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In Field Seasons, Anna Marie Prentiss chronicles her experiences as an archaeologist, providing an insider’s look at the diverse cultures, personal agendas, and career pathways associated with American archaeology since the late twentieth century. As the narrative moves from her academic training to employment in government and private consulting to her eventual professorship at a state university, several themes emerge.

This book is about career paths. Its discussion of the diverse jobs within the archaeological profession makes it valuable to students seeking guidance about their career options. It also provides insight into the cultures of American archaeology, a discipline with many schools of thought and unique subcultures. The world of archaeological field technicians is quite different from that of government bureaucrats or academics. Prentiss also explores the elements of cultural change within archaeology while she reflects on her personal evolution throughout her thirty years within the discipline.

The book’s unique personal assessment of the state of American archaeology will appeal to a broad swath of students and professionals. Students will find it an entertaining road map to possible careers while professionals will find plenty of scholarly material concerning ethics, archaeological theory, and interpretations of the archaeological record.
 

Once primarily used in medical clinical trials, random assignment experimentation is now accepted among social scientists across a broad range of disciplines. The technique has been used in social experiments to evaluate a variety of programs, from microfinance and welfare reform to housing vouchers and teaching methods. How did randomized experiments move beyond medicine and into the social sciences, and can they be used effectively to evaluate complex social problems? Fighting for Reliable Evidence provides an absorbing historical account of the characters and controversies that have propelled the wider use of random assignment in social policy research over the past forty years. Drawing from their extensive experience evaluating welfare reform programs, noted scholar practitioners Judith M. Gueron and Howard Rolston portray randomized experiments as a vital research tool to assess the impact of social policy. In a random assignment experiment, participants are sorted into either a treatment group that participates in a particular program, or a control group that does not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any subsequent differences between the groups can be attributed to the influence of the program or policy. The theory is elegant and persuasive, but many scholars worry that such an experiment is too difficult or expensive to implement in the real world. Can a control group be truly insulated from the treatment policy? Would staffers comply with the random allocation of participants? Would the findings matter? Fighting for Reliable Evidence recounts the experiments that helped answer these questions, starting with the income maintenance experiments and the Supported Work project in the 1960s and 1970s. Gueron and Rolston argue that a crucial turning point came during the 1980s, when Congress allowed states to experiment with welfare programs and foundations, states, and the federal government funded larger randomized trials to assess the impact of these reforms. As they trace these historical shifts, Gueron and Rolston discuss the ways that strategies for resolving theoretical and practical problems were developed, and they highlight the strict conditions required to execute a randomized experiment successfully. What emerges is a nuanced portrait of the potential and limitations of social experiments to advance empirical knowledge. Weaving history, data analysis and personal experience, Fighting for Reliable Evidence offers valuable lessons for researchers, policymakers, funders, and informed citizens interested in isolating the effect of policy initiatives. It is an essential primer on welfare policy, causal inference, and experimental designs.

In (First Person)2, Day and Eodice offer one of the few book-length studies of co-authoring in academic fields since Lunsford and Ede published theirs over a decade ago. The central research here involves in-depth interviews with ten successful academic collaborators from a range of disciplines and settings. The interviews explore the narratives of these informants' experience—what brought them to collaborate, what cognitive and logistical processes were involved as they worked together, what is the status of collaborated work in their field, and so on—and situate these informants within the broader discussion of collaboration theory and research as it has been articulated over the last ten years.

As the study develops, Day and Eodice become most interested in the affective domain of co-authorship, and they find the most promising explorations of that domain in the work of feminist theorists in composition.

A formal model in the social sciences builds explanations when it structures the reasoning underlying a theoretical argument, opens venues for controlled experimentation, and can lead to hypotheses. Yet more importantly, models evaluate theory, build theory, and enhance conjectures. Formal Modeling in Social Science addresses the varied helpful roles of formal models and goes further to take up more fundamental considerations of epistemology and methodology.

The authors integrate the exposition of the epistemology and the methodology of modeling and argue that these two reinforce each other. They illustrate the process of designing an original model suited to the puzzle at hand, using multiple methods in diverse substantive areas of inquiry. The authors also emphasize the crucial, though underappreciated, role of a narrative in the progression from theory to model.

Transparency of assumptions and steps in a model means that any analyst will reach equivalent predictions whenever she replicates the argument. Hence, models enable theoretical replication, essential in the accumulation of knowledge. Formal Modeling in Social Science speaks to scholars in different career stages and disciplines and with varying expertise in modeling.
 

In Fraud and Misconduct in Research, Nachman Ben-Yehuda and Amalya Oliver-Lumerman introduce the main characteristics of research misconduct, portray how the characteristics are distributed, and identify the elements of the organizational context and the practice of scientific research which enable or deter misconduct. Of the nearly 750 known cases between 1880 and 2010 which the authors examine, the overwhelming majority took place in funded research projects and involved falsification and fabrication, followed by misrepresentation and plagiarism. The incidents were often reported by the perpetrator’s colleagues or collaborators. If the accusations were confirmed, the organization usually punished the offender with temporary exclusion from academic activities and institutions launched organizational reforms, including new rules, the establishment of offices to deal with misconduct, and the creation of re-training and education programs for academic staff. Ben-Yehuda and Oliver-Lumerman suggest ways in which efforts to expose and prevent misconduct can further change the work of scientists, universities, and scientific research.

