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In this paper, we examine the occupational distribution of individuals who hold bachelor degrees in particular fields in the United States using data from the various waves of the National Survey of College Graduates. We propose and calculate indices that describe two related aspects of the occupational distribution by major field of study: distinctiveness (how dissimilar are the occupations of a particular major when compared with all other majors) and variety (how varied are the occupations among those who hold that particular major). We discuss theoretical properties of these indices and statistical properties of their estimates. We show that the occupational variety has increased since 1993 for most major fields of study, particularly between the 1993 and 2003 waves of the survey. We explore reasons for this broadening of the occupation distribution. We find that this has not led to an increase in reported mismatch between degree and occupation.

The BRITE program at North Carolina Central University fosters the intellectual development of students and provides them with exposure to extensive undergraduate research experiences. This hands-on training along with a rigorous academic program, advising, faculty mentoring, and career counseling adequately prepare students for careers in biotechnology, biopharmaceutical, or pharmaceutical industries and/or advanced degree programs. As a result, students are thoroughly prepared for scientific careers and to contribute to society as productive scientists. To date, there has been a high placement rate for graduates from the BRITE program. Similarly, we have also observed increasing rates of enrollment, retention, and graduation. The BRITE program is a model of success for educating future generations of scientists by infusing undergraduate research into HBCU curricula and clearly demonstrates the significance undergraduate research plays in preparing students for their professional careers.

Since the 1980s agricultural biotech investments by the public sector have increased substantially in both China and India. In the last two decades there has also been a dramatic increase in private section investment in agricultural biotechnology particularly in India. The promise of major benefits of Bt cotton identified in early socioeconomic studies of Bt cotton has proven to be true. Bt cotton has spread to at least 66% and 85% of total cotton areas of China and India, respectively – wherever bollworm is a major problem. Bt cotton continues to control bollworm in both countries, and farmers continue as major beneficiaries rather than biotech or seed companies. The major impacts have been yield increases in India and reduced pesticides consumption in China. In China, evidence also suggests that Bt cotton has suppressed the bollworm population so that non-Bt cotton growers and producers of other crops that are susceptible to bollworm are also benefitting.

The chapter also provides evidence that in the near future Bt rice and Bt eggplant could have major positive impacts by reducing pesticide use and farmers’ exposure to chemical pesticides and increasing yields. Both crops were approved for commercial production by government biosafety regulators, but are not yet available for commercial cultivation.

This introduction to the essays that follow argues that the chief problem with the dominant understanding of world affairs in the disciplines of International Relations and International Political Economy, including their Marxist versions, is an a historical, non-contradictory and economically cosmopolitan conception of capitalism. In their place, geopolitical economy is a new approach which returns to the conception of capitalism embodied in the culmination of classical political economy, Marxism. It was historical in two senses, distinguishing capitalism as a historically specific mode of social production involving by value production and understanding that its contradictions drive forward capitalism’s own history in a central way. This approach must further develop and specify uneven and combined development as the dominant pattern in the unfolding of capitalist international relations, one that is constitutive of its component states themselves. Secondly, it must understand the logic of the actions undertaken by capitalist states as emerging from the struggles involved in the formation of capitalist states and from the contradictions that are set in train once capitalism is established. Finally, it must see in the ways that class and national struggles and resulting state actions have modified the functioning of capitalism the possibilities of replacing the disorder, contestation and war that are the spontaneous result of capitalism for international relations the basis for a cooperative order in relations between states, an order which can also be the means for realising the permanent revolution and solidifying its gains on the international or world plane.

Purpose – The objective of this chapter is to examine and provide new perspectives on the contributions of public and private R&D to biotech crop improvement.

Methodology/approach – The chapter examines a set of topics that have affected the way that research is undertaken on plant germplasm improvement and how it has changed with the genetically modified (GM) trait revolution.

Findings – Although the basic science providing the foundations for GM crops was undertaken in the public sector, GM traits and GM crop varieties have been developed almost exclusively by the private sector. The biotech events leading to GM traits are currently being developed largely by five companies – all having ties to both the chemical and the seed industries. The GM crop revolution started in North American in 1996 and has spread slowly to the largest developing countries that have large agricultural sectors, including Argentina, China, Brazil, and India, but not to Europe or Japan.

Practical implication – To shed new light on the economic reasons for private sector dominance in GM crop varietal development in selected crops but not in others.

Social implication – Shows how GM traits have contributed to technical change and declining real food prices.

Heritability studies attempt to estimate the contribution of genes (vs. environments) to variation in phenotypes (or outcomes of interest) in a given population at a given time. This chapter scrutinizes heritability studies of adverse health phenotypes, emphasizing flaws that have become more glaring in light of recent advances in the life sciences and manifest most visibly in epigenetics.

Drawing on a diverse body of research and critical scholarship, this chapter examines the veracity of methodological and conceptual assumptions of heritability studies.

The chapter argues that heritability studies are futile for two reasons: (1) heritability studies suffer from serious methodological flaws with the overall effect of making estimates inaccurate and likely biased toward inflated heritability, and, more importantly (2) the conceptual (biological) model on which heritability studies depend – that of identifiably separate effects of genes versus the environment on phenotype variance – is unsound. As discussed, contemporary bioscientific work indicates that genes and environments are enmeshed in a complex (bidirectional, interactional), dynamic relationship that defies any attempt to demarcate separate contributions to phenotype variance. Thus, heritability studies attempt the biologically impossible. The emerging research on the importance of microbiota is also discussed, including how the commensal relationship between microbial and human cells further stymies heritability studies.

Understandably, few sociologists have the time or interest to be informed about the methodological and theoretical underpinnings of heritability studies or to keep pace with the incredible advances in genetics and epigenetics over the last several years. The present chapter aims to provide interested scholars with information about heritability and heritability estimates of adverse health outcomes in light of recent advances in the biosciences.