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In the wake of growing pressures to make scholarly knowledge commercially relevant via translation into intellectual property, various techno-scientific communities have mobilized to create open access/open source experiments. These efforts are based on the ideas and success of free and open source software, and generally try to exploit two salient features: increased openness and circulation, and distributed collective innovation. Transferring these ideas from software to science often involves unforeseen challenges, one of which is that these movements can be deemed, often incorrectly, as heretical by university administrators and technology transfer officers who valorize metrics such as number of patents filed and granted, spin-off companies created, and revenue generated. In this paper, we discuss nascent efforts to foster an open source movement in nanotechnology and provide an illustrative case of an arsenic removal invention. We discuss challenges facing the open source nano movement that include making a technology widely accessible and the associated politics of metrics.

Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

In light of the growing interest in neuroscience within the managerial and organizational cognition (MOC) scholarly domain at large, this chapter advances current knowledge on core neuroscience methods. It does so by building on the theoretical analysis put forward by Healey and Hodgkinson (2014, 2015), and by offering a thorough – yet accessible – methodological framework for a better understanding of key cognitive and social neuroscience methods. Classifying neuroscience methods based on their degree of resolution, functionality, and anatomical focus, the chapter outlines their features, practicalities, advantages and disadvantages. Specifically, it focuses on functional magnetic resonance imaging, electroencephalography, magnetoencephalography, heart rate variability, and skin conductance response. Equipped with knowledge of these methods, researchers will be able to further their understanding of the potential synergies between management and neuroscience, to better appreciate and evaluate the value of neuroscience methods, and to look at new ways to frame old and new research questions in MOC. The chapter also builds bridges between researchers and practitioners by rebalancing the hype and hopes surrounding the use of neuroscience in management theory and practice.

Neuroimaging research has substantially enhanced our understanding of the neurobiological mechanisms of typical and atypical learning in children. These developments can advance the design of novel approaches to diagnosis and intervention for learning disabilities. Despite the promise of educational neuroscience, there are still walls between neuroscience and special education researchers such that more collaboration and understanding are needed between these disciplines. This chapter attempts to break down the walls by discussing how neuroimaging techniques can be incorporated into special education research. We also present arguments as to why neuroscience is “the next big thing” in special education research and the obstacles that must be overcome in order for neuroscience to be incorporated into education research. To describe how neurobiology might impact special education, we focus primarily on reading disability. We believe that educational neuroscience can aid in the identification and intervention of other learning disorders as well.

If we want to improve managerial cognition, we need to capture the full spectrum of cognitive functions and the complex processes through which they unfold. I propose two very different methods (one older and low-tech, one newer and high-tech) that allow us to observe cognitive functions and processes directly in real time.

This chapter discusses the practical challenges and opportunities involved in merging the two fields of cognitive neurosciences and strategic management, starting from the premise that the need to marry them is justified by their complementarities, as opposed to the level of analysis on which they both focus. We discuss the potential benefits and drawbacks of using methods borrowed from cognitive neurosciences for management research. First, we argue that there are clear advantages in deploying techniques that enable researchers to observe processes and variables that are central to management research, with the caveat that neuroscientific methods and techniques are not general-purpose technologies. Second, we identify three core issues that specify the boundaries within which management scholars can usefully deploy such methods. Third, we propose a possible research agenda with various areas of synergy between the complementary capabilities of management and neuroscience scholars, aiming to generate valuable knowledge and insight for both disciplines and also for society as a whole.

Purpose – Due to an absence of dialogue between sociology and the neurosciences, the scientific study of morality largely ignores cultural and structural influences. This chapter offers a synthetic approach integrating these separate disciplines to aid a more complete understanding of morality.

Design/methodology/approach – This chapter reviews morality's bonding (a sense of groupness and belonging) and bounding (reproducing and reinforcing group boundaries) qualities across disciplines, and proposes three provisional principles to systematize an interdisciplinary model of morality. We then offer a preliminary illustration of how this model might be operationalized with functional MRI data.

Findings – Our proposed principles (as exemplified by our illustrative example) suggest that the sociology-neurology gap in understanding the domain of morality might shrink through an engagement with the underlying neural mechanisms that encompass issues of empathy, racial attitudes, and identity as potential platforms opening up a more “social” neuroscience.

Research limitations/implications – This chapter provides a starting-point for further research incorporating biological mechanisms into sociological theories in the area of morality. The illustrative case study should be replicated in a larger sample and/or in additional studies with different social groups.

Practical implications – This chapter is a useful source of information for sociologists seeking to find out more about the intersection of neuroscience and sociology as well as the neural dynamics of morality.

Originality/value – This chapter presents an introduction to an integrative approach recognizing our biological capacities for a socially constructed morality and the interaction between society and the mind. It includes one of the first sociologically oriented fMRI studies, offering avenues for new ways to bridge research disciplines.