Examining science communication on Reddit: From an “Assembled” to a “Disassembling” approach

This study examines science communication within Ask Me Anything sessions hosted by US National Oceanic and Atmospheric Administration scientists on Reddit. In addition to considering a unique social media platform, our work makes an important contribution in revealing the limitations of a traditional approach to studying science communication and modeling an alternative. First, using an “assembled” approach, we qualitatively explore themes in National Oceanic and Atmospheric Administration scientists’ posts and consider how they reflect the goals of “deficit” and “dialogue” models. Second, using a “disassembling” approach, inspired by Davies and Horst and actor-network theory, we more deeply examine our experiences studying the Ask Me Anything sessions. We then demonstrate how this alternative approach identifies “hidden” human and non-human actants that may have shaped science communication as “mediators.” We use these insights to reject the common assumption that science communication on social media occurs solely and directly between scientists and publics.

Creating and Managing EU Funded Research Networks: An Exploratory Case

The collaborative European funded research and development landscape drives competitiveness among innovative organisations. Recently it has seen the rise of public private partnerships significantly impacting the dynamics of these networks. Thus, the complexity of managing research networks has intensified with the increased diversity of research network members. Additionally, the emergence of the academic entrepreneur has augmented the focus of educational institutions to include innovation and building start-up organisations. The impact of research is scalable if an optimum research network is created and managed effectively. This paper investigates network embeddedness; the nature of relationships, links and nodes within a research network, specifically their structure, configuration and quality. The contribution of this paper extends our understanding for establishing and maintaining effective collaborative research networks. The effects of network embeddedness are recognized in the literature as pertinent to innovation and the economy. Network theory literature claims that networks are essential to innovative clusters such as Silicon valley and innovation in high tech industries. The concept of embeddedness is what differentiates network theory from economic theory. This study adopts a qualitative approach and uncovers some of the challenges of multi-disciplinary research through case study insights. One challenge is competition between network members over ownership and sharing of data. The contribution of this paper recommends the establishment of scaffolding to accommodate cooperation in research networks, role appointment, and addressing contextual complexities early to avoid problem cultivation. Furthermore, it suggests recommendations in relation to network formation, incubation and operations. The network capability is enhanced by the recognition of network theory, open innovation and social exchange with the understanding that the network structure has an impact on innovation and social exchange in research networks and subsequently on research output. The research concludes that the success of collaborative research is reliant upon establishing a common language and understanding between network members to realise their research objectives.

Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts

This paper introduces a methodology to evaluate the socio-economic impacts of closure for maintenance of one or more infrastructures of a large and complex road network. Motivated by a collaboration with Regione Lombardia, we focus on a subset of bridges in the region, although we aim at developing a method scalable to all road infrastructures of the regional network, consisting of more than 10,000 tunnels, bridges and overpasses. The final aim of the endeavor is to help decision-makers in prioritizing their interventions for maintaining and repairing infrastructure segments. We develop two different levels of impact assessment, both providing a unique global score for each bridge closure and investigating its spatio-temporal effects on mobility. We take advantage of a functional data analysis approach enhanced by a complex network theory perspective, thus modelling the roads of Lombardy as a network in which weights attributed to the edges are functional data. Results reveal the most critical bridges of Lombardy; moreover, for each bridge closure, the most impactful hours of the day and the most impacted municipalities of the region are identified. The proposed approach develops a flexible and scalable method for monitoring infrastructures of large and complex road networks.

Postmodern Philosophy as a Condition for the Emergence of Posthumanism Theory

The article presents a brief retrospective of the conceptions of philosophical postmodernism in their connection with posthumanism. Posthumanism is a philosophical movement that has been actively developed in the last decade, with its roots in the 60s and 70s of continental philosophy. The discourse of posthumanism implies work and development of conceptions and notions used by M. Foucault, J. Derrida, J. Deleuze and F. Guattari, R. Barthes and others. Connecting with such philosophical trends as disability studies, animal studies, postcolonial philosophy, actor-network theory, intersectional feminism, posthumanism expands, complements and reincarnates many provisions of postmodern philosophy. This article outlines the main concepts used in posthumanist discourse.

