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Increasingly, groups external to educational systems are offering time, expertise and products, creating an intricate web of educational governance where entities outside of formal education contribute to state-funded education systems. While this involvement and its motivations have been considered in the literature, it has been less common to explore these interactions between school systems and outside organizations as they relate to the transition from the knowledge economy to the intelligent economy. Such research is important to understand the numerous inputs to education, which can then inform future decision-making. This study traces scripts around the commodification of knowledge, which connects education to individual employability or the economy and cyborg dialectic, or the mutual relationship between humans and technology. These scripts intersect to contribute to the perpetuation of data creation and usage as part of the educational intelligent economy. The scripts traced here originate from Battelle, a primarily a Ohio-based research and development organization, also focused on classroom teaching and learning, specifically in STEM (Science, Technology, Engineering and Mathematics) education. Mapping scripts related to the commodification of knowledge and the cyborg dialectic indicates promotion of the intelligent economy broadly and individually for Battelle itself across Ohio and beyond, through investments in educators, students and policy-makers but also Battelle’s potential employees and collaborators. This data-focus creates an educational intelligence not only in students, teachers and policy-makers but also in Battelle itself, legitimating it as an actor in education.

While the important role of information literacy instruction as a central service in academic libraries is well observed in scholarly literature, there has been little examination of the impact of the rapid increase of instructional duties on practicing librarians, whose traditional instruction duties have expanded or whose positions have not traditionally required leading a classroom. The study in this chapter explores librarians’ perceptions of the impact that increased instruction tasks have had on their day-to-day and long-term goals, perceptions of the support they receive in performing their instructional duties, and what types of instruction training they have received throughout their career. The ways in which the addition of instruction duties for librarians have been perceived by the librarians themselves as they strive to increase support for instructional services without impacting the library’s ability to continue to perform traditional public and technical services functions is discussed as a marker of the future needs of the field and the necessity of recognizing professional strain.

With the emergence of the sharing economy paradigm, the process of innovation is no longer unidirectional, but cyclical. This paradigm shift requires a better understanding of social actors to fully leverage the promise of co-innovation in the sharing economy. To this end, the purpose of this paper is to develop a classification model to profile social actors based on their motivation to participate in different co-innovation activities.

A preliminary case study was first conducted to identify actors’ motivations to continuously participate in co-innovation activities. Next, a survey was administrated to validate the measurement model and then a discriminant analysis was run on a sample of 244 actors to classify actors based on their willingness to participate in three forms of co-innovation activities. Lastly, the resultant classifiers were cross-validated.

The results indicate that financial gains, entrepreneurship and learning are significant predictors of ideation (sharing new ideas). Enjoyment and learning are strong indicators of collaboration (sharing knowledge or experience), whereas networking, enjoyment, and altruism are most strongly related to socialization (sharing network and connections). These findings highlight three classes of social actors – ideators, collaborators and networkers – based on motivational differences.

Co-innovation among individual inventors is an understudied aspect of the sharing economy. This study provides a theoretically parsimonious classification model to profile social actors, predict the sharing activities in co-innovation networks, and highlight the importance of platform design to appeal to different classes of potential contributors in collaborative innovation.

This paper explores the phenomenon of collecting a plethora of memorabilia associated with a specific brand – in this case, the British Royal Family (BRF) brand. We explore the lifeworld of “Elizabeth,” an über-collector of BRF memorabilia, and describe how her collection can be interpreted as extensions of three separate identities – Collector, Business Owner, and Media Expert. Within these three identities, Elizabeth expressed different emergent roles to the various social networks within whom she interacted (e.g., as a collector, she often acted as “Rescuer,” taking in others’ BRF collections in order to preserve them). We illuminate these different roles and offer suggestions for future research.

This paper aims to assess the increasing challenges to governing the personal health information (PHI) essential for advancing artificial intelligence (AI) machine learning innovations in health care. Risks to privacy and justice/equity are discussed, along with potential solutions.

