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Littérature scientifique sur le sujet « Decisional models »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Decisional models"

T., S. Aimé Metchebon, Valérie Brison, and Marc Pirlot. "Two models for comparing decisional maps." International Journal of Multicriteria Decision Making 3, no. 2/3 (2013): 129. http://dx.doi.org/10.1504/ijmcdm.2013.053730.

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Pierre, Jean-Sébastien. "Ecological forecasting models: Accuracy versus decisional quality." Ecological Modelling 482 (August 2023): 110392. http://dx.doi.org/10.1016/j.ecolmodel.2023.110392.

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Ferrarese, Moreno. "Decisional processing on parking behavior in entropic settings." Archives of Transport 41, no. 1 (2017): 17–29. http://dx.doi.org/10.5604/01.3001.0009.7377.

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This paper surveys the most recent advances in the context of decisional processing with focusing on the parking behavior in entropic settings, including the measures and the necessary mechanisms for the interaction of the actors-players, and their connection to decisional processing theory. The aim of this article is to provide a critical review of the most fashionable models and methods in parking lot financial design: the first class of methods covers the approach of analysis with the random entropic model; the second class of methods is the decisional processing through rational choice mod

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Dewald, Samantha Rose, Loki Natarajan, and Irene Su. "Fertility preservation and decisional regret in young breast cancer survivors: A longitudinal analysis." Journal of Clinical Oncology 35, no. 5_suppl (2017): 106. http://dx.doi.org/10.1200/jco.2017.35.5_suppl.106.

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106 Background: Fertility is important to many young breast cancer survivors (YBCS), who face difficult decisions on whether to undergo fertility preservation prior to treatment. Because few longitudinal data assessing decisional regret are available, the objectives of this study were to assess longitudinal changes in decisional regret on fertility preservation following breast cancer diagnosis; determine if fertility preservation treatment decisions are related to decreased decisional regret. Methods: From 3 academic breast cancer programs, 169 YBCS younger than age 45 were recruited at diagn

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Neufeld, Richard W. J. "“Locus of Control, Sensation Seeking, and Mathematical Models of Stress and Decisional Control: Comment on De Brabander and Hellemans”." Psychological Reports 81, no. 3_suppl (1997): 1289–90. http://dx.doi.org/10.2466/pr0.1997.81.3f.1289.

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In a recent study, De Brabander and Hellemans (1996) reported that stress (somatic complaints) was inversely related to scores on personality scales of “thrill-and-adventure sensation seeking” and “internal locus of control.” These observations, useful in their own right, are of further value when examined in the light of mathematical models of stress and decisional control. It is suggested that diminished stress associated with higher scores on these scales may result from increased engagement and reduced aversiveness of cognitive demands mediating reduction of threat under conditions of deci

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Marcus, Bess H., Bernardine M. Pinto, Laurey R. Simkin, Janet E. Audrain, and Elaine R. Taylor. "Application of Theoretical Models to Exercise Behavior among Employed Women." American Journal of Health Promotion 9, no. 1 (1994): 49–55. http://dx.doi.org/10.4278/0890-1171-9.1.49.

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Purpose. This study examines the utility of three theoretical models—the stages of change model, self-efficacy theory, and the decisional balance model—in understanding exercise behavior among employed women. Design. Data for this cross-sectional study were collected as part of a routine follow-up of a worksite-based smoking and health risk appraisal study. Setting. The study was conducted in three Rhode Island worksites, including one manufacturing company, one medical center, and one retail outlet. Subjects. Of a sample of 431 women who completed exercise questionnaires, 293 reported partici

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Tricou, Colombe, Sriram Yennu, Murielle Ruer, Eduardo Bruera, and Marilène Filbet. "Decisional control preferences of patients with advanced cancer receiving palliative care." Palliative and Supportive Care 16, no. 5 (2017): 544–51. http://dx.doi.org/10.1017/s1478951517000803.

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ABSTRACTObjective:Understanding patients' decisional control preferences (DCPs) is important to improving the quality of care and the satisfaction of patients who have advanced cancer with their care. In addition to passive decisional control (i.e., the patient prefers his/her doctor or family caregiver to make a decision on their behalf) and active decisional control (i.e., the patient decides alone), shared decisional control, where patients and caregivers decide together, could be more appropriate. The primary aim of our study was to describe the decision-making process and the DCPs of pati

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Anguzu, R., R. Cusatis, N. Fergestrom, et al. "Decisional conflict among couples seeking specialty treatment for infertility in the USA: a longitudinal exploratory study." Human Reproduction 35, no. 3 (2020): 573–82. http://dx.doi.org/10.1093/humrep/dez292.

