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Life cycle interpretation is a systematic technique to identify, quantify, check, and evaluate information from the results of the life cycle inventory and/or the life cycle impact assessment. The results from the inventory analysis and impact assessment are summarized during the interpretation phase.
Combining such data sets can enable accounting for long chains (for example, building an automobile requires energy, but producing energy requires vehicles, and building those vehicles requires energy, etc.), which somewhat alleviates the scoping problem of traditional life-cycle assessments. EIO-LCA analysis traces out the various economic ...
Industrial products – Product environmental life cycle analysis (LCA) is used for identifying and measuring the impact of industrial products on the environment. These EIAs consider activities related to extraction of raw materials, ancillary materials, equipment; production, use, disposal and ancillary equipment.
Data-driven policy is a policy designed by a government based on existing data, evidence, rational analysis and use of information technology to crystallize problems and highlight effective solutions. [66] Data-driven policy making aims to make use of data and collaborate with citizens to co-create policy. [67]
Life-cycle assessment (LCA or life cycle analysis) is a technique used to assess potential environmental impacts of a product at different stages of its life. This technique takes a "cradle-to-grave" or a "cradle-to-cradle" approach and looks at environmental impacts that occur throughout the lifetime of a product from raw material extraction, manufacturing and processing, distribution, use ...
Consider life cycle effects. In most Western societies, an individual tends to start life with little or no income, gradually increase income till about age 50, after which incomes will decline, eventually becoming negative. This affects the conclusions which can be drawn from a measured inequality.
Policy analysis or public policy analysis is a technique used in the public administration sub-field of political science to enable civil servants, nonprofit organizations, and others to examine and evaluate the available options to implement the goals of laws and elected officials.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]