Moments of Uncertainty: Ethical Considerations and Emerging Contaminants

Science on emerging environmental health threats involves numerous ethical concerns related to scientific uncertainty about conducting, interpreting, communicating, and acting upon research findings, but the connections between ethical decision making and scientific uncertainty are under‐studied in sociology. Under conditions of scientific uncertainty, researcher conduct is not fully prescribed by formal ethical codes of conduct, increasing the importance of ethical reflection by researchers, conflicts over research conduct, and reliance on informal ethical standards. This article draws on in‐depth interviews with scientists, regulators, activists, industry representatives, and fire safety experts to explore ethical considerations of moments of uncertainty using a case study of flame retardants, chemicals widely used in consumer products with potential negative health and environmental impacts. We focus on the uncertainty that arises in measuring people's exposure to these chemicals through testing of their personal environments or bodies. We identify four sources of ethical concerns relevant to scientific uncertainty: 1) choosing research questions or methods, 2) interpreting scientific results, 3) communicating results to multiple publics, and 4) applying results for policy making. This research offers lessons about professional conduct under conditions of uncertainty, ethical research practice, democratization of scientific knowledge, and science's impact on policy.     

The relationship between unit diversity and perceptions of organizational performance in the military

Structural equation modeling techniques are used to examine the relationship between demographic diversity and perceptions of organizational performance in military units. Analyzing data from the Military Equal Opportunity Climate Survey reveals higher female and minority representation reduces females’ and minorities’ perceptions of organizational effectiveness, respectively. Identical factors appear to influence the perceptions of organizational performance across these two subgroups of employees. The results demonstrate the importance of conducting separate analyses for subgroups in examining the effects of demographic diversity on organizational performance.     

From Picas to Pixels: Life in the Trenches of Print and Web Publishing: An Interview with Rick and Andy Alfaro,Editors of FILE Magazine

Abstract

“They Might Be Giants” gets a facelift, tackles a new medium and welcomes a co-editor. Michael Brown and Jessica Teeter bring you this first installment of “From Picas to Pixels: Life in the Trenches of Print and Web Publishing.” This installment features an interview with the publishers of a Web magazine called FILE Magazine, A Collection of Unexpected Photography.     

COOPERATION IN PUBLIC GOODS GAMES PREDICTS BEHAVIOR IN INCENTIVE-MATCHED BINARY DILEMMAS: EVIDENCE FOR STABLE PROSOCIALITY

We report the results of an experiment in which subjects completed second mover public goods game tasks and second mover binary social dilemma tasks. Each task was completed under three different incentive structures which were matched across tasks. The use of nonlinear incentive structures, along with a novel categorization method, allowed us to identify behavioral subtypes that cannot be distinguished using conventional linear incentive structures. We also examined how well behavior could be predicted across tasks. Subjects' average conditional cooperation levels showed significant cross-task predictability and stability. However, almost a third of responses (28%) demonstrated unambiguous preference reversals across tasks. We argue that prosociality is best described as an individual-level trait, similar to risk aversion in choice under risk. (JEL C7, C91, H41)     

Mentoring,Sexual Harassment,and Black Women Academics

ABSTRACT

The #MeToo Movement both within academia and popular culture has largely been seen as an issue for white women (and men). While the phrase Me Too was originally coined by Tarana Burke in 2006 to raise public awareness of sexual harassment, violence and assault experienced by women of color, the Movement has largely been whitewashed by primarily depicting victims and survivors as white women. Black women academics, like myself, also experience sexual harassment. By highlighting the ways that race-based sexual harassment further marginalizes already underrepresented groups in political science, I use my personal story to elucidate how a gender-only lens misses the complexities of Black women’s experiences with power inequities in academia. Throughout this narrative I underscore the importance of mentorship, professional networks, and the ability to harness scholarship as a vehicle to combat the pervasiveness of sexual harassment, violence, and assault for Black women in political science.     

Bayesian compartmental model for an infectious disease with dynamic states of infection

Population-level proportions of individuals that fall at different points in the spectrum [of disease severity], from asymptomatic infection to severe disease, are often difficult to observe, but estimating these quantities can provide information about the nature and severity of the disease in a particular population. Logistic and multinomial regression techniques are often applied to infectious disease modeling of large populations and are suited to identifying variables associated with a particular disease or disease state. However, they are less appropriate for estimating infection state prevalence over time because they do not naturally accommodate known disease dynamics like duration of time an individual is infectious, heterogeneity in the risk of acquiring infection, and patterns of seasonality. We propose a Bayesian compartmental model to estimate latent infection state prevalence over time that easily incorporates known disease dynamics. We demonstrate how and why a stochastic compartmental model is a better approach for determining infection state proportions than multinomial regression is by using a novel method for estimating Bayes factors for models with high-dimensional parameter spaces. We provide an example using visceral leishmaniasis in Brazil and present an empirically-adjusted reproductive number for the infection.     

Engaging with Parents in Child and Adolescent Mental Health Services

This paper asks the question: How can child and adolescent mental health clinicians constructively engage parents as a resource in the young person's treatment? It draws from qualitative research data that explore parents' experience of their involvement in their adolescent's mental health treatment program. The paper especially focuses on challenges for clinicians in engaging with parents as part of the treatment program for young people. Clinicians' input about their perceptions of interacting with parents is utilised alongside parents' experiences of their involvement in clinical processes. The clinician data revealed key challenges were managing their reactions to parent defensiveness; broadening the focus from just alleviating symptoms in the young person; not taking sides with the young person; and resisting becoming an expert instructor. The paper discusses Murray Bowen's original family research about engaging parents in treatment with the symptom bearer and addresses how clinicians can build a positive alliance with parents that avoids blame while constructively opening exploration of the family relationship process as part of a collaborative approach.     

FORECASTING WITH SOCIAL MEDIA: EVIDENCE FROM TWEETS ON SOCCER MATCHES

Social media is now used as a forecasting tool by a variety of firms and agencies. But how useful are such data in forecasting outcomes? Can social media add any information to that produced by a prediction/betting market? We source 13.8 million posts from Twitter, and combine them with contemporaneous Betfair betting prices, to forecast the outcomes of English Premier League soccer matches as they unfold. Using a microblogging dictionary to analyze the content of Tweets, we find that the aggregate tone of Tweets contains significant information not in betting prices, particularly in the immediate aftermath of goals and red cards. (JEL G14, G17)