Global sustainability problems pose serious challenges for humanity. In handling these problems education for sustainable development (ESD) is seen as important. Different key competences that ESD should focus on have been introduced, such as the ability to deal with future dimensions. Still, studies indicate that future dimensions are not always included in ESD and that many young people are pessimistic concerning the global future. Therefore, one could argue that a focus on anticipatory emotions, especially hope, should be included in ESD.
Global health threats such as the recent Ebola and Zika virus outbreaks require rapid and robust responses to prevent, reduce and recover from disease dispersion. As part of broader big data and digital humanitarianism discourses, there is an emerging interest in data produced through mobile phone communications for enhancing the data environment in such circumstances.
Over the past decades, detailed individual building energy models (BEM) on the one side and regional and country-level building stock models on the other side have become established modes of analysis for building designers and energy policy makers, respectively. More recently, these two toolsets have begun to merge into hybrid methods that are meant to analyze the energy performance of neighborhoods, i.e. several dozens to thousands of buildings. This paper reviews emerging simulation methods and implementation workflows for such bottom-up urban building energy models (UBEM).