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Abstract STUDY QUESTION What are couples’ decisional conflicts around family-building approaches before and after seeking a specialty consultation for infertility? SUMMARY ANSWER Decisional conflict is high among couples before an initial specialty consultation for infertility; on average, women resolved decisional conflict more quickly than men. WHAT IS KNOWN ALREADY Couples have multiple options for addressing infertility, and decisional conflict may arise due to lack of information, uncertainty about options and potential risks or challenges to personal values. STUDY DESIGN, SIZE, DURATION

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Witteman, Holly O., Anne-Sophie Julien, Ruth Ndjaboue, et al. "What Helps People Make Values-Congruent Medical Decisions? Eleven Strategies Tested across 6 Studies." Medical Decision Making 40, no. 3 (2020): 266–78. http://dx.doi.org/10.1177/0272989x20904955.

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Background. High-quality health decisions are often defined as those that are both evidence informed and values congruent. A values-congruent decision aligns with what matters to those most affected by the decision. Values clarification methods are intended to support values-congruent decisions, but their effects on values congruence are rarely evaluated. Methods. We tested 11 strategies, including the 3 most commonly used values clarification methods, across 6 between-subjects online randomized experiments in demographically diverse US populations ( n1 = 1346, n2 = 456, n3 = 840, n4 = 1178, n

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Grangel, Reyes, Michel Bigand, and Jean-Pierre Bourey. "Transformation of decisional models into UML: application to GRAI grids." International Journal of Computer Integrated Manufacturing 23, no. 7 (2010): 655–72. http://dx.doi.org/10.1080/09511921003767563.

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Thèses sur le sujet "Decisional models"

Blackwood, Hayley L. "Miranda Reasoning and Competent Waiver Decisions: Are Models of Legal Decision Making Applicable?" Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271782/.

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Miranda understanding, appreciation, and reasoning abilities are essential to courts' determinations of knowing and intelligent Miranda rights waivers. Despite the remarkable development of Miranda research in recent decades, studies have generally focused on understanding and appreciation of Miranda rights, but have not examined Miranda reasoning and waiver decisions. Therefore, examining the nature of defendants' decisional capacities constitutes a critical step in further developing theoretical and clinical models for competent Miranda waiver decisions. The current study evaluated Mirand

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CORTI, RAMONA. "Modelli decisionali per l'ingresso sui mercati internazionali." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/137534.

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The paper analyzes the enterprises decision-making models to approach International markets with special attention to operational practices developed by companies in the Milan hinterland territory. The analysis is preceded by a brief historical overview designed to outline the stages of the passage from the first decision-making models, which derived the expansion choices in international markets from the economic theory of organization, through decision-making related to the doctrine concerning the allocation of resources Hecksher and Ohlin, until the realization of the fact that these "trad

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Dufour, Oscar. "Enhanced agent-based models for pedestrian crowds : insights from empirical data at the Festival of Lights and refinements of mechanical interactions, pedestrian shapes, and decisional aspects." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10338.

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Avec la multiplication des événements de masse, la dynamique des foules est devenue un sujet d’étude de plus en plus important. Comprendre comment les groupes se déplacent et évoluent dans l'espace, en particulier à des densités moyennes et élevées, est crucial pour l'organisation de tels événements. La première section de cette thèse de doctorat présente l'un des premiers ensembles de données de terrain sur les foules denses. Cet ensemble comprend aussi bien des trajectoires de piétons que des données GPS et de contact collectées lors de la Fête des Lumières 2022 à Lyon. Je développe ensuite

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Agarwal, Deepti Medhi Deepankar. "Roaming decisions presentation models for smart devices in a decision support system /." Diss., UMK access, 2005.

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Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2005.<br>"A thesis in computer science." Typescript. Advisor: Deep Medhi. Vita. Title from "catalog record" of the print edition Description based on contents viewed May 30, 2006. Includes bibliographical references (leaves 91-93). Online version of the print edition.

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Roelofse, Emmalinde. "M3 strategic decision-making under uncertainty : modes, models, & momentum." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3909.

