategic planning for sustainable development
An integrated framework for anticipating the future and dealing with uncertainty in policymaking
Policymakers need to make policies for an uncertain future, and policy analysts assist policymakers in choosing preferred courses of action. Despite a longstanding recognition that the futures field can contribute a great deal to policy analysis, futures work is not used to its full potential as an element of policy analysis. This is partly due to an absence of well-defined links between the fields and a common unambiguous typology. This paper pr…
Decision making under deep uncertainty for pandemic policy planning
Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters, policymakers are confronted with what policy analysts call Decision Making under Deep Uncertainty (DMD…
Complex Systems and Decision Making (10 works) · Computer Science (10 works) · Management science (9 works) · Business (7 works) · Economics (7 works) · Political science (6 works) · Sustainability and Climate Change Governance (6 works) · Engineering (5 works) · Process (computing (4 works) · Sociology (4 works)