 

In 1993, an American biotechnology company and a French genetics lab developed a collaborative research plan to search for diabetes genes. But just as the project was to begin, the French government called it to a halt, barring the laboratory from sharing something never previously thought of as a commodity unto itself: French DNA.

As it becomes impossible to imagine a world without a World Wide Web, information organization, delivery, and production have converged on the simple principle of marking up information for given audiences.

From A to investigates the relationship between media and culture by articulating questions regarding the role of markup. How do the codes of HTML, CSS, PHP, and other markup languages affect the Web's everyday uses? How do these languages shape the Web's communicative functions? This novel inquiry positions markup as the basis of our cultural, rhetorical, and communicative understanding of the Web.

Contributors: Sarah J. Arroyo, CSU Long Beach; Jennifer L. Bay, Purdue U; Helen J. Burgess, U of Maryland, Baltimore County; Michelle Glaros, Centenary College of Louisiana; Matthew K. Gold, NYCC of Technology; Cynthia Haynes, Clemson U; Rudy McDaniel, U of Central Florida; Colleen A. Reilly, UNC, Wilmington; Thomas Rickert, Purdue U; Brendan Riley, Columbia College Chicago; Sae Lynne Schatz, U of Central Florida; Bob Whipple, Creighton U; Brian Willems, U of Split, Croatia.

For the past fifty years, science and technology—supported with billions of dollars from the U.S. government—have advanced at a rate that would once have seemed miraculous, while society's problems have grown more intractable, complex, and diverse. Yet scientists and politicians alike continue to prescribe more science and more technology to cure such afflictions as global climate change, natural resource depletion, overpopulation, inadequate health care, weapons proliferation, and economic inequality.

Daniel Sarewitz scrutinizes the fundamental myths that have guided the formulation of science policy for half a century—myths that serve the professional and political interests of the scientific community, but often fail to advance the interests of society as a whole. His analysis ultimately demonstrates that stronger linkages between progress in science and progress in society will require research agendas that emerge not from the intellectual momentum of science, but from the needs and goals of society.

The United States Social Science Research Council (SSRC), founded in 1923, was the first national social science institution in the world and might be said to represent the creation of a "science of society." In Fundamental Development of the Social Sciences , Donald Fisher shows how this institution, under the considerable influence of Rockefeller philanthropy, shaped an entire discipline.

Fisher demonstrates that the creation and growth of the SSRC during the 1920s and 1930s is essential to our understanding of the major developments in the social sciences since World War II. He shows that during this period, the place of social science and social scientists in American society was fixed in a way that has had substantial, lasting impact.

The author weaves a number of larger, related issues into his account of the wide-ranging influence of the SSRC: the role of social scientists in the political life of the societies in which they live; the way in which knowledge systems develop and change; the role of philanthropy in industrialized societies; and the formation and preservation of the modern capitalist state.

Donald Fisher's discussion of how an American institution sculpted an entire discipline will be of interest to all social scientists and historians of social science.

In Fungible Life Aihwa Ong explores the dynamic world of cutting-edge bioscience research, offering critical insights into the complex ways Asian bioscientific worlds and cosmopolitan sciences are entangled in a tropical environment brimming with the threat of emergent diseases. At biomedical centers in Singapore and China scientists map genetic variants, disease risks, and biomarkers, mobilizing ethnicized "Asian" bodies and health data for genomic research. Their differentiation between Chinese, Indian, and Malay DNA makes fungible Singapore's ethnic-stratified databases that come to "represent" majority populations in Asia. By deploying genomic science as a public good, researchers reconfigure the relationships between objects, peoples, and spaces, thus rendering "Asia" itself as a shifting entity. In Ong's analysis, Asia emerges as a richly layered mode of entanglements, where the population's genetic pasts, anxieties and hopes, shared genetic weaknesses, and embattled genetic futures intersect. Furthermore, her illustration of the contrasting methods and goals of the Biopolis biomedical center in Singapore and BGI Genomics in China raises questions about the future direction of cosmopolitan science in Asia and beyond.

In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrument—the variable, which establishes only the positions of cases relative to each other, with a precise one—degree of membership in a well-defined set.

Ragin argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible. They let quantitative researchers abandon "homogenizing assumptions" about cases and causes, they extend diversity-oriented research strategies, and they provide a powerful connection between theory and data analysis. Most important, fuzzy sets can be carefully tailored to fit evolving theoretical concepts, sharpening quantitative tools with in-depth knowledge gained through qualitative, case-oriented inquiry. This book will revolutionize research methods not only in sociology, political science, and anthropology but in any field of inquiry dealing with complex patterns of causation.