China and the Different Regional Approaches in Africa

African countries have a tiny share in the international economy and are not able to play more than a small role in the International Relations arena. Nevertheless, major players are looking at Africa with a renewed interest and, among them, China seems to have the most dynamic approach in order to catch-up with other nations and upgrade relations with African countries. However, the EU is also carrying on its new strategy toward parts of Africa. In these world powers strategies, multiple approaches related to subregions exist, instead of a single regional approach. The objective of this paper is to have a closer look and to analyze how the different regions and major nations of Africa Western Africa, Egypt, Eastern Africa and South Africa) are dealing with their economic and political development path and their interconnection with other areas of the World, with an important focus on China-Africa relations.

Fiducial inference in combining expert judgements

In the expert use problem, hierarchical models provide an ideal perspective for classifying understanding and generalising the aggregative algoithms suitable to compose experts' opinions in a single synthesis distribution. After suggesting to look at Peter A. Morris' (1971, 1974, 1977) Bayesian model in such a light, this paper addresses the problem of modelling the multidimensional ‘performance function’, which encodes aggregator's beliefs about each expert's assessment ability and the degree of dependence among the experts. Whenever the aggregator has not an empirically founded probability distribution for the experts' performances, the proposed fiducial procedure provides a rational and very flexible tool for enabling the performance function to be specified with a relatively small number of assessments: moreover, it warrants aggregator's beliefs about the experts in terms of personal long run frequencies.     

Analyse visuelle e représentation de la réalité

The author's objective is to establish a relationship between the theoretical structure at the basis of a qualitative sociological analysis and the forms of visual representation of social reality, such as photography and social documentaries. Visual material becomes an object of analysis when it refers to a society that talks about itself and when it reproduces a reality which it records and makes nameable. The theme of observation is characterized by a complex activity in which perception, imagination, and representation are different functions from the sociological point of view, yet strongly connected because they make it possible for the researcher to interact visually with social reality. Observation procedures ask sociologists to have an eye capable of recognizing and perceiving in a representative way the experiences they have lived and the social facts they have observed and described. These must be portrayed not only as suggestive visual metaphors, but also as a consequence of ‘sensitive hearing’ which is essential in all research phases, from anthropology to ethnography and sociology.     

(Micro)mobility,disability and resilience: exploring well-being among youth with physical disabilities

This paper explores the daily (micro)mobilities that youth with a visual or auditory impairment use to sustain well-being. Geographical research suggests that mobility is a universal phenomenon referred to the capacity to navigate one’s way through different spaces and places. Using a qualitative cross-cultural, visual methods approach to research with vulnerable youth, including four participants with visual or auditory impairments, we demonstrate that everyday patterns of (micro)mobilities through the youth’s home, school and community help disabled youth create pathways to resilience. The implications of these findings are discussed in relation to services that promote resilience against ableist beliefs.     

The Global Compact for Migration: what could it mean for women and gender relations?

ABSTRACT

Under half of international migrants throughout the world are women. While large movements of people, human rights and humanitarian crises, and migrant deaths are not new, the public attention given to the arrivals of refugees and migrants to the shores of Europe has compelled governments to engage in a multilateral manner. In September 2016, the United Nations General Assembly held its first-ever summit dedicated to large movements of refugees and migrants, reaffirming the importance of existing legal instruments to protect refugees and migrants, and also foreseeing the development of two new Global Compacts: one on refugees, and the other for safe, orderly and regular migration. This article examines the process to elaborate the Global Compact for Safe, Orderly and Regular Migration from a gender-responsive perspective. It takes into consideration the advocacy role that the Women in Migration Network and other civil society stakeholders have played in its development, identifies the various opportunities and gaps within the Global Compact, and explores how women’s organisations and development organisations can promote change for women in migration under the new Global Compact.     

