scholarly journals Mapping Micro-Level Decision-Making for Alligator Management in North Carolina

2021 ◽  
Vol 2 ◽  
Author(s):  
Rebecca Cavalier ◽  
Christopher Serenari ◽  
Dinçer Konur
Keyword(s):  
Decision Making ◽  
North Carolina ◽  
Decision Analysis ◽  
Decision Makers ◽  
Alligator Mississippiensis ◽  
Human Populations ◽  
American Alligator ◽  
Management Decisions ◽  
Local Decision ◽  
Local Decision Makers

Human-carnivore interactions represent a grand challenge to conservation decision-making and legitimacy across all levels of governance. Human populations continue to encroach upon and devastate carnivore habitats and populations, intensifying interactions between a variety of biodiversity interests and beneficiaries. As a result, carnivores most intensely impact those living in their midst, demanding increased attention by local decision makers, who are often best suited to catering to the needs of communities most affected. Their views and desires can serve as a forerunner of public trust and acceptance of policies created. However, due to the complexity of decisions about carnivores, these actors are often overlooked in the formal decision process. To address this need, we applied multi-criteria decision analysis (MCDA) to a case study of American alligator (Alligator mississippiensis) conservation in 10 coastal North Carolina counties to identify and postulate legitimate outcomes. We surveyed 25 local decision makers who are or may be responsible for management decisions concerning the American alligator and asked them to evaluate and indicate the level of importance of salient alligator management elements. Results indicate that decision makers strongly favored the wildlife and social factors when making alligator management decisions, as well as the criteria human well-being, attitudes toward alligators, education programs, and storm mitigation. Respondents favored highly managed and balanced management alternatives to maximize preferred criteria and achieve legitimate alligator management at the local level. These results demonstrate that local decision makers are capable of identifying what is important to alligator management decisions, and can provide an insightful look at trade-offs that need to or could be made to achieve optimal alligator outcomes. We conclude that local decision makers should become more involved in shaping carnivore outcomes to enhance legitimacy of alligator policy and help achieve conservation targets. Future research will need to further expand understandings of local decision makers' decision-making process in other carnivore contexts. Researchers will want to consider using and refining decision analysis to cut through the complexity of carnivore conservation decision-making that exists across wide geopolitical expanses.

One study, four cities: information impact in neighborhood economic development

2020 ◽  
Vol 14 (4) ◽  
pp. 663-680 ◽  
Author(s):  
Jeffrey Carroll
Keyword(s):  
Decision Making ◽  
Economic Development ◽  
Local Government ◽  
Decision Makers ◽  
Government Officials ◽  
Content Type ◽  
Local Decision ◽  
Types Of Information ◽  
Local Decision Makers ◽  
Sophisticated Analysis

Purpose The purpose of this study is to create a theory on how a commissioned study impacts the decision-making of local government officials. Design/methodology/approach This study uses comparative case studies via the “Knowledge Cycle,” which is a method of examining information use for four distinct decision-making environments’ development (Baltimore, Maryland; Louisville, Kentucky; Detroit, Michigan; and Tampa, Florida). Findings This study reports significance in three factors that may explain information impact: the presence of an “information champion” who directs the application of the study toward initiatives that are important to them, the length of time that one can use information before it becomes outdated and the ability to use the study to spur dialogue with development stakeholders outside of local government. Research limitations/implications The limitation to this study is that it is limited to the observation of a specific population (local government economic development bureaucrats) and their use of a specific package of information. The debate is open to whether the findings of this study are relevant to actors using other types of information within other levels of government and within other fields of inquiry. Practical implications Advances in information technology and the proliferation of data intermediaries who can use sophisticated analysis warrant the understanding how government officials interact with the studies that they commission. Originality/value To date, there are few studies that have examined how a singular package of information is used in multiple decision-making environments. This paper adds to this dearth of scholarship while creating theory to how and why local decision-makers may use information.

scholarly journals Learning Active Fusion of Multiple Experts' Decisions: An Attention-Based Approach

2011 ◽  
Vol 23 (2) ◽  
pp. 558-591 ◽  
Author(s):  
Maryam S. Mirian ◽  
Majid Nili Ahmadabadi ◽  
Babak N. Araabi ◽  
Roland R. Siegwart
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Learning System ◽  
Decision Makers ◽  
Borda Count ◽  
Final Decision ◽  
Special Cases ◽  
Local Decision ◽  
Multiple Experts ◽  
Local Decision Makers

