Assessing the implementation and influence of policies that support research and innovation systems for health: the cases of Mozambique, Senegal, and Tanzania

Background Without good policies it will be difficult to provide guidance to research and innovation systems. However, policies need to be followed through and implemented to have the desired effect. We studied the policies and strategies in place to support research and innovation systems for health in Mozambique, Senegal, and Tanzania, and looked at the extent to which these policies and strategies have been implemented. Methods We reviewed documents and reports and conducted in-depth interviews with 16 key informants representing various actors of the national research for health systems. Results The results illustrate that there are various policies and strategies governing research and innovation for health in the three countries. However, implementation of these policies and strategies is generally rated as being poor. The reasons highlighted for this include lack of policy coherence, lack of enforcement and accountability mechanisms, and a lack of financing for implementing the policies. These contextual factors seem to be of such importance that even the increased stakeholder involvement and political leadership, as mentioned by the interviewees, cannot guarantee policy implementation. Conclusions We conclude that due to the contextual realities of the study countries, there is need for greater focus on policy implementation than on developing additional policies. Government institutions should play a central role in all stages of the policy process, and should ensure implementation of defined policies. Strong mechanisms, including financing, that strengthen the position and role of government in policy coordination and the oversight of the policy process will help increase efficient and impactful implementation of research and innovation for health policies

Evolutionary modelling of the macro-economic impacts of catastrophic flood events

This paper examines the possible contribution of evolutionary economics to macro-economic modelling of flood impacts to provide guidance for future economic risk modelling. Most macro-economic models start from a neoclassical economic perspective and focus on equilibrium outcomes, either in a static or dynamic way, and describe economic processes at a high level of aggregation. As a consequence, they typically fail to account for the complexity of social interactions and other behavioural responses of consumers and producers to disasters, which may affect the macroeconomic impacts of floods. Employing evolutionary principles and methods, such as agent-based modelling, may help to address some of the shortcomings of current macro-economic models. We explore and discuss the implications of applying consumer and producer heterogeneity, bounded rationality, network effects, social and technological learning, co-evolution and adaptive policy-making concepts into existing economic frameworks for the assessment of macro-economic impacts of floods. (authors' abstract

Dynamic change of global and local information processing in Propofol-induced loss and recovery of consciousness

Whether unique to humans or not, consciousness is a central aspect of our experience of the world. The neural fingerprint of this experience, however, remains one of the least understood aspects of the human brain. In this paper we employ graph-theoretic measures and support vector machine classification to assess, in 12 healthy volunteers, the dynamic reconfiguration of functional connectivity during wakefulness, propofol-induced sedation and loss of consciousness, and the recovery of wakefulness. Our main findings, based on resting-state fMRI, are three-fold. First, we find that propofol-induced anesthesia does not bear differently on long-range versus short-range connections. Second, our multi-stage design dissociated an initial phase of thalamo-cortical and cortico-cortical hyperconnectivity, present during sedation, from a phase of cortico-cortical hypoconnectivity, apparent during loss of consciousness. Finally, we show that while clustering is increased during loss of consciousness, as recently suggested, it also remains significantly elevated during wakefulness recovery. Conversely, the characteristic path length of brain networks (i.e., the average functional distance between any two regions of the brain) appears significantly increased only during loss of consciousness, marking a decrease of global information-processing efficiency uniquely associated with unconsciousness. These findings suggest that propofol-induced loss of consciousness is mainly tied to cortico-cortical and not thalamo-cortical mechanisms, and that decreased efficiency of information flow is the main feature differentiating the conscious from the unconscious brain

Innovating through Clusters

This paper focuses on innovation performance and investigates the impact of clusters, or localized networks involving industrial, academic and institutional players, in the pharmaceutical setting; we aim to enrich the line of inquiry into cluster-based innovation by applying a social network analysis (SNA) approach. The cluster concept has been defined in ambiguous ways, corresponding to a large variety of spatial and organizational concrete configurations. By analysing the U.S. pharmaceutical context, we show the structural and nodal network characteristics of the clusters and we shed some light on the “small-world” effects of the structural holes