Couch Revisited: A Theoretical Treatment of The Information‐Technological Media of Imgur,Reddit, and Twitter

In this paper, I argue that unique locations of digital interactions constitute distinct information‐technological media. I first apply a close reading of Couch's ( 1995a ) work to digital sociology, and then analyze three popular social media networks: www.Imgur.com , www.Reddit.com , and www.Twitter.com . I close with a theoretical application of Couch's paradigm for analyzing the qualities of information technologies.     

Sociality enhances birds’ capacity to deal with anthropogenic ecosystems

Urban species often adjust their behavior to survive in urban environments, characterized by the proximity of humans, habitat fragmentation and heterogeneous, fluctuating ecological resources. Several hypotheses have been put forth to explain how species manage living in heterogeneous and complex anthropogenic habitats. The ability of individuals or species to beneficially modify their behaviors in response to changes in the environment has indeed been alternatively explained based on phylogenetic, adaptive, and ontogenic arguments. In this study we investigated the role of sociality as a driver of behavioural flexibility in urban birds. Sociality can be defined as the tendency to associate with conspecifics or form a group and may influence a species’ ability to survive in an urban ecosystem to the extent that it represents advantages to species or individuals in terms of resource exploitation, fitness, and predation risk-avoidance. Given the potential benefits of sociality we hypothesized that sociality is a further characteristic that may explain how species have successfully expanded their range into urbanized areas. Based on this hypothesis, we predicted that pigeons (Columba livia) will show higher behavioural flexibility when in larger groups, whatever their genetic background and living-circumstances. Using pigeons as a model system, we compared 27 groups in France and Italy composed of four different genetic strains and varying living-conditions: free-living feral pigeons in urban areas, free-living domestic pigeons at the property of a local breeder captive, feral pigeons in a French ecological field station, captive domestic pigeons in an Italian ecological station. We tested two standardized behavioral measures of behavioural flexibility: thresholds for fear or neophobia and rates of problem solving. We found that group number affects neophobia and to a lesser extent problem-solving, suggesting that sociality is a factor enhancing birds’ faculties to establish in and cope with heterogeneous urban environments. We consider this hypothesis here as compatible and complementary to existing hypotheses on species’ adaptation to urban ecosystems.     

Conservative Apostles of Objectivity and the Myth of a “Liberal Bias” in Science

An article recently published in The American Sociologist argued that social scientists are biased because of their liberal views, and that this social activism might in turn explain the growing distrust of conservatives in the scientific community observed in the General Social Survey. Although I do agree that social scientists in the United States are mostly liberal, which is hard to contest given the accumulated evidence, this does not necessarily mean that liberal scientists are biased. It is one thing to adopt liberal views, but it is quite another to let these views distort scientific productions to the point that they are not scientific anymore. Since no systematic evidence currently exists to support this claim, the “liberal bias” remains a myth. Moreover, the authors do not report any statistical correlation between the purported increase in social scientists’ activism and conservatives’ growing distrust in science, let alone a causal relationship. I hypothesize that the authors, as conservatives, are more concerned with liberalism than with the politicization of science per se, and that their critics are aimed at challenging liberals’ domination within academia by depicting liberal scholars as pseudo-scientists.     

Analysing domestic activity to reduce household energy consumption

This paper presents our reflections on the issue of behavioral change according to energy conservation constraints and on the status of sustainability in the design of ambient interactive systems at home. We point out how ergonomics contributes to the study of human factors underlying energy consumption. Relating to situated cognition and human computer interaction, our approach relies both on the ergonomic evaluation of feedback consumption displays and on the modeling of domestic activities in order to identify household concerns in real settings. We present empirical results to illustrate this global approach. The results of those studies allow the design of interactive systems: informative and pedagogical systems as well as pervasive and adaptive ambient systems. In our approach, sustainability is taken into account as a design criterion, as security could be, whereas the main design purpose is to aid households in their daily life in order to build a "sustainable situation".     

Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA

We propose a new optimization approach based on DC (Difference of Convex functions) programming and DCA (DC Algorithm) to the so-called Minimum M-Dominating Set problem in graphs. This problem is beforehand re-casted as a polyhedral DC program with the help of exact penalty in DC programming. The related DCA is original and computer efficient because it consists of solving a few linear programs and converges after a finite number of iterations to an integer solution while working in a continuous domain. Numerical simulations show the efficiency and robustness of DCA and its superiority with respect to standard methods.     

A multi-city epidemic model

Some analytical results are given for a model that describes the propagation of a disease in a population of individuals who travel between n cities. The model is formulated as a system of 2n 2 ordinary differential equations, with terms accounting for disease transmission, recovery, birth, death, and travel between cities. The mobility component is represented as a directed graph with cities as vertices and arcs determined by outgoing (or return) travel. An explicit formula that can be used to compute the basic reproduction number, {\cal R}_0 , is obtained, and explicit bounds on {\cal R}_0 are determined in the case of homogeneous contacts between individuals within each city. Numerical simulations indicate that {\cal R}_0 is a sharp threshold, with the disease dying out if {\cal R}_0 1 .     

Free Personal Care in Scotland: A Narrative Review

The advent of free personal care for older people was a definingmoment in the development of UK political devolution. Afterall the controversy surrounding the 1999 Royal Commission onLong Term Care, Scotland’s decision to implement the mainrecommendations of the Sutherland Committee was a decisive breakfrom Whitehall’s approach and seemed to offer a key opportunityto learn from the implications of this policy for an Englishcontext. Against this background, this paper summarizes theorigins, nature and impact of free personal care, providinga narrative review of the policy to date.     

Mexican American birthweight and child overweight: unraveling a possible early life course health transition

Mexican American children have a weight distribution that categorizes them as relatively healthy at birth but relatively unhealthy by age 3. This early life course transition in health based on weight raises the question of whether Mexican American children "outgrow" the epidemiologic paradox of favorable birth outcomes despite social disadvantage or whether their birthweight distribution places them on trajectory for overweight in childhood. We address this question using newly available 9-year follow-up data from the Fragile Families and Child Wellbeing birth cohort study linked to pre-natal medical records. We systematically investigate the roles of birthweight, pre-natal factors, and childhood factors in explaining racial/ethnic differences in childhood overweight. Our main finding is that Mexican American children do outgrow the paradox: Their rates of childhood overweight are higher than expected given their birthweight distribution. Observed pre-natal and childhood factors do not explain the elevated rates of overweight among Mexican American children.     

Why the Extractive Industry Should Support Mandatory Transparency: A Shared Value Approach

The Transparency Amendment, included in the Dodd‐Frank Wall Street Reform and Consumer Protection Act, can be an important tool in curtailing the resource curse that so heavily burdens resource‐rich developing countries by shedding light on opaque payments between the extractive sector and host countries. From the get‐go, however, extractive industry companies have fiercely opposed the new mandatory disclosure requirements as set out in this regulation. The corporate opposition is for the largest part motivated by the fear of a competitive disadvantage that derives from the fact that the amendment is housed with the Securities and Exchange Commission (SEC) and thus only holds jurisdiction over those that report to the SEC. Although on the one hand watering down these corporate fears, this article draws on the “shared value approach” and empirical evidence to argue that there is a business case for transparency. This refreshing take on transparency regulation invites corporate leaders to reassess their current oppositional stance and to embrace new initiatives like the Transparency Amendment and to take a proactive stance in building a convincing global regulatory system of transparency.     

Sequential design of computer experiments for the estimation of a probability of failure

This paper deals with the problem of estimating the volume of the excursion set of a function f:ℝ ^d →ℝ above a given threshold, under a probability measure on ℝ ^d that is assumed to be known. In the industrial world, this corresponds to the problem of estimating a probability of failure of a system. When only an expensive-to-simulate model of the system is available, the budget for simulations is usually severely limited and therefore classical Monte Carlo methods ought to be avoided. One of the main contributions of this article is to derive SUR (stepwise uncertainty reduction) strategies from a Bayesian formulation of the problem of estimating a probability of failure. These sequential strategies use a Gaussian process model of f and aim at performing evaluations of f as efficiently as possible to infer the value of the probability of failure. We compare these strategies to other strategies also based on a Gaussian process model for estimating a probability of failure.