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The M3 theory contributes to new knowledge through original research and advanced scholarship by introducing a descriptive framework for strategic decision-making in uncertain and changing environments. Aided by the introduction of a Social Realism epistemology into management literature it is differentiated its ability to present complex strategic positions as essentialist (via modes), relative (via models), and dynamic (via momentum) to plot the dynamic trajectory of innovation emergence, change, adaptation and transformation over time. At a fundamental level, the M3 theory identifies a cons

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Jones, Daphne Jane. "Understanding decision-making relating to out-of-authority placements for pupils with autistic spectrum conditions." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/understanding-decisionmaking-relating-to-outofauthority-placements-for-pupils-with-autistic-spectrum-conditions(69de7471-7dd7-4afd-a69c-9b18ece382d0).html.

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This study is concerned with understanding decision-making in relation to out-of-authority educational placements for pupils with an Autistic Spectrum Condition (ASC) in one Local Authority (LA). The aims of this research were twofold. The first was to explore what factors have the greatest impact on the decision to educate pupils with an ASC outside the local authority. The second was to explore the perceptions of key informants about the process for deciding those placements. The study involved examining 24 pupil cases where out-of-authority ASC placements had been agreed and interviews with

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Elaydi, Raed Saber. "The development and testing of a nonconsequentialist decision-making model." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/2443.

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New conceptual work in the judgment and decision-making research arena has suggested a nonconsequentialist perspective to decision-making. From this perspective, an emphasis is placed on emotions during the decision-making process, specifically positing that concurrent emotions may lead to decisions that are nonconsequentialist in nature. In the current study I develop the Nonconsequentialist Decision-Making Model (NDMM) and include indecisiveness as a vital construct in the model. In tune with much new research on emotions during the decision-making process, I examine how being indecisive

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Lundgren, Rebecka. "A Repeatable Multi-Criteria Decision Model for Social Housing Asset Intervention Decisions." Thesis, Högskolan i Gävle, Avdelningen för datavetenskap och samhällsbyggnad, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-29769.

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This report describes a case study where a multi criteria decision model is used to make decisions regarding asset interventions for four social housing complexes, similar in terms of issues and possible interventions, at Christchurch City Council. The value judgements from the decision makers and their advisors that were necessary for creating the decision model were elicited through three workshops; selecting aspects, weighting and rating and lastly reviewing the output. An analysis performed shows that the decision model is logically consistent and does not suffer from the rank reversal phe

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Kim, Seong W. "Bayesian model selection using intrinsic priors for commonly used models in reliability and survival analysis /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841159.

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Burnett, Sulene. "A simplified numerical decision making toolbox for physical asset management decisions." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85626.

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Thesis (MEng)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: The management of physical assets has become a popular eld of study over recent years and is being acknowledged in multiple disciplines world wide. In this project, research on Physical Asset Management (PAM), maintenance and decision making are presented. PAM is a complex subject and requires the participation of multiple disciplines in order to successfully manage physical assets. Moreover, the management of maintenance makes a big contribution in achieving successful PAM. Decision making is a core element to manage m

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Livres sur le sujet "Decisional models"

Samson, Danny. Decision analysis models of futures options purchase decisions. University of Melbourne. Graduate School of Management, 1990.

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Bucciarelli, Edgardo, Shu-Heng Chen, and Juan Manuel Corchado, eds. Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99698-1.

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Gruber, Josef, ed. Econometric Decision Models. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-51675-7.

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Olson, David Louis. Decision support models. Kendall/Hunt, 1988.

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Bouyssou, Denis, Thierry Marchant, Marc Pirlot, Patrice Perny, Alexis Tsoukiàs, and Philippe Vincke. Evaluation and Decision Models. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1593-7.

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Kumar, G. Surya. Decision making & math models. Consortium for Mathematics and Its Applications, 1989.

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Leeflang, Peter S. H., Dick R. Wittink, Michel Wedel, and Philippe A. Naert. Building Models for Marketing Decisions. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4050-2.

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J, Willis Robert. Computer models for business decisions. Wiley, 1987.

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Kuik, Roelof. Batching decisions: Structure and models. INSEAD, 1993.

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Myerson, Roger B. Probability models for economic decisions. Thomson/Brooke/Cole, 2005.

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Chapitres de livres sur le sujet "Decisional models"

Mu, Enrique, and Milagros Pereyra-Rojas. "Understanding Ratings Models." In Practical Decision Making using Super Decisions v3. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68369-0_5.

