Ioannis Athanasiadis bio photo

Ioannis Athanasiadis

Professor of Artificial Intelligence
Wageningen University & Research

Email University Page Twitter LinkedIn Google Scholar ORCID ACM DL DBLP Web of Science

The inaugural issue of Socio-Environmental Systems Modelling (SESMO)

A. Jakeman, I. Athanasiadis, M. Haasnoot, M. Janssen, A. Voinov

Abstract

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.

Download full text in pdf format

cover image Published as:
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)