Kenneth A. Perez and Heather C. Lench
Awe is a positive emotion that occurs when people are in the presence of something extraordinary and beyond their typical experiences, from transformative views of majestic landscapes to the face of one’s child. Recent evidence suggests that more everyday experiences can also evoke mild feelings of awe, and that these feelings can have benefits for people’s lives. Accumulating evidence suggests that awe has several benefits for physical health, and might reduce the likelihood of developing chronic conditions. Awe also tends to prompt self-transcendence, resulting in the sense of a “small self” that shifts people’s focus towards others and the world around them. People who have experienced awe are more prosocial and helpful. They are also more creative and less likely to use stereotypes in their decision making. Over time, there is evidence that awe can improve well-being and satisfaction. Considering the grandness of the emotion of awe, it does not seem intuitive to establish a connection between awe and a relatively ordinary workplace setting. However, this chapter reviews several directions for organizations and individuals to improve their work environment and climate by fostering a sense of awe in the workplace.
Ana Yábar Sterling and Diana C. Perez Bustamante
Alexey Voinov, Pascal Perez, Juan Carlos Castilla-Rho and Daniel C. Kenny
Ecological economics, as an inherently transdisciplinary area of scientific inquiry, requires various sources of data, information, and models from different fields to create knowledge that is accessible, transparent, and compelling for scientists and stakeholders who look at the world from multiple perspectives. By synergistically linking knowledge across disciplines, the art and practice of integrated modeling can shed light on problems that would be impossible to treat through a narrow disciplinary lens. There are essentially two ways of undertaking integrated modeling. One approach—integral modeling—is to build a model by conceptualizing a real-world system, its dynamics, and the information and data that describes its functioning using a single modeling paradigm (e.g. System Dynamics). The other approach—integrated modeling—involves assembling new models out of already built models, in a modular way. Output from one model serves as input to another, and information propagates through an integrated model chain, either sequentially or in parallel (or in a combination of both). Considering the nature of the questions asked in ecological economics, we also often need to integrate across conceptual, qualitative, and quantitative models. The participatory modeling approach offers practical ways to do this, by involving stakeholders in the modeling process. This chapter describes the various approaches and opportunities for integration and provides examples of existing models relevant to ecological economics.
Erin C. Pischke, Kathleen E. Halvorsen, Tuyeni Heita Mwampamba, Lily House-Peters, Amarella Eastmond, Lucía Pérez Volkow, Mayra de Carmen Fragoso Medina and Marcella Ohira
Transdisciplinary research that addresses global change or sustainability issues often involves coordinated actions and processes involving diverse groups that cross sectorial, disciplinary, and organizational boundaries. In this chapter, we describe several key kinds of groups and discuss the challenges of incorporating them into research teams. These challenges include avoiding bias and promoting equality among actors, equity among transdisciplinary actors, cultural and language differences, parallel play instead of integrated efforts and managing multiple motivations and expectations. The strategies we review to mitigate the challenges discussed above are: managing conflict and overcoming cultural barriers; constructing shared conceptual frameworks; utilizing boundary spanners; utilizing guided dialog; and consilience workshops.