In this letter, we propose a learning system, active decision fusion learning (ADFL), for active fusion of decisions. Each decision maker, referred to as a local decision maker, provides its suggestion in the form of a probability distribution over all possible decisions. The goal of the system is to learn the active sequential selection of the local decision makers in order to consult with and thus learn the final decision based on the consultations. These two learning tasks are formulated as learning a single sequential decision-making problem in the form of a Markov decision process (MDP), and a continuous reinforcement learning method is employed to solve it. The states of this MDP are decisions of the attended local decision makers, and the actions are either attending to a local decision maker or declaring final decisions. The learning system is punished for each consultation and wrong final decision and rewarded for correct final decisions. This results in minimizing the consultation and decision-making costs through learning a sequential consultation policy where the most informative local decision makers are consulted and the least informative, misleading, and redundant ones are left unattended. An important property of this policy is that it acts locally. This means that the system handles any nonuniformity in the local decision maker's expertise over the state space. This property has been exploited in the design of local experts. ADFL is tested on a set of classification tasks, where it outperforms two well-known classification methods, Adaboost and bagging, as well as three benchmark fusion algorithms: OWA, Borda count, and majority voting. In addition, the effect of local experts design strategy on the performance of ADFL is studied, and some guidelines for the design of local experts are provided. Moreover, evaluating ADFL in some special cases proves that it is able to derive the maximum benefit from the informative local decision makers and to minimize attending to redundant ones.

scholarly journals An Innovative Grey Approach for Group Multi-Criteria Decision Analysis Based on the Median of Ratings by Using Python

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 124
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Likert Scale ◽  
Decision Makers ◽  
Interval Numbers ◽  
Multi Criteria Decision Analysis

Some decision-making problems, i.e., multi-criteria decision analysis (MCDA) problems, require taking into account the attitudes of a large number of decision-makers and/or respondents. Therefore, an approach to the transformation of crisp ratings, collected from respondents, in grey interval numbers form based on the median of collected scores, i.e., ratings, is considered in this article. In this way, the simplicity of collecting respondents’ attitudes using crisp values, i.e., by applying some form of Likert scale, is combined with the advantages that can be achieved by using grey interval numbers. In this way, a grey extension of MCDA methods is obtained. The application of the proposed approach was considered in the example of evaluating the websites of tourism organizations by using several MCDA methods. Additionally, an analysis of the application of the proposed approach in the case of a large number of respondents, done in Python, is presented. The advantages of the proposed method, as well as its possible limitations, are summarized.

scholarly journals International and regional variation in the prevalence of common mental disorders: do we need more surveys?

2004 ◽  
Vol 184 (4) ◽  
pp. 289-290 ◽  
Author(s):  
Scott Weich ◽  
Ricardo Araya
Keyword(s):  
Mental Disorders ◽  
Regional Variation ◽  
Common Mental Disorders ◽  
Psychiatric Morbidity ◽  
Epidemiological Survey ◽  
Decision Makers ◽  
Local Decision ◽  
Local Decision Makers ◽  
Geographical Locations

Vicente and his colleagues present admirably concise findings from a large epidemiological survey of non-psychotic psychiatric morbidity in four different geographical locations in Chile (Vicente et al, 2004, this issue). Without gainsaying the importance of psychiatric morbidity in that country, many readers, including local decision-makers, may find it difficult to assimilate these results.

scholarly journals Coroners' records on suicide mortality in Montréal: limitations and implications in suicide prevention strategies

2014 ◽  
Vol 34 (1) ◽  
pp. 23-29 ◽  
Author(s):  
J Houle ◽  
C Guillou-Ouellette
Keyword(s):  
Suicide Prevention ◽  
Suicide Attempts ◽  
Decision Makers ◽  
The Other ◽  
Suicide Mortality ◽  
Prevention Strategies ◽  
The People ◽  
Local Decision ◽  
Local Decision Makers ◽  
Very High

Introduction In Montréal, the characteristics of suicide cases may vary between different areas. The information collected by coroners during their investigations of suicides could be used to support local suicide-prevention planning actions. Methods This study analyzes all coroners' records on suicide in Montréal from 2007 to 2009 to 1. determine the usefulness of the data available; 2. develop a profile of cases; 3. examine local differences by comparing two areas, one with the highest suicide rate and the other with the lowest. Results The data collected revealed the lack of a systematic, standardized procedure for recording information about deaths by suicide. The rates of missing data varied, but were very high for antecedents of suicide attempts and recent events that could have precipitated the suicide. We observed differences in the characteristics of suicide cases according to area of residence. Conclusion By adopting a standardized procedure for collecting information on cases of suicide, coroners could provide local decision makers with a more accurate portrait of the people who die by suicide in their area. Local adjustments may improve suicide-prevention strategies.