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Mu, Enrique, and Milagros Pereyra-Rojas. "Ratings Models Using Super Decisions v3." In Practical Decision Making using Super Decisions v3. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68369-0_6.

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Mu, Enrique, and Milagros Pereyra-Rojas. "Building AHP Models Using Super Decisions v3." In Practical Decision Making using Super Decisions v3. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68369-0_3.

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Mu, Enrique, and Milagros Pereyra-Rojas. "AHP Models with Sub-criteria Using v3." In Practical Decision Making using Super Decisions v3. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68369-0_4.

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Srinivasan, R. "Network Models." In Strategic Business Decisions. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1901-9_5.

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Zabarankin, Michael, and Stan Uryasev. "Regression Models." In Statistical Decision Problems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8471-4_6.

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Sucar, Luis Enrique. "Decision Graphs." In Probabilistic Graphical Models. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6699-3_10.

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Sucar, Luis Enrique. "Decision Graphs." In Probabilistic Graphical Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61943-5_10.

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Sengupta, Raghu. "Other Decision-Making Models." In Decision Sciences. CRC Press, 2016. http://dx.doi.org/10.1201/9781315183176-6.

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Starr, Leon, Andrew Mangogna, and Stephen Mellor. "Making Translation Decisions." In Models to Code. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2217-1_3.

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Actes de conférences sur le sujet "Decisional models"

Sawyer, Doug. "The Basis of Decision – Models in the Making." In SSPC 2014 Greencoat. SSPC, 2014. https://doi.org/10.5006/s2014-00051.

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Abstract We will discuss a disciplined approach to the decision making process by developing supported defensible rational for why we do things. These things can be developing estimates, determining sales strategy, developing focus (vertical) markets, and increasing the size of our business and many others. Essentially a tool on how to get “there” from where we are today. What are the next steps, in fact what are the steps? How can we use this tool to build a better estimate, claim, set goals, where are we and where do we want to be? We often make decisions in haste, using poor factoring, not

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Ma, Mingzhuo, and Dongwen Ji. "Dynamic Decision Prediction Model based on GMARIMA and ETA Models." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10795979.

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Pajak, Emma, Abdullah Bahamdan, Klaus Hellgardt, and Antonio�del R�o-Chanona. "Multi-Agent LLMs for Automating Sustainable Operational Decision-Making." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.156776.

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Operational decision-making in Process Systems Engineering (PSE) has achieved high proficiency at specific levels, such as supply chain optimization and unit-operation optimization. However, a critical challenge remains: integrating these layers of optimization into a cohesive, hierarchical decision-making framework that enables sustainable and automated operations. Addressing this challenge requires systems capable of coordinating multi-level decisions while maintaining interpretability and adaptability. Multi-agent frameworks based on Large Language Models (LLMs) have demonstrated significan

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Seguer,, Grangel. "UML Profiles for Transforming GRAI Decisional Models into UML Use Cases." In Information Control Problems in Manufacturing, edited by Bakhtadze, Natalia, chair Dolgui, Alexandre and Bakhtadze, Natalia. Elsevier, 2009. http://dx.doi.org/10.3182/20090603-3-ru-2001.00148.

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Silvestro, Claudio, Jonathan Michaels, Spiridoula Dimou, Evanthia E. Tripoliti, and Euripides G. M. Petrakis. "Application of decisional models to the health-economic assessment of new interactive clinical software." In 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2013. http://dx.doi.org/10.1109/bibe.2013.6701638.

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Antonescu, Daniela. "Trends of Convergence at Regional Level in European Union (EU-28)." In International Conference Innovative Business Management & Global Entrepreneurship. LUMEN Publishing, 2020. http://dx.doi.org/10.18662/lumproc/ibmage2020/35.

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The objective regarding cohesion is achieved by means of a convergence process that assumes diminishing territorial inequalities between regions and territories. The cohesion process is not limited to the relatively poor regions, but aims also to more developed regions with the purpose of observing also the secondary effects for the entire EU (EC Report, 2013). Identifying the convergence or divergence trends is one of the intensely argued topics by both the academic and the political-decisional environment. The theoretical point of view approach regarding convergence was accompanied by models

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Justeau-Allaire, Dimitri, Philippe Vismara, Philippe Birnbaum, and Xavier Lorca. "Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/818.

