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Early Modern emblem books are primary sources for scholars studying the European Renaissance. Linked Open Data (LOD) is an approach for organizing and modeling information in a data-centric manner compatible with the emerging Semantic Web. The purpose of this paper is to examine ways in which LOD methods can be applied to facilitate emblem resource discovery, better reveal the structure and connectedness of digitized emblem resources, and enhance scholar interactions with digitized emblem resources.

This research encompasses an analysis of the existing XML-based Spine (emblem-specific) metadata schema; the design of a new, domain-specific, Resource Description Framework compatible ontology; the mapping and transformation of metadata from Spine to both the new ontology and (separately) to the pre-existing Schema.org ontology; and the (experimental) modification of the Emblematica Online portal as a proof of concept to illustrate enhancements supported by LOD.

LOD is viable as an approach for facilitating discovery and enhancing the value to scholars of digitized emblem books; however, metadata must first be enriched with additional uniform resource identifiers and the workflow upgrades required to normalize and transform existing emblem metadata are substantial and still to be fully worked out.

The research described demonstrates the feasibility of transforming existing, special collections metadata to LOD. Although considerable work and further study will be required, preliminary findings suggest potential benefits of LOD for both users and libraries.

This research is unique in the context of emblem studies and adds to the emerging body of work examining the application of LOD best practices to library special collections.

In a recent essay entitled “Value‐relevant Sociology”, David Gray (1983:405–416) argues that if sociology has to be socially relevant, “it is essential that sociology becomes consciously value‐relevant, not value‐free.” He maintains that sociologists cannot analyse the consequences of social structure, forces, and change in a value‐free context if their works are to be relevant for social policies. He then goes on to say, “Between the extremes of value‐free, non‐relevant, sometimes trivial, sociology on the one hand, and immediate response to pressing socioeconomic problems and prevailing political winds on the other, where does the significant sociology lie?” (1983:406). For Gray, both extremes are inappropriate for a worthy academic discipline.

This paper utilizes controversies over the role of a set of insecticides in mass honey bee die-offs in two different national contexts – France and the United States – in order to understand the science-state nexus in a comparative manner. On the one hand, the French government in 1999 and 2004 suspended the commercial use of the insecticidal products that beekeepers suspected of causing the honey bee declines. On the other hand, the US government has to date refused to heed beekeepers’ calls to limit the usage of the very same set of insecticides. We examine why the governments of France and the United States came to contrasting conclusions regarding broadly similar technoscientific issues. The divergent outcomes, we argue, are not simply the result of predetermined differences in the two states’ regulatory paradigms (with France being “precautionary,” and the United States adhering to a “sound science” approach), but are underpinned by divergent forms of beekeepers’ resistance. The paper further sheds light on non-state actors’ use of science and state to contest state (in)action by analyzing how historically influenced differences in state structures, the relational dynamics of beekeepers’ and farmers’ organizations, and the epistemic cultures of honey bee knowledge production, shaped different forms of resistance and influence in France and the United States.

Advances in technology over recent years made it possible to use machines and artificial intelligence to develop commercially viable solutions for companies to listen to consumers, decode the meaning, and respond accordingly. In parallel, solutions have been developed that are able to automatically track facial expressions of consumers when reacting to a given marketing stimulus.

The authors look at how marketing executives can apply these technologies to generate enhanced customer insights, providing a realistic context for future applications. The focus is on bringing researchers and managers closer to those moments of truth and our ability to understand customer emotions, emotional reaction, everyday language, and ultimately brand engagement.

The chapter covers the application of commercially viable use cases for (1) the automated measurement of emotions through facial coding to optimize advertizing and content, and (2) the use of voice coding technology to design interactive chatbots as an alternative to traditional surveys. In the outlook, the authors describe the potential that these technologies provide for future research and further use cases.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

Comic books are finally being recognized as a scholarly medium in literature, art, history, popular culture, and many other fields of study. Blanket disapproval of comic books, however, continues in all but a few academic libraries. Librarians do face philosophical and practical challenges to acquiring comic books, but it is both possible and desirable to do so. Valuable selection tools and Internet resources are examined, along with annotations of significant comic book creators.