Women's Empowerment, Development Interventions and the Management of Information Flows

This article takes gender inequalities in the distribution of power as its point of departure. Given the widespread evidence of the extent to which women, particularly poor women, have been marginalised in processes by which development policies are designed and implemented, it suggests that explicit attention needs to be given to strengthening women's capacity for voice and action at different stages of the planning cycle. In particular, there are certain ‘critical moments’ in the life of any intervention when the ideas, values and knowledge of key decision?making actors have a profound impact on how the intervention plays out in practice. The article sets out to develop a theory of change that addresses the issue of women's empowerment. It applies this theory to the critical moments framework. Finally, it draws on case studies of interventions funded by the Bill & Melinda Gates Foundation to illustrate key lessons for their transformative potential for women's empowerment

Water quality and its interlinkages with the Sustainable Development Goals

Interlinkages among the Sustainable Development Goals (SDGs) lead to important trade-offs and synergies among the goals and their underlying targets. The aim of this paper is to review the role of water quality as an agent of interlinkages among the SDGs. It was found that there are a small number of explicit interconnections, but many more inferred interlinkages between water quality and various targets. A review of case studies showed that interlinkages operate from the municipal to near global scales, that their importance is likely to increase in developing countries, and that new SDG indicators are needed to monitor them. The analysis identifies many different SDG target areas where a combined effort between the water quality community and other sectors would bring mutual benefits in achieving the water quality and other targets

Impaired Flexible Reward-Based Decision-Making in Binge Eating Disorder: Evidence from Computational Modeling and Functional Neuroimaging

Despite its clinical relevance and the recent recognition as a diagnostic category in the DSM-5, binge eating disorder (BED) has rarely been investigated from a cognitive neuroscientific perspective targeting a more precise neurocognitive profiling of the disorder. BED patients suffer from a lack of behavioral control during recurrent binge eating episodes and thus fail to adapt their behavior in the face of negative consequences, eg, high risk for obesity. To examine impairments in flexible reward-based decision-making, we exposed BED patients (n=22) and matched healthy individuals (n=22) to a reward-guided decision-making task during functional resonance imaging (fMRI). Performing fMRI analysis informed via computational modeling of choice behavior, we were able to identify specific signatures of altered decision-making in BED. On the behavioral level, we observed impaired behavioral adaptation in BED, which was due to enhanced switching behavior, a putative deficit in striking a balance between exploration and exploitation appropriately. This was accompanied by diminished activation related to exploratory decisions in the anterior insula/ventro-lateral prefrontal cortex. Moreover, although so-called model-free reward prediction errors remained intact, representation of ventro-medial prefrontal learning signatures, incorporating inference on unchosen options, was reduced in BED, which was associated with successful decision-making in the task. On the basis of a computational psychiatry account, the presented findings contribute to defining a neurocognitive phenotype of BED