D Minus Months: Strategic Planning for Weather-Sensitive Decisions

2021 ◽  
Author(s):  
Eva D. Regnier ◽  
Joel W. Feldmeier
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Weather Forecasting ◽  
Decision Makers ◽  
Strategic Decisions ◽  
Sequential Decisions ◽  
Weather Forecasts ◽  
Current State ◽  
Set Up ◽  
Made In

General Eisenhower’s decisions to postpone and, one day later, to launch the “D-Day” invasion of Normandy are a gripping illustration of sequential decisions under uncertainty, suitable for any introductory decision analysis class. They’re also the archetypal example of weather-sensitive decision making using a forecast. This paper develops a framework for analyzing weather-sensitive decisions with a focus on the less-familiar strategic decisions that determine how forecasts are produced and what operational alternatives are available so that decision makers can extract value from forecasts. We tell the story of the decisions made in the months before D-Day regarding how to set up the forecasting process and the myriad decisions implicating nation-level resources that prepared Allied forces not just to invade, but to hold open that decision until the last possible hour so that Eisenhower and his staff could use the critical forecasts. Finally, we overview the current state of the weather-forecasting enterprise, the current challenges of interest to decision analysts, and what this means for decision analysts seeking opportunities to help the weather enterprise improve forecasts and to help operational decision makers extract more value from modern weather forecasts.

Entrepreneurial ecosystems: a systematic review

2018 ◽  
Vol 12 (4) ◽  
pp. 545-564 ◽  
Author(s):  
Parisa Maroufkhani ◽  
Ralf Wagner ◽  
Wan Khairuzzaman Wan Ismail
Keyword(s):  
Systematic Review ◽  
Information Exchange ◽  
Decision Makers ◽  
Content Type ◽  
Entrepreneurial Ecosystems ◽  
Science Index ◽  
Local Decision ◽  
State Of Research ◽  
Local Decision Makers ◽  
Practical Implications

PurposeThe literature on entrepreneurial ecosystems is fragmented, and yet, no studies have paid attention to integrating the available studies. The purpose of this study is to provide a systematic review of contributions related to entrepreneurial ecosystems.Design/methodology/approachThis literature review evaluates studies that are covered in the Web of Science index.FindingsIn addition to the recent state of research (covering industries, geographical scopes, methodologies, etc.), this study provides an extension of Isenberg’s (2011) model of entrepreneurial ecosystems.Research limitations/implicationsA new avenue arises for both conceptual and empirical research by emphasizing crowdsourcing as a contributing element for the entrepreneurial ecosystem. Future studies can evaluate the effectiveness of different types of crowdsourcing profoundly to make sure whether creating a promising ecosystem all types of crowdsourcing have a similar value or impact.Practical implicationsFor public policy and local decision-makers, both collaboration opportunities and interaction interfaces between the stakeholders of the entrepreneurial need to be reconsidered in the design of entrepreneurial ecosystems.Social implicationsHigher degrees of collaboration, information exchange and innovation are likely to yield favorable entrepreneurship environments.Originality/valueNovelty of this study arises from integrating crowdsourcing theory in the systematic review of entrepreneurial ecosystems.

scholarly journals OrclassWeb: A Tool Based on the Classification Methodology ORCLASS from Verbal Decision Analysis Framework

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Thais Cristina Sampaio Machado ◽  
Plácido Rogerio Pinheiro ◽  
Isabelle Tamanini
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Decision Makers ◽  
Analysis Framework ◽  
Verbal Decision Analysis ◽  
Human World ◽  
Support Methods ◽  
Day By Day

The decision making is present in every activity of the human world, either in simple day-by-day problems or in complex situations inside of an organization. Sometimes emotions and reasons become hard to separate; therefore decision support methods were created to help decision makers to make complex decisions, and Decision Support Systems (DSS) were created to aid the application of such methods. The paper presents the development of a new tool, which reproduces the procedure to apply the Verbal Decision Analysis (VDA) methodology ORCLASS. The tool, called OrclassWeb, is software that supports the process of the mentioned DSS method and the paper provides proof of concepts, that which presents its reliability with ORCLASS.

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