Signal denoising through topographic modularity of neural circuits

Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, the extent to which it influences cortical processing is unclear. In this study, we combine cortical circuit modeling with network theory to demonstrate that the sharpness of topographic projections acts as a bifurcation parameter, controlling the macroscopic dynamics and representational precision across a modular network. By shifting the balance of excitation and inhibition, topographic modularity gradually increases task performance and improves the signal-to-noise ratio across the system. We show that this is a robust and generic structural feature that enables a broad range of behaviorally-relevant operating regimes, and provide an in-depth theoretical analysis unravelling the dynamical principles underlying the mechanism.

Spread of variants of epidemic disease based on the microscopic numerical simulations on networks

Viruses constantly undergo mutations with genomic changes. The propagation of variants of viruses is an interesting problem. We perform numerical simulations of the microscopic epidemic model based on network theory for the spread of variants. Assume that a small number of individuals infected with the variant are added to widespread infection with the original virus. When a highly infectious variant that is more transmissible than the original lineage is added, the variant spreads quickly to the wide space. On the other hand, if the infectivity is about the same as that of the original virus, the infection will not spread. The rate of spread is not linear as a function of the infection strength but increases non-linearly. This cannot be explained by the compartmental model of epidemiology but can be understood in terms of the dynamic absorbing state known from the contact process.

Analysis of the Twitter discourse in the 2019 electoral debates in Spain: a comparative algorithmic study

This article analyzes and compares the following of Twitter users during the two electoral debates of the general elections in Spain in April and November 2019. Through the collection of the official hashtags #ElDebateDecisivo (970,706 tweets) and #DebateElectoral (821,521) respectively from 9 am on the day of the debate until 2 am the following day, we analyzed the polarity and basic emotions of the messages posted on the social network using algorithms with R software. A network theory study was also carried out to determine each account’s affiliation to each group. The results show a polarization in the network, with well-defined groups with hardly any relationship with other groups of different ideologies. It is also observed that the entry of a new player, Vox, into the second debate completely alters the rest of the center-right parties, which end up seeing it from a much more negative perspective. This entry does not involve major changes among the left-wing parties, but it does mean an increase in fear.

Resilience of Social-Infrastructural Systems: Functional Interdependencies Analysis

Critical infrastructures serve human activities and play an essential role in societies. Infrastructural systems are not isolated but are interdependent with regard to social systems, including those of public health and economic and sustainable development. In recent years, both social and infrastructural systems have frequently been in dysfunction due to increasing natural or human-made disasters and due to the internal and external dependencies between system components. The interconnectedness between social-infrastructural systems (socio-economic systems and technical-infrastructural systems), implies that the damage to one single system can extend beyond its scope. For that reason, cascading dysfunction can occur and increase system vulnerability. This article aims to study the functional interdependencies between social-infrastructural systems and to propose a methodology to analyse and improve the resilience of these systems. Combining Actor Network Theory and the Functional Models approach, the social-infrastructural Interdependence Resilience (SIIR) framework was proposed. To assess the applicability of the approach, the framework was applied to study the interdependence of a social-infrastructural system in the Nantes Metropolis. The studied system was composed of the local Highway Infrastructure (an infrastructural system) and the Emergency Medical Service (a social system). The results (1) show the feasibility of SIIR for investigating the interdependencies of two urban systems, and (2) provide a guideline for decision-makers to improve the functional interdependencies of urban systems.

Design for poverty alleviation and craft revitalization in rural China from an actor-network perspective: the case of bamboo-weaving in Shengzhou

Design for poverty alleviation (DPA) is becoming an active promoter and effective practice form of rural social innovation. This study aims to explore the sustainable, collaborative design path of rural poverty alleviation. Based on actor network theory, this study analyzes the poverty alleviation process of rural actor network construction and participatory translation through the perspective of design integration. The case study chooses the traditional Chinese handicraft, Shengzhou bamboo weaving, to discuss the key links and elements of sustainability such as the role, benefits, and interaction of multiple actors. The staged effectiveness and social impact of the design integration are evaluated by questionnaire surveys, in-depth interviews, qualitative and quantitative data collections, a logistic regression model was used to test for significant effects while adjusting for multiple factors simultaneously. The analysis shows that although DPA is difficult to realize the fundamental adjustment of the rights and interests of rural craftsmen, it plays a key role in guiding the development of industrial goals, expected economic and social benefits, brings huge driving force and implementation effect to rural social innovation. The actor network theory solves the problem of separation between the individual and network attributes of DPA among stakeholders, and provides an innovative basis for rural social innovation to choose effective design intervention and mechanisms to balance the rights and interests of various stakeholders.