An adaptive sequential Monte Carlo method for approximate Bayesian computation

Approximate Bayesian computation (ABC) is a popular approach to address inference problems where the likelihood function is intractable, or expensive to calculate. To improve over Markov chain Monte Carlo (MCMC) implementations of ABC, the use of sequential Monte Carlo (SMC) methods has recently been suggested. Most effective SMC algorithms that are currently available for ABC have a computational complexity that is quadratic in the number of Monte Carlo samples (Beaumont et al., Biometrika 86:983?C990, 2009; Peters et al., Technical report, 2008; Toni et al., J.?Roy. Soc. Interface 6:187?C202, 2009) and require the careful choice of simulation parameters. In this article an adaptive SMC algorithm is proposed which admits a computational complexity that is linear in the number of samples and adaptively determines the simulation parameters. We demonstrate our algorithm on a toy example and on a birth-death-mutation model arising in epidemiology.     

L’astronomie française à la Belle Époque. Professionnalisation d’une activité scientifique

This article describes the way French astronomy developed in the Belle Époque (ca. 1880-1914). It identifies and accounts for the specificities of a scientific practice, which, up until now, has been misrepresented in the history of science. We show how the practice of astronomy was rationalized by rigid procedures and integrated by a scientific-bureaucratic regime of activity. Established in state observatories (for example, the Paris Observatory), this regime defined astronomy as a professional activity practiced by a group of “workers” of the sky. Finally, the analysis of the regime enables us to shed a light on the process by which the cognitive content of the discipline of astronomy, the institutional framework constituted by the state observatories, and the group of professional astronomers all interacted and were indeed co-constructed.     

Battles through and about statistics in French pay equity bargaining: The politics of quantification at workplace level

This article proposes to study the discreet ‘battles of numbers’ at workplace level, particularly exacerbated on pay equity, in relation to its potential additional costs for employers. Figures are at once a framework, an object and a resource for power struggles between social partners. This approach is inspired by ‘statactivism’, a research perspective that studies the ways and contexts in which statistics can become tools for social mobilization. In a European context where bargaining is increasingly decentralized to company level, we argue that researchers should pay attention to statistical resources and quantification skills of negotiators, both on the management and unions side. They should also include in their analytical framework the influence of experts and specialists who advise social partners on how to strategically produce and use gender‐sensitive statistics. In this article, two case studies allow us to open the ‘black box’ of equality bargaining, revealing challenges and controversies of gender pay reporting.     

Risk Target: An Interactive Context Factor in Risk Perception

The effect of specification of the target on risk evaluation was examined. A whole set of hazards, covering most of the domains, were considered: common individual hazards, outdoor activities, medical care, public transportation, energy production, pollutants, sex, deviance, and addictions. Three human targets were introduced: personal health risk (including personal risk of death), health risk for people in the country, and health risk for people in the world. The basic design was a between-subjects design. The first hypothesis was that risk judgments made in the "world" condition should be higher than risk judgments made in the "country" condition, and risk judgments made in this condition should be higher than risk judgments made in the "personal" condition. This is what was observed. The second hypothesis was that the target effect should differ as a function of the kind of hazards considered. This also is what was observed. In two domains--pollutants, and deviance, sex, and addictions--the target effect was important. It corresponded to about one-tenth of the response scale. In the four remaining domains, the target effect was unimportant or absent.     

With Great Data Comes Great Responsibility: How Data Science Can Be Applied to Solve Public Interest Problems Without Losing Its Soul

ABSTRACT

Data science has had a tremendous impact in the private sector and is increasingly being applied in the public sector. The Data for Good Exchange (D4GX) is an annual conference centered on these novel problems and applications. This article describes the history of the conference and introduces a selection of the best papers from the 2017 conference that focus on human services.     

A Prophet in his Hometown? the Academic Reception of Thomas Piketty’s “Capital in the Twenty-First Century” Across Disciplines in France and in the United States

This article analyzes the reception of Thomas Piketty’s “Capital in the twenty-first century” from September 2013 to June 2015 in France, where it was first released, and in the United States, by academics who come from a variety of disciplines. We discuss the “spontaneous sociology” offered by some of the actors of this reception and analyze, using their remarks as a starting point, the major predictors of the content of an academic review of Piketty. Our results highlight the strong effect of passing time on the content of the reviews – three clear phases can be identified in the reception of the book showing a “proteus effect” pattern. They also emphasize the importance of understanding how academic disciplines structure the debate – much more so than the country of residence. In fact, most of the opinions academics express on Piketty’s book are tied to their departmental affiliations. We look at how this link articulates the intellectual structures of the disciplines with field theory. Our results suggest a strong autonomy of the social scientific field from more general public concerns.