Measuring the impact of the Web: Rasch modelling for survey evaluation

In 2012, the World Wide Web Foundation launched for the first time the Web Index (WI), which combines the existing secondary data with new primary data to rank countries according to their progress and use of the Web. Primary data are gathered via a multi-country specifically designed questionnaire. The aim of our analysis is (1) to evaluate the measurement properties of the expert assessment survey and to provide survey designers with some insights into possible problematic questions and/or unexpectedly behaving countries and (2) to assess the experts’ perception of the state and the value of the Web. To do so the Rating Scale Rasch model is employed. Results show that about 10% of survey questions are detected as misfitting and need to be reworded. Possible reasons are: counter-orientation with respect to the WI polarity, difficulty in understanding the question's words or binary instead of the multiple response scale. Country analysis shows that no country can be considered as an outlier due to notable unexpected pattern of answers. Since the survey is to be expanded in future editions of the WI, the results of our analysis are very important in pin-pointing the questions most in need of refinement for the next edition of the Index.     

Object-Oriented Bayesian Networks for Modeling the Respondent Measurement Error

In this article, Object-Oriented Bayesian Networks (OOBN) are proposed as a tool to model measurement errors in a categorical variable due to respondent. A mixed measurement error model is presented and an OOBN implementing such a model is introduced. The insertion of evidence represented by the observed value and its propagation throughout the network yields for each unit the probability distribution of the true value given the observed. Two methods are used to predict the individual true value and their performance is evaluated via simulation.     

Hierarchical Bayesian Models for the Estimation of Correlated Effects in Multilevel Data: A Simulation Study to Assess Model Performance

In this article, we aim at assessing hierarchical Bayesian modeling for the analysis of multiple exposures and highly correlated effects in a multilevel setting. We exploit an artificial data set to apply our method and show the gains in the final estimates of the crucial parameters. As a motivating example to simulate data, we consider a real prospective cohort study designed to investigate the association of dietary exposures with the occurrence of colon-rectum cancer in a multilevel framework, where, e.g., individuals have been enrolled from different countries or cities. We rely on the presence of some additional information suitable to mediate the final effects of the exposures and to be arranged in a level-2 regression to model similarities among the parameters of interest (e.g., data on the nutrient compositions for each dietary item).     

Parameterized complexity of k-anonymity: hardness and tractability

The problem of publishing personal data without giving up privacy is becoming increasingly important. A precise formalization that has been recently proposed is the k-anonymity, where the rows of a table are partitioned into clusters of sizes at least k and all rows in a cluster become the same tuple after the suppression of some entries. The natural optimization problem, where the goal is to minimize the number of suppressed entries, is hard even when the stored values are over a binary alphabet or the table consists of a bounded number of columns. In this paper we study how the complexity of the problem is influenced by different parameters. First we show that the problem is W[1]-hard when parameterized by the value of the solution (and k). Then we exhibit a fixed-parameter algorithm when the problem is parameterized by the number of columns and the number of different values in any column. Finally, we prove that k-anonymity is still APX-hard even when restricting to instances with 3 columns and k=3.     

Estimand framework: Are we asking the right questions? A case study in the solid tumor setting

The estimand framework requires a precise definition of the clinical question of interest (the estimand) as different ways of accounting for “intercurrent” events post randomization may result in different scientific questions. The initiation of subsequent therapy is common in oncology clinical trials and is considered an intercurrent event if the start of such therapy occurs prior to a recurrence or progression event. Three possible ways to account for this intercurrent event in the analysis are to censor at initiation, consider recurrence or progression events (including death) that occur before and after the initiation of subsequent therapy, or consider the start of subsequent therapy as an event in and of itself. The new estimand framework clarifies that these analyses address different questions (“does the drug delay recurrence if no patient had received subsequent therapy?” vs “does the drug delay recurrence with or without subsequent therapy?” vs “does the drug delay recurrence or start of subsequent therapy?”). The framework facilitates discussions during clinical trial planning and design to ensure alignment between the key question of interest, the analysis, and interpretation. This article is a result of a cross-industry collaboration to connect the International Council for Harmonisation E9 addendum concepts to applications. Data from previously reported randomized phase 3 studies in the renal cell carcinoma setting are used to consider common intercurrent events in solid tumor studies, and to illustrate different scientific questions and the consequences of the estimand choice for study design, data collection, analysis, and interpretation.