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Purpose – This chapter examines the need, and possibilities, for social science research that is grounded in the life sciences.

Design/methodology/approach – The chapter starts with the observation that the social sciences have been tied far too closely to models and concepts in the physical sciences, which has both limited and distorted research findings. The predominant models used in much of social science cannot meet the challenges we face. Examining issues in political science in particular, the author demonstrates the value of a biopolitical perspective for political science research and policy analysis relevant to the challenges we face.

Findings – Studies about human issues should be based on research that considers humans as part of the evolving biological world. Key biopolicy research areas illustrate the value and flexibility of life science models and data. Political science can and should provide important insights to our understanding of socio-political issues and options, but to succeed the discipline must abandon mechanistic models of human nature and motivation and return to an understanding based in the life sciences.

Practical implications (if applicable) – The discussion analyzes the overall strengths and weaknesses of the proposal to adopt a biopolicy approach, and concludes that obstacles, though real, can be overcome. There are opportunities for substantial contributions to social science.

Social implications (if applicable) – Failure to integrate political science with a life sciences perspective will mean a continuation of disciplinary work that is largely irrelevant or inadequate to emerging issues and problems.

Original/value of chapter – The value of this chapter is to highlight the need for a reexamination of the mechanistic models as well as the disciplinary boundaries that control most social science, and political science in particular. It examines widely recognized issues and challenges facing Western societies (and global communities) to illustrate that a life sciences perspective is essential to both analysis and policy options. It is an important consideration for academics (teachers and students) policy researchers, and policy makers as well.

Drawing upon Alfred Sohn-Rethel's work, we argue that, just as capitalism produces abstract labor, it coproduces both abstract mind and abstract life. Abstract mind is the split between mind and nature and between subject/observer and observed object that characterizes scientific epistemology. Abstract mind reflects an abstracted objectified world of nature as a means to be exploited. Biological life is rendered as abstract life by capitalist exploitation and by the reification and technologization of organisms by contemporary technoscience. What Alberto Toscano has called “the culture of abstraction” imposes market rationality onto nature and the living world, disrupting biotic communities and transforming organisms into what Finn Bowring calls “functional bio-machines.”

Young men and women dominate different niches of science education in Australia, but how this divide varies between university and post-secondary vocational education and training (VET) is not well understood. Therefore, I compare courses in both sectors to assess if the male–female gap at later stages of education mirrors adolescent career plans and subject choices made in secondary school. Multinomial logistic regressions estimated on data from the Longitudinal Survey of Australian Youth (Y06) illustrate the extent to which the gender divides in secondary and post-secondary education correspond with one another. Y06 started with the 2006 Australian Programme for International Student Assessment (PISA). Each year until 2013, a nationally representative sample of youth, who were nearly 16 years old in 2006, reported their schooling and work experiences. I find that Australian women rarely specialise in physics, engineering and technology (PET); in contrast, they dominate the life sciences. While post-secondary science is segregated by gender everywhere, the disparity within VET is much deeper due to a large share of PET enrolments. VET students, who come from modest socio-economic backgrounds and have less academic success at school, learn in more segregated environments than their university peers. This analysis suggests that gender divides will be particularly hard to close within post-secondary VET, even if schools succeed in eradicating gender differentials in students’ career aspirations, science performance, self-concept and choices of science subjects.

Morgan State University (Morgan) is a leading undergraduate institution for black science and engineering doctoral degree recipients. Morgan also is a leader in the production of black engineering degree recipients in the United States. This chapter provides a historic overview of the major programs with a tie to the impact on the institutional metrics, a discussion of the process for developing researchers in science and engineering, and alumni perspectives. The undergraduate research development models used in engineering at Morgan are compared and contrasted with the life sciences and physical sciences. The programs focus on developing communities of engineering practice and communities of science, thereby enhancing students’ self-efficacy and resilience, shaping disciplinary identity, and creating learning communities. These approaches are critical for the success of minority students and are supported by the social science literature. Best practices have been adopted at varying levels by the School of Engineering, the School of Computer Mathematics and Natural Science and the Behavioral Science departments that have netted these Ph.D. outcomes including multiyear mentored research, research training courses, and participation in professional meetings. Multiple approaches to student development, when matched with the disciplinary culture, are shown to result in national impact.

The importance of early and developmentally appropriate science education is increasingly recognized. Consequently, creation of common guidelines and standards in early childhood science education has begun (National Research Council (NRC), 2012), and researchers, practitioners, and policy makers have shown great interest in aligning professional development with the new guidelines and standards. There are some important issues that need to be addressed in order to successfully implement guidelines and make progress toward accomplishing standards. Early childhood teachers have expressed a lack of confidence in teaching science and nature (Torquati, Cutler, Gilkerson, & Sarver, in press) and have limited science and pedagogical content knowledge (PCK) (Appleton, 2008). These are critical issues because teachers’ subject-matter knowledge is a robust predictor of student learning outcomes (Enfield & Rogers, 2009; Kennedy, 1998; Wilson, Floden, & Ferrini-Mundy, 2002) and is seen as a critical step toward improving K-12 student achievement (National Commission on Mathematics and Science Teaching for the 21st Century (NCMST), 2000; NRC, 2000). We argue that the same is true of preschool teachers.

This chapter discusses: (a) theories and practices in early childhood science education (i.e., preschool through 3rd grade) in relation to teaching for conceptual change, (b) research on methods of professional development in early childhood science education, and (c) innovative approaches to integrating scientific practices, crosscutting concepts, and disciplinary core ideas with early childhood professional development.