Successful transitions to agroecology require shared understanding of the sustainability implications for food systems. To gain such understanding, a transdisciplinary approach is increasingly called by funders, end users research and scientists. Transdisciplinary processes were used in UNISECO project develop strategic pathways that enable case studies across Europe. These combined with scenar...

The CP conference is the annual international conference on constraint programming. It is concerned with all aspects of computing with constraints, including theory, algorithms, environments, languages, models, systems, and applications such as decision-making, resource allocation, scheduling, configuration, and planning. The CP community is very keen to ensure it remains open to interdisciplin...

Many problems in computational sustainability involve constraints on connectivity. When designing a new wildlife corridor, we need it to be geographically connected. When planning the harvest of a forest, we need new areas to harvest to be connected to areas that have already been harvested so we can access them easily. And when town planning, we need to connect new homes to the existing utilit...

agricultural sustainability refers to the ability of a farm to produce food indefinitely, without causing irreversible damage to ecosystem health. the main objective of this study was to formulate a structural model to analyze the effects of ecological, social, and economic factors on sustainable agricultural development in qazvin province of iran. to achieve this aim, a structural model with 4...

In the process of finding paths to sustainable development, humankind faces the challenge of better understanding the interactions between human society and the natural environment. Although the definition and ultimate goal of sustainable development is still not generally agreed upon, in many cases we are able to determine what is clearly not sustainable: The extent of global energy consumptio...

an artificial neural network (ann) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304l austenitic stainless steel. the results of the ann model are in good agreement with the experimental data. the model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austeni...