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Article
Humanities, Multidisciplinary
Andrea Saltelli et al.
Summary: The sociology of quantification has focused less on mathematical modeling compared to other forms of quantification such as statistics, metrics, or algorithms based on artificial intelligence. This study explores how concepts and approaches from mathematical modeling can offer nuanced tools for ensuring methodological soundness, normative adequacy, and fairness of numbers in the sociology of quantification. The authors argue that methodological soundness can be achieved through sensitivity analysis techniques, while normative adequacy and fairness can be addressed through various dimensions of sensitivity auditing. In addition, the study investigates how modeling can inform other instances of quantification to promote political agency.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2023)
Article
Geosciences, Multidisciplinary
John Mern et al.
Summary: Geoscientific models rely on geoscientific data, so improving models often requires acquiring additional data. The value of information and Bayesian optimal survey design can guide the acquisition of additional data, but they usually focus on evaluating one campaign at a time. In real settings, especially in Earth resource exploration, planning a large sequence of data acquisition campaigns is necessary. This study formulates the problem as a partially observable Markov decision process and presents methodologies to solve it using Monte Carlo planning methods, demonstrating its effectiveness in reducing uncertainty.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Aleksandra Kim et al.
Summary: Global sensitivity analysis is a valuable tool for filtering and interpreting large models, but there is a lack of research on high-dimensional models. This study evaluates different methods' computational performance and provides recommendations for analyzing high-dimensional models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
S. Zhu et al.
Summary: This paper investigates optimization methods for environmental problems and proposes 28 efficient feature metrics that can be applied to real-world problems to better understand their characteristics and determine the most suitable optimization algorithms.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Green & Sustainable Science & Technology
Samuele Lo Piano et al.
Summary: This study provides a review of approaches for uncertainty appraisal in the life cycle assessment literature. The findings suggest that uncertainty is only appraised in a few studies, with a focus on the life cycle inventory phase. The phases of goal and scope definition and life cycle impact assessment receive less attention. In addition, the study identifies the need for improvement in the appraisal of epistemic uncertainty and the correct definition of probability distribution of uncertain factors.
JOURNAL OF INDUSTRIAL ECOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Mariia Kozlova et al.
Summary: Computational decision-making in real world environmental and sustainability contexts often involves comparing uncertain factors and difficult dimensions. Monte Carlo simulation modeling has been commonly used to integrate uncertain inputs and construct probability distributions of outputs. Visual analytics and data visualization can support processing, analyzing, and communicating the influence of multi-variable uncertainties on decision-making. This paper introduces the Simulation Decomposition (SimDec) technique to quantitatively examine carbon emissions resulting from greater airline electrification in the aviation industry. SimDec decomposes a Monte Carlo model of the flying range of all-electric aircraft based on improvements to batteries and motor efficiencies. SimDec's generalizability and simple visualization of complex uncertainties make it a powerful tool in environmental decision-making.
Article
Green & Sustainable Science & Technology
Vishal Raul et al.
Summary: The high-yield agriculture in Iowa contributes significantly to nitrogen loading in the Gulf of Mexico, and the variation in weather conditions has a notable impact on nitrogen export from the state.
Article
Business
Mark Anthony Camilleri
Summary: This contribution presents findings from a two-stage systematic review on high-impact articles focused on the ISO 14001-Environment Management Systems. The use of this certifiable standard may lead to operational efficiencies but also comes with potential pitfalls such as high certification costs and challenges in implementation due to lack of willingness or knowledge among managers and employees.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2022)
Article
Public, Environmental & Occupational Health
Dakota W. Cintron et al.
Summary: Social policies have varying effects on different subgroups of people, and evaluating these heterogeneous treatment effects is crucial for reducing health inequities. There is a lack of standardized methods for assessing these effects in social policy and health research. More research is needed to understand the frequency and methods of evaluating heterogeneous treatment effects.
ANNALS OF EPIDEMIOLOGY
(2022)
Article
Water Resources
Yizheng Wang et al.
Summary: This paper proposes a method of planning groundwater remediation as a POMDP, which can derive better remediation strategies by optimizing the trade-off between information gathering and future scenario performance. Empirical results show that DESPOT outperforms handcrafted heuristics and optimization methods by incorporating both previous information and future reward.
ADVANCES IN WATER RESOURCES
(2022)
Article
Agricultural Engineering
Samuele Lo Piano et al.
