Refugees are at great risk of developing mental health problems. Yet, little is known about how to optimally help this vulnerable group as there is a lack of evaluated refugee mental health interventions. The current article presents the results of a literature review which investigates the importance of place attachment for the promotion of refugees’ well-being in the resettlement process. This review concentrated on the most recent and current literature regarding the potential role, importance, and relevance of people–place bonds in the dynamic process of refugee resettlement. It examines literature from the field of positive and environmental psychology, highlighting key theoretical concepts and research findings as well as gaps in research. The review revealed that little is known about the dynamics of place bonding, while the debate rages on about the geometry of the psychological constructs of person–place relationships. Yet, knowing more about which needs should be satisfied for easing place bonding could be of crucial importance for facilitating refugee well-being. Ultimately, improving the knowledge and understanding of the phases of this dynamic process could be useful for a more successful implementation of refugee resettlement practices and activities.

The identification and engagement of stakeholders is a challenge whose outcomes have a strong impact on a project’s success. This is even more relevant when the project concerns the introduction of sustainable technologies; these technologies are often less competitive on the market than traditional ones, both in terms of development complexity and production costs. This paper presents a stakeholder identification and mapping procedure, based on an Interest x Influence model, that emphasizes a quantitative methodological approach. The method has been applied on publicly available online data to identify and map potential stakeholders of a European research project aiming at creating a new biomass-derived biofuel. A semi-supervised procedure, built by combining computational text analysis and social network analysis techniques, has been used to calculate Interest and Influence scores for each potential stakeholder toward the project. The results show that stakeholders can be ranked on both dimensions and mapped on a bi-dimensional space according to their level of Interest and Influence. Within projects aiming at developing technologies for sustainability in which a wide range of stakeholders are involved at a transnational level, this stakeholder mapping technique provides a useful tool that can be adopted even with little knowledge on specific fields of application. A further asset of this approach lies in the possibility of profiling stakeholders on the basis of their Interest in the target project: this allows us to know the contents of a stakeholder (or stakeholders category) Interest, and therefore to have useful information for addressing the targeted stakeholder by means of a content design which is based on specific content categories, substantiating the stakeholder(s) Interest in the specific project.