Sustainable development education in the context of the 2030 Agenda for sustainable development

© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group. Education for Sustainable Development (ESD) is a concept that evolves in line with emerging sustainability issues. In the 2030 Agenda for Sustainable Development, ESD is embraced in Goal 4, Target 4.7, and reflected in other Goals and Targets. The approach towards the 2030 Agenda is important, not only because of the crucial role that education will play in the implementation of the Goals, but also in increasing its impact by orienting towards the emerging sustainability challenges. Therefore, there is a high demand for research to better understand ESD interactions with the 2030 Agenda framework in specific contexts. This study addresses the implications of Target 4.7 on the 17 Sustainable Development Goals, in the context of the Regional Centres of Expertise on Education for Sustainable Development as global multi-stakeholder networks. It analyses the interaction of Target 4.7 with other Goals and Targets, in order to identify the strongest connections amongst thematic sustainability issues. The findings revealed through statistical analyses and a comprehensive literature review, that the prevailing components of ESD are strongly interconnected with Goals 2, 3, 4, 7, 11, 12, 13, 15. Thus reinforcing that the multidimensional aspects of ESD in relation to the SDGs are stronger regarding the current complex issues such as, education, climate, energy, sustainable cities, natural habitat, consumption and production. Although the nature of multi-stakeholder networks allows for diverse approaches of ESD towards the 2030 Agenda, the study indicates the importance of partnership and informal learning for reflection of global sustainability issues in regional platforms

The contribution of Regional Centers of Expertise for the implementation of the 2030 Agenda for Sustainable Development

© 2019 Elsevier Ltd The implementation of the 2030 Agenda for Sustainable Development and the achievement of the 17 Sustainable Development Goals requires a fully integrated approach between sectors, disciplines, countries, and actors. On the fourth year of its implementation, the uptake of SDGs from non-state actors is increasing around the world, by developing engaging mechanisms for involvement at horizontal and vertical level. Considering that activation of existing partnerships is important for SDGs, in conjunction with creating new ones, this research has analysed the approach of global network of Regional Centers of Expertise on Education for Sustainable Development. An overview of involvement is done based on a survey data, by exploring collaboration in local, national and international scale. Through Hierarchical Classification Analysis, the networks are grouped into clusters with similar characteristics and discussions include challenges and potentialities for intensifying the contribution towards the 2030 Agenda

On a New Numerical Computation of the Steady State Solution for two Infinite Server parallel Queues

Abstract We consider a network of two M/M/∞ parallel queues having the same poisonnian arrival stream with rate λ. Upon his arrival to the system a customer heads to the shortest queue and stays until being served. If the two queues have the same length, an arriving customer choose one of the two queues with the same probability. Each duration of service in the two queues is an exponential random variable with rate μ and no jockeying is permitted between the two queues. We use a linear program for a numerical computation of the steady state solution of the system. Mathematics Subject Classification: 60J28, 60K25, 90C0

On linear dependence to the initial state for a class of nonstationary cryptodeterministic processes.

A one-dimensional version of the Koksma-Hlawka inequality is used to obtain autocovariance bounds for a class of nonstationary stochastic processes generated by the evolution of discrete-time chaotic dynamical systems from a random initial state

Decision making and strategies in an interaction situation: Collision avoidance at sea.

This paper aims at analysing decisions which are actually made by watch officers onboard ferries in the Dover Strait. More precisely, it aims at characterizing the generic situations in which several courses of actions are available and identifying the strategy underlying an action choice. Relying on the RPD model of Klein [Klein, G. (1997). The recognition-primed decision (RPD) model: Looking back, looking forward. In C. E. Zsambok & G. Klein (Eds.), Naturalistic decision making (pp. 285–292). Mahwah: Lawrence Erlbaum Associates], it points out the critical cues, the goals of actors and the rules they use. Two sets of data were processed: motions of vessels observed from the vessel traffic system and verbal protocols recorded onboard a ferry with three watch officers. Logistic regression models show that different types of ships do not act in the same way: the slowest vessels tend to keep their course and speed, even if they have to move. The faster cargo ships such as ferries alter their course in compliance with the regulations. In some situations, a ferry may nevertheless follow informal rules. Onboard a ‘give way’ ferry, a watch officer may in some conditions alter his course to port rather than to starboard to reduce the course alteration and the loss of time. On board the ‘stand on’ vessel, he may perform an action in order to master the situation, even if the rule requires him to keep his course and speed