Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda
Abstract Models for supporting climate adaptation and mitigation planning, mostly in the form
of Integrated Assessment Models, are poorly equipped for aiding questions related to …
of Integrated Assessment Models, are poorly equipped for aiding questions related to …
A review and catalogue to the use of models in enabling the achievement of sustainable development goals (SDG)
Sustainable development goals (SDG) represent one of the pillars of the UN's 2030 agenda
aiming to secure a more sustainable future for all nations. The 17 goals comprising the SDG …
aiming to secure a more sustainable future for all nations. The 17 goals comprising the SDG …
Anthropogenic drought: Definition, challenges, and opportunities
Traditional, mainstream definitions of drought describe it as deficit in water‐related variables
or water‐dependent activities (eg, precipitation, soil moisture, surface and groundwater …
or water‐dependent activities (eg, precipitation, soil moisture, surface and groundwater …
Achieving the sustainable development goals requires transdisciplinary innovation at the local scale
The diversity of local conditions across regions has led to numerous challenges and
opportunities for the implementation of global sustainability frameworks such as the …
opportunities for the implementation of global sustainability frameworks such as the …
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …
coupled human-natural systems. However, uncertainty in various forms challenges …
[HTML][HTML] Decision making under deep uncertainties: A review of the applicability of methods in practice
MCB Stanton, K Roelich - Technological Forecasting and Social Change, 2021 - Elsevier
Deep uncertainties like environmental and socio-economic changes create challenges to
decision making. Decision Making under Deep Uncertainty (DMDU) methods are …
decision making. Decision Making under Deep Uncertainty (DMDU) methods are …
Evaluating the potential and challenges of an uncertainty quantification method for long short‐term memory models for soil moisture predictions
Recently, recurrent deep networks have shown promise to harness newly available satellite‐
sensed data for long‐term soil moisture projections. However, to be useful in forecasting …
sensed data for long‐term soil moisture projections. However, to be useful in forecasting …
[HTML][HTML] Knowledge co-production for decision-making in human-natural systems under uncertainty
Decision-making under uncertainty is important for managing human-natural systems in a
changing world. A major source of uncertainty is linked to the multi-actor settings of …
changing world. A major source of uncertainty is linked to the multi-actor settings of …
Equity in water resources planning: A path forward for decision support modelers
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes
containing speculation, on a civil engineering topic of general interest and relevance to the …
containing speculation, on a civil engineering topic of general interest and relevance to the …
Eight archetypes of sustainable development goal (SDG) synergies and trade‐offs
Abstract Achieving the Sustainable Development Goals (SDGs) is contingent on managing
complex interactions that create synergies and trade‐offs between different goals. It is …
complex interactions that create synergies and trade‐offs between different goals. It is …