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Faced with natural habitat degradation, fragmentation, and destruction, it is a major challenge for environmental managers to implement sustainable land use policies promoting socioeconomic development and natural habitat conservation in a balanced way. Relying on artificial intelligence and operational research, reserve selection and design models can be of assistance. This paper introduces a partitioning approach based on Constraint Programming (CP) for the reserve selection and design problem, dealing with both coverage and complex spatial constraints. Moreover, it introduces the first CP f

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Kulkarni, Vinay, Souvik Barat, Tony Clark, and Balbir Barn. "Toward overcoming accidental complexity in organisational decision-making." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338268.

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Gramelsberger, Gabriele, Hendrik Kausch, Judith Michael, et al. "Enabling Informed Sustainability Decisions: Sustainability Assessment in Iterative System Modeling." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00151.

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Cederbladh, Johan, Loek Cleophas, Eduard Kamburjan, Lucas Lima, and Hans Vangheluwe. "Symbolic Reasoning for Early Decision-Making in Model-Based Systems Engineering." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00117.

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Rapports d'organisations sur le sujet "Decisional models"

Pasupuleti, Murali Krishna. Decision Theory and Model-Based AI: Probabilistic Learning, Inference, and Explainability. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv525.

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Abstract Decision theory and model-based AI provide the foundation for probabilistic learning, optimal inference, and explainable decision-making, enabling AI systems to reason under uncertainty, optimize long-term outcomes, and provide interpretable predictions. This research explores Bayesian inference, probabilistic graphical models, reinforcement learning (RL), and causal inference, analyzing their role in AI-driven decision systems across various domains, including healthcare, finance, robotics, and autonomous systems. The study contrasts model-based and model-free approaches in decision-

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Stermieri, Lidia, Tom Kober, Russell McKenna, Thomas J. Schmidt, and Evangelos Panos. Socio-economic energy model for digitalization (SEED) overview design concept and details (ODD) protocol. Paul Scherrer Institute, PSI, 2023. http://dx.doi.org/10.55402/psi:56617.

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The Socio-Economic Energy Model for Digitalization (SEED) quantifies digitalization's impacts on technology investment choices, energy consumption, and emissions in different energy sectors. It belongs to the class of Agent Based Models and simulates the decision processes of various heterogenous actors of the energy system: households, services sectors and industry sectors. These decision processes relate to the adoption of digital services and practices, as well as the investment in end-use energy technologies to support them. The model represents a large set of complex interactions between

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Grimes, Kathryn E. L., Adam J. Walter, Amanda A. Honeycutt, Cristina Bisson, and Jennifer B. Griffin. Reach Health Assessing Cost-Effectiveness for Family Planning (RACE-FP) Methodology Report: Estimating the Impact of Family Planning Interventions in the Philippines. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.op.0072.2205.

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In the Philippines, demand for family planning (FP) is high, and the government is committed to helping the population achieve universal access to quality FP information and services. Reach Health Assessing Cost-Effectiveness for Family Planning (RACE-FP) is a decision support tool designed to estimate the impact FP interventions have on averting unintended pregnancies and on downstream maternal and neonatal health (MNH) outcomes. This report provides technical details of the RACE-FP model. RACE-FP is organized by objectives: improve postpartum FP, improve public sector and private sector prov

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Hocking, E., R. Johnson, L. Martino, and D. Elcock. A decisional process model for stewardship. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/776741.

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Miller, Bruce L. Sequential Decision Models in Reliability. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162332.

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Reneke, Paul. Evacuation Decision Model. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.ir.7914.

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts

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Klein, Gary A., Marvin L. Thordsen, and Roberta Calderwood. Descriptive Models of Military Decision Making. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226884.

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Lal, Rashmi. A Model of Employment Decision Making: An Analysis of Quit/Stay Decisions of Junior Army Officers. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204414.

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Webster, D. G. Chesapeake Governance Study: Report of 2021 Decision Maker Interview Results. Dartmouth Digital Commons, 2022. http://dx.doi.org/10.1349/zylh8682.

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This report describes the aggregate results from a series of interviews conducted with decision makers involved in governance of the Chesapeake Watershed. Interviews began in June and ended in December of 2021. Information collected will be combined with other data to create and then test a computer model to predict likely policy changes under a range of future scenarios. It is part of a larger project funded by the National Science Foundation called Modeling the Dynamics of Human and Estuarine Systems with Regulatory Feedbacks (Award #2009248). Using the Chesapeake Bay as an example, this pro

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