LEADER 04222nam 2200973z- 450 001 9910557204003321 005 20231214133040.0 035 $a(CKB)5400000000041900 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76260 035 $a(EXLCZ)995400000000041900 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling and Simulation of Human-Environment Interactions 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (164 p.) 311 $a3-0365-2808-3 311 $a3-0365-2809-1 330 $aComputational models provide intelligent environmental decision support systems to understand how human decisions are shaped by, and contribute to changes in, the environment. These models provide essential tools to tackle the important issues raised by climate change, including migrations and conflicts due to resource scarcity (e.g., water resources), while accounting for the necessity of co-managing ecosystems across a population of stakeholders with diverse goals. Such socio-environmental systems are characterized by their complexity, which is reflected by an abundance of open questions. This book explores several of these open questions, based on the contributions from over 50 authors. While several books account for methodological developments in modeling socio-environmental systems, our book is unique in combining case studies, methodological innovations, and a holistic approach to training the next generation of modelers. One chapter covers the ontological, epistemological, and ethical issues raised at the intersection of sustainability research and social simulation. In another chapter, we show that the benefits of simulations are not limited to managing complex eco-systems, as they can also serve an educational mission in teaching essential rules and thus improve systems thinking competencies in the broader population. 606 $aTechnology: general issues$2bicssc 610 $agoal frames 610 $arestoration decision-making rules 610 $arestoration decision-making processes 610 $amixed qualitative and quantitative data collection and analysis 610 $afarmer stakeholders 610 $aCentral Malawi 610 $acomputer modeling 610 $ahuman simulation 610 $asocial simulation 610 $asustainability 610 $adevelopment studies 610 $aassemblage theory 610 $aontology 610 $aepistemology 610 $aethics 610 $aagent-based modeling 610 $ahousing markets 610 $aUrban Shrinkage 610 $acities 610 $aDetroit 610 $aGIS 610 $aagent-based model 610 $amodel development 610 $aIoT sensors 610 $asmart cities 610 $areal-time data 610 $aMARS 610 $asimulation correction 610 $adecision support systems 610 $aurban planning 610 $amultimodal travel 610 $ahuman responses 610 $aquantitative modeling 610 $awater resources planning 610 $awater availability 610 $awater shortage 610 $adrought 610 $aCongo Basin 610 $aLake Chad 610 $aclimate change 610 $awater 610 $amigrations 610 $aconflicts 610 $agender 610 $aresilient development 610 $amodeling 610 $ahybrid modeling 610 $ahybrid simulation 610 $ausability 610 $ahigh school education 610 $aphysics education 610 $auser experience 615 7$aTechnology: general issues 700 $aGiabbanelli$b Philippe J$4edt$01297607 702 $aLigmann-Zielinska$b Arika$4edt 702 $aGiabbanelli$b Philippe J$4oth 702 $aLigmann-Zielinska$b Arika$4oth 906 $aBOOK 912 $a9910557204003321 996 $aModelling and Simulation of Human-Environment Interactions$93024607 997 $aUNINA