This conceptual paper highlights the scale and scope of PHI data consumed by deep learning algorithms and their opacity as novel challenges to health data governance.

This paper argues that these characteristics of machine learning will overwhelm existing data governance approaches such as privacy regulation and informed consent. Enhanced governance techniques and tools will be required to help preserve the autonomy and rights of individuals to control their PHI. Debate among all stakeholders and informed critique of how, and for whom, PHI-fueled health AI are developed and deployed are needed to channel these innovations in societally beneficial directions.

Health data may be used to address pressing societal concerns, such as operational and system-level improvement, and innovations such as personalized medicine. This paper informs work seeking to harness these resources for societal good amidst many competing value claims and substantial risks for privacy and security.

This is the first paper focusing on health data governance in relation to AI/machine learning.

The aim of this paper is to discover the views of Michael Porter and Elizabeth Teisberg on redefining value in health care.

The paper is in the form of an interview with Michael Porter and Elizabeth Teisberg with reference to their book Redefining Health Care: Creating Value‐based Competition on Results.

The paper reveals the subjects of cost, quality and access have reached crisis proportions in health care services and thus a value‐based competition approach would alleviate this.

The interview provides useful information on the redefinition of value in health care

The purpose of this paper is to describe six recovery-oriented peer support experiences and strategies implemented in different regions of Brazil in the past 12 years, and explore challenges to their development and potential for empowerment and citizenship.

In this paper, a group of stakeholders in mental health services involving people with lived experience of severe mental illness describe their experiences with services of peer support. These were all conducted in Brazil and in partnership with the International Recovery and Citizenship Collective (IRCC) and The Yale Program for Recovery and Community Health. The authors met monthly to exchange experiences, studies and practices, and six experiences were selected, described, analyzed and compared. A discussion of these experiences, their challenges, impact and potential followed.

The explored experiences emphasize that peer support, lived experience leadership and advocacy are feasible in the Brazilian mental health system and can help advance the Brazilian Psychiatric Reform.

This paper is limited to the experience of researchers already engaged in peer support work in six cities in Brazil. Although they represent several different regions in Brazil, there are areas it has not reached. Further research should address and provide a broader view of peer support and recovery strategies spreading in the country.

These experiences demonstrate the feasibility and acceptability of the recovering citizenship approach to reduce stigma, promote empowerment, autonomy, activism and advocacy, and increase a sense of belonging for those in recovery and marginalized by society. The Brazilian psychiatric reform can benefit from including peer supporters as mental health treatment providers.

This paper provides a novel view of the state of the art of peer support initiatives in Brazil and can inspire individuals, government and communities as they see and understand the breadth, depth and meanings of these peer support experiences.

Co-innovation networks face the important challenge of cultivating collective innovation outcomes while also preserving the interests of individual contributors. Addressing this challenge requires first understanding and then managing individuals’ perception of co-innovation risks. The purpose of this paper is to provide a meaningful approach to addressing co-innovation risks using a valid and reliable model to assess actors’ perception of risk and examine its effect on actor co-innovation behavior.

The construct of co-innovation risk from the actor’s perspective was conceptualized based on a case study of a co-innovation network. The measurement items underwent a pilot study and a field study to establish the necessary reliability and validity. This paper also empirically assesses a nomological network that illustrates the effect of risk on co-innovation behavior with a moderating effect of prior experience.

Co-innovation actors perceived four different individual risks: time, social, intellectual property right, and financial. The empirical results from the field study demonstrate a high degree of confidence in both translation validity and criterion-related validity. Negative effects of perceived co-innovation risk on actors’ continuous intention to ideate, collaborate, and communicate in co-innovation were evident, but prior experience moderated these relationships.

Drawing from co-innovation and individual risk literature, this study develops and validates a general instrument to measure co-innovation risk from the actors’ perspective. The result is a reliable and parsimonious instrument with 15 items, which contributes significantly to future empirical investigations of co-innovation behavior on virtual platforms.