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Quantitative Storytelling
Quantitative storytelling (QST) is a systematic approach used to explore the multiplicity of frames potentially legitimate in a scientific study or controversy.[Giampietro, M., Aspinall, R. J., Ramos-Martin, J. and Bukkens, S. G. F. (2014) Resource Accounting for Sustainability Assessment: The Nexus between Energy, Food, Water and Land Use. Taylor & Francis (Routledge Explorations in Sustainability and Governance).](https://books.google.es/books?id=Vb6uAwAAQBAJ) QST assumes that in an interconnected society multiple frameworks and worldviews are legitimately upheld by different entities and social actors. QST looks critically on models used in evidence-based policy (EBP. Such models are often reductionist, in the sense discussed by, in that tractability is achieved at the expenses of suppressing relevant available evidence. QST suggests corrective approaches to this practice. Context Quantitative storytelling (QST) addresses evidence based policy and can be considered as a reaction ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sensitivity Auditing
Sensitivity auditing is an extension of sensitivity analysis for use in policy-relevant modelling studies. Its use is recommended - e.g. in the European Commission Impact assessment guidelines and by the European Science Academies- when a sensitivity analysis (SA) of a model-based study is meant to demonstrate the robustness of the evidence provided by the model, but in a context where the inference feeds into a policy or decision-making process.Saltelli, A., van der Sluijs, J., Guimarães Pereira, Â., 2013, Funtowiz, S.O., What do I make of your Latinorum? Sensitivity auditing of mathematical modelling, International Journal Foresight and Innovation Policy, 9 (2/3/4), 213–234. Approach In settings where scientific work feeds into policy, the framing of the analysis, its institutional context, and the motivations of its author may become highly relevant, and a pure SA - with its focus on parametric (i.e. quantified) uncertainty - may be insufficient. The emphasis on the framing ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NUSAP
NUSAP is a notational system for the management and communication of uncertainty in science for policy, based on five categories for characterizing any quantitative statement: Numeral, Unit, Spread, Assessment and Pedigree. NUSAP was introduced by Silvio Funtowicz and Jerome Ravetz in the 1990 book '' Uncertainty and Quality in Science for Policy''.Funtowicz, S. & Ravetz J., 1990, Uncertainty and Quality in Science for Policy, Kluwer Academic Publishers, Dordrecht. See also van der Sluijs et al. 2005.van der Sluijs, J., Craye, M., Funtowicz, S., Kloprogge, P., Ravetz, J., and Risbey, J. (2005) Combining Quantitative and Qualitative Measures of Uncertainty in Model based Environmental Assessment: the NUSAP System, Risk Analysis, 25 (2). p. 481-492. The concept The name "NUSAP" is an acronym for the categories just mentioned. * Numeral will usually be an ordinary number; * Unit refers to the units used in Numeral; * Spread is an assessment of the error in the value of the Numeral; ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sensitivity Auditing
Sensitivity auditing is an extension of sensitivity analysis for use in policy-relevant modelling studies. Its use is recommended - e.g. in the European Commission Impact assessment guidelines and by the European Science Academies- when a sensitivity analysis (SA) of a model-based study is meant to demonstrate the robustness of the evidence provided by the model, but in a context where the inference feeds into a policy or decision-making process.Saltelli, A., van der Sluijs, J., Guimarães Pereira, Â., 2013, Funtowiz, S.O., What do I make of your Latinorum? Sensitivity auditing of mathematical modelling, International Journal Foresight and Innovation Policy, 9 (2/3/4), 213–234. Approach In settings where scientific work feeds into policy, the framing of the analysis, its institutional context, and the motivations of its author may become highly relevant, and a pure SA - with its focus on parametric (i.e. quantified) uncertainty - may be insufficient. The emphasis on the framing ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Low-carbon Economy
A low-carbon economy (LCE) or decarbonised economy is an economy based on energy sources that produce low levels of greenhouse gas (GHG) emissions. GHG emissions due to human activity are the dominant cause of observed climate change since the mid-20th century. Continued emission of greenhouse gases will cause long-lasting changes around the world, increasing the likelihood of severe, pervasive, and irreversible effects for people and ecosystems. Shifting to a low-carbon economy on a global scale could bring substantial benefits both for developed and developing countries. Many countries around the world are designing and implementing low-emission development strategies (LEDS). These strategies seek to achieve social, economic, and environmental development goals while reducing long-term greenhouse gas emissions and increasing resilience to the effects of climate change. Globally implemented low-carbon economies are therefore proposed as a precursor to the more advanced, zero-ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ecological Footprint
The ecological footprint is a method promoted by the Global Footprint Network to measure human demand on natural capital, i.e. the quantity of nature it takes to support people or an economy. It tracks this demand through an ecological accounting system. The accounts contrast the biologically productive area people use for their consumption to the biologically productive area available within a region or the world (biocapacity, the productive area that can regenerate what people demand from nature). In short, it is a measure of human impact on the environment. Footprint and biocapacity can be compared at the individual, regional, national or global scale. Both footprint and biocapacity change every year with number of people, per person consumption, efficiency of production, and productivity of ecosystems. At a global scale, footprint assessments show how big humanity's demand is compared to what Earth can renew. Global Footprint Network estimates that, as of 2014, humanity has ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scientific Modelling
Scientific modelling is a scientific activity, the aim of which is to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate by referencing it to existing and usually commonly accepted knowledge. It requires selecting and identifying relevant aspects of a situation in the real world and then developing a model to replicate a system with those features. Different types of models may be used for different purposes, such as conceptual models to better understand, operational models to operationalize, mathematical models to quantify, computational models to simulate, and graphical models to visualize the subject. Modelling is an essential and inseparable part of many scientific disciplines, each of which has its own ideas about specific types of modelling. The following was said by John von Neumann. There is also an increasing attention to scientific modelling in fields such as science education, philosophy of science, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Industrial Ecology
Industrial ecology (IE) is the study of material and energy flows through industrial systems. The global industrial economy can be modelled as a network of industrial processes that extract resources from the Earth and transform those resources into products and services which can be bought and sold to meet the needs of humanity. Industrial ecology seeks to quantify the material flows and document the industrial processes that make modern society function. Industrial ecologists are often concerned with the impacts that industrial activities have on the environment, with use of the planet's supply of natural resources, and with problems of waste disposal. Industrial ecology is a young but growing multidisciplinary field of research which combines aspects of engineering, economics, sociology, toxicology and the natural sciences. Industrial ecology has been defined as a "systems-based, multidisciplinary discourse that seeks to understand emergent behavior of complex integrated ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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