scholarly journals What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty

2021 ◽  
Author(s):  
Judith Lawrence ◽  
M Haasnoot
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Knowledge Broker ◽  
Simulation Game ◽  
Adaptive Planning ◽  
Climate Change Uncertainty ◽  
Adaptive Policy ◽  
Local Decision ◽  
Contextual Support ◽  
Static Planning

© 2016 The Authors Implementing climate-resilient pathways in conditions of uncertainty and change is a serious challenge. Approaches have been developed for this type of problem, one of which, Dynamic Adaptive Policy Pathways approach (DAPP), has been applied in practice in a limited number of circumstances, mainly for large infrastructure projects and at national scales. To better understand what it takes to catalyse uptake of DAPP to better address uncertainty and change than typical static planning approaches, we examined the role of a simulation game facilitated by a knowledge broker, in a real-life local decision setting on flood risk management in New Zealand. Four intervention phases over four years are described and their influence analysed: 1) creating interest through framing the science, 2) increasing awareness using the Game, 3) experimenting with DAPP, and 4) uptake of DAPP. We found that a knowledge broker introducing new framing of changing risk profiles, facilitating use of the Game and the DAPP approach in a real-life decision making setting, with contextual support from events and (inter)national reports, catalysed the uptake of adaptive pathways planning. We identified enabling requirements necessary for embedding adaptive planning into decision-making practice for addressing uncertainty and change.

scholarly journals What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty

2021 ◽  
Author(s):  
Judith Lawrence ◽  
M Haasnoot
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Knowledge Broker ◽  
Simulation Game ◽  
Adaptive Planning ◽  
Climate Change Uncertainty ◽  
Adaptive Policy ◽  
Local Decision ◽  
Contextual Support ◽  
Static Planning

© 2016 The Authors Implementing climate-resilient pathways in conditions of uncertainty and change is a serious challenge. Approaches have been developed for this type of problem, one of which, Dynamic Adaptive Policy Pathways approach (DAPP), has been applied in practice in a limited number of circumstances, mainly for large infrastructure projects and at national scales. To better understand what it takes to catalyse uptake of DAPP to better address uncertainty and change than typical static planning approaches, we examined the role of a simulation game facilitated by a knowledge broker, in a real-life local decision setting on flood risk management in New Zealand. Four intervention phases over four years are described and their influence analysed: 1) creating interest through framing the science, 2) increasing awareness using the Game, 3) experimenting with DAPP, and 4) uptake of DAPP. We found that a knowledge broker introducing new framing of changing risk profiles, facilitating use of the Game and the DAPP approach in a real-life decision making setting, with contextual support from events and (inter)national reports, catalysed the uptake of adaptive pathways planning. We identified enabling requirements necessary for embedding adaptive planning into decision-making practice for addressing uncertainty and change.

scholarly journals Homogeneous Groups of Actors in an AHP-Local Decision Making Context: A Bayesian Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 294 ◽  
Author(s):  
Alfredo Altuzarra ◽  
Pilar Gargallo ◽  
José María Moreno-Jiménez ◽  
Manuel Salvador
Keyword(s):  
Decision Making ◽  
Geometric Mean ◽  
Real Life ◽  
Decision Makers ◽  
Local Context ◽  
Homogeneous Groups ◽  
Decision Tools ◽  
Local Decision ◽  
Local Decision Making

The two procedures traditionally followed for group decision making with the Analytical Hierarchical Process (AHP) are the Aggregation of Individual Judgments (AIJ) and the Aggregation of Individual Priorities (AIP). In both cases, the geometric mean is used to synthesise judgments and individual priorities into a collective position. Unfortunately, positional measures (means) are only representative if dispersion is reduced. It is therefore necessary to develop decision tools that allow: (i) the identification of groups of actors that present homogeneous and differentiated behaviours; and, (ii) the aggregation of the priorities of the near groups to reach collective positions with the greatest possible consensus. Following a Bayesian approach to AHP in a local context (a single criterion), this work proposes a methodology to solve these problems when the number of actors is not high. The method is based on Bayesian comparison and selection of model tools which identify the number and composition of the groups as well as their priorities. This information can be very useful to identify agreement paths among the decision makers that can culminate in a more representative decision-making process. The proposal is illustrated by a real-life case study.

