Environmental Modelling & Software
Autor: | Marc Jeuland, Rebecca S. Marx, Andrea Alatorre, Ryan S. D. Calder, Varun Rao Mallampalli, Lydia Olander, Mark E. Borsuk, Sara Mason |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Technology
Evidence-based practice Environmental Engineering 020209 energy Environmental Sciences & Ecology 02 engineering and technology 010501 environmental sciences Logic model 01 natural sciences Engineering 0202 electrical engineering electronic engineering information engineering Evidence assessment Graphical model Objectivity (science) 0105 earth and related environmental sciences Results chain Management science Ecological Modeling Engineering Environmental Bayesian network INTERNATIONAL DEVELOPMENT CRITIQUE SYSTEMATIC REVIEWS Systematic review Sustainability Computer Science Computer Science Interdisciplinary Applications International development Life Sciences & Biomedicine Software Environmental Sciences |
Popis: | Governments and social benefit organizations are expected to consider evidence in decision-making. In development and sustainability, evidence spans disciplines and methodological traditions and is often inconclusive. Graphical models are widely promoted to organize interdisciplinary evidence and improve decision-making by considering mediating variables. However, the reproducibility, objectivity and benefits for decision-making of graphical models have not been studied. We evaluate these considerations in the setting of energy services in the developing world, a contemporary development and sustainability imperative. We develop a database of relevant causal relations (313 concepts, 1337 relationships) asserted in the literature (561 peer-reviewed articles). We demonstrate that high-level relationships of interest to practitioners feature less consistent evidence than the causal relationships that underpin them, supporting increased use of problem decomposition through graphical modeling approaches. However, adding such detail increases complexity exponentially, introducing a hazard of overparameterization if evidence is not available to match the level of mechanistic detail. Published (Publication status) |
Databáze: | OpenAIRE |
Externí odkaz: |