Summary: This paper presents a novel approach for characterizing uncertainty in the manual grape harvest of a winery in Tuscany. It builds a model to define useful output variables and assesses the range and importance of these variables through uncertainty analysis and sensitivity analysis. The approach can aid in risk characterization and efficient grape harvest management.
BIOSYSTEMS ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Jan Matinmikko et al.
Summary: This paper presents a sustainable feasibility study framework to support decision-making in investments for power-to-x technologies. The framework consists of three stages: ecosystem profiling, business model description, and profitability modeling.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Multidisciplinary Sciences
Arnald Puy et al.
Summary: Mathematical models are becoming more detailed for better predictions and insights, even without validation or training data. However, this practice can lead to fuzzier estimates as it increases the effective dimensions of the model.
Article
Computer Science, Interdisciplinary Applications
Fridolin Haag et al.
Summary: The study provides a framework for value of information (VoI) analysis to identify key predictive uncertainties in environmental decision models, resolving complexities such as dependencies, trade-offs, and stakeholder perspectives. The approach evaluates uncertain predictions through preference models based on utility theory to find optimal alternatives for stakeholders.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Economics
Ivan Deviatkin et al.
Summary: The translated content introduces the application of simulation decomposition (SD) in environmental sustainability decision-making, which enhances the visualization of the cause-effect relationships of multi-variable inputs and improves the understanding of the impacts of multi-variable inputs on outputs.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Andrea Saltelli et al.
Summary: Sensitivity analysis as a key component of scientific development and policy support has been rapidly evolving over the past three decades. Researchers and practitioners from various disciplines have contributed to the development of sensitivity analysis, fostering a community culture through conferences. The field is now maturing into an independent science with emerging applications in new areas such as data science and machine learning.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Saman Razavi et al.
Summary: Sensitivity analysis is becoming an essential part of mathematical modeling, with untapped potential benefits for both mechanistic and data-driven modeling as well as decision making. This perspective paper revisits the current status of SA and outlines research challenges in various areas, emphasizing the need for structuring and standardizing SA as a discipline, tapping into its potential for systems modeling, addressing computational burdens, progressing SA in the context of machine learning, clarifying its relationship with uncertainty quantification, and evolving its use in decision making. An outlook for the future of SA is provided to better serve science and society.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Health Care Sciences & Services
Lifeng Lin
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2020)
Article
Computer Science, Interdisciplinary Applications
Alisa Spiegel et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2020)
Editorial Material
Multidisciplinary Sciences
Andrea Saltelli et al.
Article
Ecology
Johannes Friedrich Carolus et al.
ECOLOGICAL ECONOMICS
(2018)
Article
Statistics & Probability
Stefan Wager et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2018)
Article
Engineering, Multidisciplinary
J. L. Hart et al.
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION
(2018)
Review
Green & Sustainable Science & Technology
Mariia Kozlova
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Mathematics, Applied
Jeff Bezanson et al.
Article
Computer Science, Interdisciplinary Applications
C. Beverly et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2016)
Review
Computer Science, Interdisciplinary Applications
Francesca Pianosi et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2016)
Review
Management
Emanuele Borgonovo et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2016)
Article
Statistics & Probability
Samira Marzban et al.
JOURNAL OF STATISTICAL THEORY AND PRACTICE
(2016)
Article
Computer Science, Interdisciplinary Applications
Francesca Pianosi et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2015)
Article
Computer Science, Interdisciplinary Applications
Joao Marques et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2015)
Article
Computer Science, Interdisciplinary Applications
Haruko M. Wainwright et al.
COMPUTERS & GEOSCIENCES
(2014)
Article
Computer Science, Interdisciplinary Applications
Alida Cosenza et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2013)
Article
Environmental Sciences
Joachim D. Pleil et al.
Article
Management
Navid Ghaffarzadegan et al.
SYSTEM DYNAMICS REVIEW
(2011)
Article
Environmental Sciences
Giles Atkinson et al.
Annual Review of Environment and Resources
(2008)
Review
Geosciences, Multidisciplinary
G de Marsily et al.
HYDROGEOLOGY JOURNAL
(2005)
Article
Computer Science, Interdisciplinary Applications
J Geldermann et al.
ENVIRONMENTAL MODELLING & SOFTWARE
(2005)
Article
Mathematical & Computational Biology
JPT Higgins et al.
STATISTICS IN MEDICINE
(2002)
Article
Computer Science, Interdisciplinary Applications
IM Sobol
MATHEMATICS AND COMPUTERS IN SIMULATION
(2001)