Managing and Imagining Migrant Communities

2019 ◽  
Vol 48 (2) ◽  
Author(s):  
Caitlin Blaser Mapitsa
Keyword(s):  
Decision Making ◽  
Development Planning ◽  
Adaptive Planning ◽  
Integrated Development ◽  
Municipal Governments ◽  
Migrant Communities ◽  
Local Decision ◽  
Planning Processes ◽  
Local Decision Making ◽  
Current Reality

Integrated development planning processes are key mechanisms for engaging communities in local decision making, and legitimising the work of municipal governments. However, civil servants have held a longstanding series of assumptions about populations being fixed, of migration as a phenomenon that should be controlled, and of communities that are defined by ethnolinguistic and associated geographical boundaries. These assumptions are far removed from the current reality in South Africa, but remain firmly ensconced in the imagination and practice of local political officials. They hinder inclusive participation and adaptive planning, and are generating social frictions that prevent re-imagining inclusive communities, and developing participatory IDPs.

The Veil of Bureaucracy: How Officials Evade Partisan Politics in Participatory Settings

2021 ◽  
pp. 232949652110288
Author(s):  
Meaghan Stiman
Keyword(s):  
Decision Making ◽  
Political Ideology ◽  
Partisan Politics ◽  
Community Voice ◽  
Political Debates ◽  
Local Decision ◽  
Decision Making Processes ◽  
The Veil ◽  
Local Decision Making ◽  
Do So

In theory, participatory democracies are thought to empower citizens in local decision-making processes. However, in practice, community voice is rarely representative, and even in cases of equal representation, citizens are often disempowered through bureaucratic processes. Drawing on the case of a firearm discharge debate from a rural county’s municipal meetings in Virginia, I extend research about how power operates in participatory settings. Partisan political ideology fueled the debate amongst constituents in expected ways, wherein citizens engaged collectivist and individualist frames to sway the county municipal board ( Celinska 2007 ). However, it was a third frame that ultimately explains the ordinance’s repeal: the bureaucratic frame, an ideological orientation to participatory processes that defers decision-making to disembodied abstract rules and procedures. This frame derives its power from its depoliticization potential, allowing bureaucrats to evade contentious political debates. Whoever is best able to wield this frame not only depoliticizes the debate to gain rationalized legitimacy but can do so in such a way to favor a partisan agenda. This study advances gun research and participatory democracy research by analyzing how the bureaucratic frame, which veils partisanship, offers an alternative political possibility for elected officials, community leaders, and citizens to adjudicate partisan debates.

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

Decision-making styles in a real-life decision: Choosing a college major

2006 ◽  
Vol 41 (4) ◽  
pp. 629-639 ◽  
Author(s):  
Kathleen M. Galotti ◽  
Elizabeth Ciner ◽  
Hope E. Altenbaumer ◽  
Heather J. Geerts ◽  
Allison Rupp ◽  
...  
Keyword(s):  
Decision Making ◽  
College Major ◽  
Real Life ◽  
Decision Making Styles ◽  
Life Decision

Allocating HIV prevention resources: A tool for state and local decision making

Health Policy ◽  
2008 ◽  
Vol 87 (3) ◽  
pp. 342-349 ◽  
Author(s):  
Anke Richter ◽  
Katherine A. Hicks ◽  
Stephanie R. Earnshaw ◽  
Amanda A. Honeycutt
Keyword(s):  
Decision Making ◽  
Hiv Prevention ◽  
Local Decision ◽  
State And Local ◽  
Local Decision Making

Moral Decision Making in Business: A Phase-Model

2000 ◽  
Vol 10 (4) ◽  
pp. 773-803 ◽  
Author(s):  
Aviva Geva
Keyword(s):  
Decision Making ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Ethical Problem ◽  
Real Life ◽  
Phase Model ◽  
Second Phase ◽  
Illustrative Case ◽  
Moral Decision ◽  
Ethical Problems

Abstract:The traditional model of ethical decision making in business suggests applying an initial set of principles to a concrete problem and if they conflict the decision maker may attempt to balance them intuitively. The centrality of the ethical conflict in the accepted notion of “ethical problem” has diverted the attention of moral decision modelers from other ethical problems that real-world managers must face—e.g., compliance problems, moral laxity, and systemic problems resulting from the structures and practices of the business organization. The present article proposes a new model for ethical decision making in business—the Phase-model—designed to meet the full spectrum of business-related ethical problems. Drawing on the dominant moral theories in business literature, the model offers additional strategies for tackling ethical issues beyond the traditional cognitive operations of deductive application of principles to specific cases and the balancing of ethical considerations. Its response to the problems of moral pluralism in the context of decision making lies in its structural features. The model distinguishes between three phases of the decision-making process, each having a different task and a different theoretical basis. After an introductory stage in which the ethical problem is defined, the first phase focuses on a principle-based evaluation of a course of action; the second phase provides a virtue-based perspective of the situation and strategies for handling unsettled conflicts and compliance problems; and the third phase adapts the decision to empirical accepted norms. An illustrative case demonstrates the applicability of the model to business real life.

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