The inaugural issue of Socio-Environmental Systems Modelling (SESMO)
The world’s major environmental issues are wicked ones where: decision making and management is fraught with pervasive and deep uncertainties; stakes are contested between interest groups, government levels and industrial sectors; and cumulative scales and the dynamic nature of environmental and socioeconomic impacts need to be considered in assessing tradeoffs for supporting decisions. These issues are often framed as “socio- environmental” in nature and as grand challenges, due to the scale and severity of the issues, their complexity and uncertainty of interactions between humans and the environment. Integrated Assessment and model-based processes are essential as a scientific “meta-discipline” or “transdiscipline” that integrates disciplinary and sectoral knowledge about the relevant problem domain and makes it available for societal learning and decision making processes. In all socio-environmental investigations, conceptual and numerical modelling are essential to systemically integrate knowledge and opportunities - from all influencing sectors, interest groups and stakeholders in general. Modelling is also required to help assimilate and share knowledge, generate trust and improve adoption prospects. Socio-Environmental Modelling (SESMO) seeks to showcase innovations in model- based research toward resolving these grand challenge problems, thereby filling the niche of this rapidly evolving field of science.
A. Jakeman, I. Athanasiadis, M. Haasnoot, M. Janssen, A. Voinov, The inaugural issue of Socio-Environmental Systems Modelling (SESMO), Socio-Environmental Systems Modelling, 1:16399, 2019, doi:10.18174/sesmo.2019a16399.
You might also enjoy (View all publications)
- Introducing digital twins to agriculture
- Location-specific vs location-agnostic machine learning metamodels for predicting pasture nitrogen response rate
- Machine learning for large-scale crop yield forecasting