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This chapter uses the concept of real-world experiments to describe ecological activity that occurs in the wider human community. The case discussed is an ecological restoration project at Montrose Point, a peninsula in Lake Michigan on the North Side of Chicago. In the restoration of Montrose Point, the scientific importance of ecological science is not juxtaposed with the seemingly irrational ideas of the human community, but the human community becomes a part of scientific work. Like experiments in the laboratory, real-world experiments often bring surprises. However, if ecological restoration is recognized to be inherently uncertain, surprises become opportunities to learn rather than failures. The chapter concludes with a discussion how a real-world experimental strategy can help to handle surprises via alternate phases of corroboration by recursive practice.

Germany has become the most important destination country for young refugees in Europe (Destatis, 2021). Vocational education and training can make an important contribution to overcome educational barriers and gain participation in society (Will & Hohmut, 2020). Since 2015, rural regions have faced new challenges in establishing effective support systems for young apprentices with forced migration experience (Ohliger et al., 2017). The participatory LaeneAs research project seeks to identify educational barriers and to promote successful educational pathways for young refugees in vocational training. In four distinct rural areas in Germany, stakeholders in formal, non-formal, and informal learning environments and young refugees will be brought together in real-world laboratories. The authors aim to open space for a co-constructive knowledge production process between scientific and political stakeholders, educational practitioners, and refugee youth. Real-world laboratories are a socio-spatial methodology that combines research and a sustainable capacity building process. The lifeworld expertise will be used for a contextual condition analysis of structural, societal, and individual barriers to education as well as for practice transfer. Building on the discussion of the current state of research and the identification of significant gaps in the practice and research landscape, this essay will focus on the critical discussion of the methodological implementation of the study.

The ability for learners to interact online via their avatars in a 3-D simulation space means that virtual worlds afford a host of educational opportunities not offered by other learning technology platforms, but their use also raises several pertinent issues that warrant consideration. This chapter reviews the educational use of virtual worlds from a design perspective. Virtual-world definitions are explored, along with their key educational characteristics. Different virtual-world environments are briefly contrasted, including Second Life, Active Worlds, Open Sim, and Minecraft. A wide variety of virtual-world uses in schools and universities are examined so as to understand their versatility. Key educational benefits of virtual worlds are distilled from the literature, such as the ability to facilitate 3-D simulations, role-plays, construction tasks, and immersive learning. Emergent issues surrounding the use of virtual worlds are also analyzed, including cognitive load, safety, and representational fidelity. One higher education and one school level vignette are provided in order to offer more detailed insight into the use of virtual worlds in practice. Recommendations for learning design and implementation are presented, based on the thematic analysis of contemporary virtual-worlds research.

Although the practice of multiteam systems (MTSs) has been around for decades, the science of these systems has only just begun. Within the past decade and a half, although much remains to be investigated, substantial progress has been made in breaking the surface of this research. The current volume provides a review of MTS case studies and the current chapter provides a synopsis of this research. The goal of this chapter is to identify how MTSs are operating under real-world conditions in order to bridge MTS science and practice.

In this chapter, the authors provide a case analysis of the presented MTSs in the current volume in order to identify issues innate to MTSs. An approach based on the SWOT analysis technique was utilized to identify strengths, weaknesses, threats, and opportunities of the identified MTSs. In addition, six lessons learned were extracted from a content analysis of the successes and failures of these MTSs.

Although MTSs may be unique to the environment in which they operate, there are several features which seem to be inherent to all. Strengths include possessing the ability to manage complex tasks and unexpected events, being flexible in nature, and integrating communication across levels. In opposition, weaknesses include the use of nontraditional communication patterns, challenges stemming from unit diversity and resources, and the lack of common training. Lessons learned from identified MTSs include (1) utilize effective communication; (2) establish shared mental models; (3) identify roles and responsibilities; (4) convey accountability and ownership; (5) consider the ramp-up period; and (6) train individuals in an MTS at multiple levels. Opportunities and threats to MTSs are also discussed in this chapter.

This chapter offers several contributions to the state of the field in regard to MTSs. The current chapter provides a detailed content analysis of several real-world MTSs. Characteristics inherent to MTSs are identified and discussed, and lessons learned are extracted. Traditionally, science and practice has focused on the presentation of lab-based MTSs; the current volume breaks new ground by identifying how MTSs operate “in the wild.” This chapter provides a summation of this volume and offers lessons learned for MTS researchers and those working within MTSs.

Each of the four objectives can be applied within the military training environment. Military training often requires that soldiers achieve specific levels of performance or proficiency in each phase of training. For example, training courses impose entrance and graduation criteria, and awards are given for excellence in military performance. Frequently, training devices, training media, and training evaluators or observers also directly support the need to diagnose performance strengths and weaknesses. Training measures may be used as indices of performance, and to indicate the need for additional or remedial training.

This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.

Work organizations and the employees within these organizations face considerable environmental pressures requiring adaptive change. Several forces have contributed to this need for great adaptation. These are described in many excellent sources (e.g., Cascio, 2003; Ilgen & Pulakos, 1999); here we briefly review their implications for individual adaptability.

What is behavioral economics? This chapter explores a mismatch between what is included in the field of behavioral economics and some of the most visible Austrian critiques of behavioral economics. While paternalism, nudging, and a focus on irrationalities and biases are a big part of modern behavioral economics, the portrayal of the field of behavioral economics as being focused predominately upon those areas leaves a swath of low-hanging fruit that would be beneficial for Austrian scholars to consume and use in their own work.

Purpose – This chapter offers an integrative review of psychological and neurobiological differences between younger and older adults that might impact economic behavior. Focusing on key health economic challenges facing the elderly, it offers perspectives on how these psychological and neurobiological factors may influence decision-making over the life course and considers future interdisciplinary research directions.

Methodology/approach – We review relevant literature from three domains that are essential for developing a comprehensive science of decision-making and economic behavior in aging (psychology, neuroscience, and economics), consider implications for prescription drug coverage and long-term care (LTC) insurance, and highlight future research directions.

Findings – Older adults face many complex economic decisions that directly affect their health and well-being, including LTC insurance, prescription drug plans, and end of life care. Economic research suggests that many older Americans are not making cost-effective and economically rational decisions. While economic models provide insight into some of the financial incentives associated with these decisions, they typically do not consider the roles of cognition and affect in decision-making. Research has established that older age is associated with predictable declines in many cognitive functions and evidence is accumulating that distinct social motives and affect-processing profiles emerge in older age. It is unknown how these age differences impact the economic behaviors of older people and implies opportunities for path-breaking interdisciplinary research.

Originality/value of the chapter – Our chapter looks to develop interdisciplinary research to better understand the causes and consequences of age-related changes in economic decision-making and guide interventions to improve public programs and overall social welfare.

Most traditional research on work groups has studied groups and teams that are homogeneous with respect to culture. To alleviate the dearth of material on culturally heterogeneous teams, this chapter provides an overview of the impact of cultural diversity on groups and teams in today’s workforce. First, we focus on the problems involved in defining the constructs of “teams” and “culture.” Second, we provide a brief review of the cultural factors that have been identified as affecting human performance. This review serves as the basis for the third section of this chapter, which investigates if – and how – cultural heterogeneity affects team performance. Finally, we conclude with how culturally diverse workplaces can be managed and how to improve performance when faced with cultural diversity.