Typically understood only within the cultural history of the post–World War II folk music revival, documentarian Alan Lomax's “Cantometrics” research and artist Harry Smith's Folkways Anthology of American Music also deserve to be positioned within the broader Cold War–era rise of the digital computer and tactics of computation in American society. Linking what Ross Cole describes as the “folkloric imagination” to what we might call the Cold War “computational imagination,” Lomax and Smith each examined folk music not through conventional ethnographic or musicological modes, but rather through computational lenses of data analysis, systems theory, informatics, and cybernetics. Both sought to expand cultural democracy by doing so, carrying Popular Front ideals into the postwar milieu while also presaging dilemmas found in today's fraught context of data analytics, artificial intelligence, and the application of digital technologies to almost all aspects of human culture.

Greater labor migration can establish more channels for information flows, directly contributing to faster economic growth and improved innovation and work. It can also expand international remittances, which can be invested by recipient households in home countries in education, entrepreneurship, and improved and sustainable agricultural technologies. At the same time, however, increased emigration of medical professionals and technical workers from poor countries can reduce quality of local services, innovation, health status, and productivity. This analysis attempts to quantify the economic benefits and costs of permitting an immediate 10% increase in the bilateral migration of skilled workers (physicians, engineers or science, engineering, technology, and mathematics workers, and other persons with advanced educations) among the nations of the African Continental Free Trade Area and, more broadly, among 25 global regions. Economic benefits include higher migrant incomes abroad, welfare gains in destination countries associated with higher economic efficiency, spillover productivity gains, and an improved ability of the younger and more skilled working force to support the needs of the wider population, resulting in higher national production. Benefits in source countries include productivity enhancements from two sources: (a) greater access to knowledge associated with more bilateral trade and investment and (b) the ability of local households to invest remittances in productivity-enhancing activities. Welfare losses in source nations include static efficiency reductions and a worsened demographic support capability. In Africa, the benefit-cost ratios range from 3.7 to 6.9; in the global analysis, 17 to 38.

During the First World War, the American home front was awash with conspiracy theories alleging that internal German enemies were intentionally spreading disease among both human and animal populations, most egregiously in the case of the influenza epidemic. While false, these stories nonetheless revealed Americans’ shifting relationships to the environment, warfare, and the federal state. They channeled immediate fears over what type of war, and what type of enemy, the nation faced, as well as deeper, Progressive-era anxieties related to the dramatic expansions of government and scientific expertise in American life. As an unexplored vernacular archive, they underline how the war permitted individuals to discuss, denounce, and contest state and scientific authority at this moment in the early twentieth century.

The twentieth century saw unprecedented efforts to measure, analyze, and control the world's population. Particularly after World War II, population control and demography—the social science of human population dynamics—developed in tandem and largely through the impetus of U.S.-based philanthropies. This article explains how U.S. actors exercised power over population in sovereign nations throughout the Global South and how demographic theory came to shape population policy worldwide. It contends that U.S.-based philanthropies gained global traction for their population control projects by developing demography as an ally and then leveraging its scientific authority to put population control on the foreign policy agenda of the U.S. government and on the nation-building and economic development agendas of countries in the Global South.

In January 2018, the Bulletin of the Atomic Scientists (BAS) moved its Doomsday Clock closer to midnight: it now reads 11:58. The last time the minute hand was this close to the hour of Armageddon was 1953, just after the United States and Soviet Union tested thermonuclear bombs. Since then the stylized clock has ticked backward and forward, each year metaphorically registering civilization's proximity to global catastrophe. “To call the world's nuclear situation dire,” the group warned in its January statement, “is to understate the danger—and its immediacy.”

Brazil has encouraged an ambitious set of policies towards the pharmaceutical industry, aiming to foster technological development while meeting health requirements. We characterise these efforts, labelled the ‘Complexo Industrial da Saúde’ (Health-Industry Complex, CIS), as an outcome of incremental policy change backed by the sustained efforts of public health professionals within the federal bureaucracy. As experts with a particular vision of the relationship between health, innovation and industry came to dominate key institutions, they increasingly shaped government responses to emerging challenges. Step by step, these professionals first made science and technology essential aspects of Brazil's health policy, and then merged the Ministry of Health's new focus on science, technology and health with industrial policy measures aimed at private firms. We contrast our depiction of these policy changes with a conventional view that relies on a partisan orientation of the executive.

