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The role of social science in the curriculum of technical institutions of higher learning has always represented a series of tradeoff challenges and opportunities. Recently, issues to be addressed by those developing curricula for this audience have received increased attention. The difficulties that social and physical scientists have had collaborating on research projects have also been a matter of increasing attention and concern. Hence, to enrich this discussion we will offer a historical case study covering a 35-year (so far) experiment at Worcester Polytechnic Institute (WPI) in which both organizational and educational issues had to be addressed as faculty members of both backgrounds worked with technical students on educational projects dealing with social issues.

There have been calls to embed Information and Communication Technology (ICT) into pre-service teacher courses in preference to technology only courses as a means to provide graduate pre-service teachers with the necessary skills to integrate ICT into their teaching practice. This chapter describes a case study of a pre-service science education curriculum course that was designed to embed ICT into its curriculum, assessment and delivery. The tutor modelled best teaching practice in the use of learning technologies. The theoretical framework is Technological Pedagogical and Content Knowledge (TPACK) viewed through a representation construction approach. This approach involved the students undertaking a series of representational challenges where they constructed and critiqued representations. The study found increased student engagement with learning technologies and an enhanced TPACK over the period of the course. Several factors that may have led to these findings are discussed.

In this discussion, we sketch the motivation and design for a co-terminal master's degree in Entrepreneurial Science and Technology. We aim the degree specifically at science and engineering undergraduates who would go on to (1) individual or technology management positions in established organizations, (2) entrepreneurship in the public, private, or nonprofit sectors, or (3) graduate work in engineering or science or professional degrees, including business, medicine, law, or policy. The goal would be to give students concise but complete skill-sets in entrepreneurship and teamwork, and effective career networks across diverse professions. It is our hope that this can be done within an intense one-year curriculum, such that students would remain technically current (and possibly develop the application of their technical research during the degree). We discuss alternate and existing models for entrepreneurship education and explain how our conception differs.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

This chapter is devoted to sustainable human resource management that leads to sustainable competitiveness. It features the ways human resources can be managed to carry out sustainable goals and the impact of sustainability on employees' attitudes and behaviours. The aim of this study is to explore the complex objectives of sustainability and human resource management and empirically investigate the dynamic relationship between human resources in science and technology and sustainable competitiveness in the case of 35 European countries. Our contribution emphasizes this interrelationship and its causality. For this research, we applied a vector auto-regression (VAR) model, and the Granger causality method to examine the relationship between human resources in science and technology and sustainable competitiveness. A panel data included 314 observations between 2012 and 2021. The panel VAR for analysing the impulse response function was enriched with the 5% and 95%, using Monte Carlo simulations. The research results revealed bidirectional causality in the European countries between human resources in science and technology and sustainable competitiveness. Human resources in science and technology trigger sustainable competitiveness and vice versa. As an element of originality, our study demonstrates that human resources in science and technology contribute to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to the development of human resources in science and technology. Thus, the chapter outlines the role of human resources in science and technology with regard to sustainable human resource management (HRM), and how to navigate these objectives so that they can positively influence sustainable competitiveness.

The focus of this chapter is assessment of effectiveness of support infrastructure for technology-based businesses. The chapter aims to examine the effects of physical infrastructure including incubators and science parks on the level of innovation activity and performance of new technology-based firms. It reviews evidence from Western countries comparing various assessments of the impact of science parks on the firms. The chapter is set to examine the development of the science park movement in Russia; it explores the empirical evidence from a case-study university in an attempt to analyse the shortcomings in present state of the support infrastructure in Russia from point of view of technology-based companies.