Food and Drug Administration (FDA) published a final regulation in 2004 that requires pharmaceutical manufacturers to place linear bar codes on certain human drug and biological products. The intent was that bar codes would be part of a system where healthcare professionals would use bar code scanning equipment and software to electronically verify against a patient’s medication regimen that the correct medication is being given to the patient before it is administered, which could ultimately reduce medication errors. In the 2004 prospective regulatory impact analysis, FDA anticipated that the rule would stimulate widespread adoption of bar code medication administration technology among hospitals and other facilities, thereby generating public health benefits in the form of averted medication errors. FDA estimated that annualized net benefits would be $5.3 billion. In this retrospective analysis, we reassess the costs and benefits of the bar code rule and our original model and assumptions. Employing the most recent data available on actual adoption rates of bar code medication administration technology since 2004 and other key determinants of the costs and benefits, we examine the impacts of the bar code rule since its implementation and identify approaches to improve the accuracy of future analyses. In this retrospective study, we use alternative models of health information technology diffusion to create counterfactual scenarios against which we compare the benefits and costs of the bar code rule. The magnitudes of the costs and benefits of the 2004 rule are sensitive to assumptions about the counterfactual technology adoption rate, with the upper-bound range of calculated annualized net benefits between $2.7 billion and $6.6 billion depending on the baseline scenario considered.

Disclaimer: The findings, interpretations, and conclusions expressed in this article are those of the authors in their private capacities, and they do not represent the views of the Food and Drug Administration.

On July 15, 1969, while more than one million space enthusiasts flocked to Florida's Cape Canaveral to celebrate the final countdown of the Apollo 11 launch the following day, a less festive gathering took place just a few miles away in an empty field outside the western gate of the Kennedy Space Center. On one side of the clearing stood NASA's chief, Thomas O. Paine, with several space agency administrators, while at the other end waited the Southern Christian Leadership Conference's (SCLC) president, Ralph Abernathy, with twenty-five poor African American families, four scruffy mules pulling two rickety wagons, and, much to Paine's dismay, a phalanx of newspaper reporters and television news crews. When Abernathy's group began slowly marching hand-in-hand singing “We Shall Overcome,” Paine and his entourage walked forward to meet them in the middle of the field. Abernathy then took a microphone, nodded toward the Apollo 11 rocket towering in the distance, and explained that his Poor People's Campaign had not traveled to the cape to protest the Apollo launch, but instead to demonstrate against the country's distorted sense of national priorities. “I want NASA scientists,” he explained to the gathered press, “to tackle problems we face in society”.

Law enforcement agencies are adopting a variety of new surveillance technologies at a fast pace. These technologies could have substantial benefits in terms of public safety, but, for many of them, their ability to reduce crime is unknown. Although a small experimental literature addresses some of these technologies, many of the implementations have been too small to provide an accurate measurement of their potential. In this paper, I explore the advantages and make general suggestions about the use of quasi-experimental methodologies in estimating the public safety benefits of police technology. I also consider the specific case of license plate readers and provide some examples of difference-in-differences approaches that could be used to study their efficacy.

Survey-based contingent valuation (CV) techniques are commonly used to value the potential effects of a policy change when market-based valuation of those effects is not possible. The results of these analyses are often intended to inform policy decisions, which are made within the context of formal policymaking institutions. These institutions are typically designed to reduce the large number of potential options for addressing any given policy problem to a binary choice between the continuation of current policy and a single, specified alternative. In this research we develop an approach for conducting CV exercises in a manner consistent with the decision structure typically faced by policymakers. The data generated from this approach allow for an estimate of willingness to pay (WTP) for a defined policy alternative, relative to leaving policy unchanged, which we argue is of direct interest to policymakers. We illustrate our approach within the context of policy governing the storage of used nuclear fuel in the United States. We value the policy option of constructing an interim storage facility relative to continuation of current policy, wherein used nuclear fuel is stored on-site at or near commercial nuclear generating plants. We close the paper with a discussion of the implications for future research and the role of CV in the policymaking process.