4,602 research outputs found

    Information actors beyond modernity and coloniality in times of climate change:A comparative design ethnography on the making of monitors for sustainable futures in Curaçao and Amsterdam, between 2019-2022

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    In his dissertation, Mr. Goilo developed a cutting-edge theoretical framework for an Anthropology of Information. This study compares information in the context of modernity in Amsterdam and coloniality in Curaçao through the making process of monitors and develops five ways to understand how information can act towards sustainable futures. The research also discusses how the two contexts, that is modernity and coloniality, have been in informational symbiosis for centuries which is producing negative informational side effects within the age of the Anthropocene. By exploring the modernity-coloniality symbiosis of information, the author explains how scholars, policymakers, and data-analysts can act through historical and structural roots of contemporary global inequities related to the production and distribution of information. Ultimately, the five theses propose conditions towards the collective production of knowledge towards a more sustainable planet

    The effects of attachment insecurity and cognitive flexibility on mentalization in psychotherapists

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    The wounded healer concept suggests that one\u27s therapeutic ability is rooted in one\u27s own experiences of pain and suffering. The present study used this concept as a theoretical framework from which to explore issues related to therapist insecure attachment and therapist skill. It examined the role of therapist cognitive flexibility in the relationship between therapist attachment insecurity and therapist mentalization capacity. Participants were 158 therapists from different clinical fields of study and varying levels of clinical experience who completed an online protocol. Results indicated that avoidant attachment negatively predicted mentalization capacity, validating in a therapist sample what previous studies have demonstrated with non-therapist samples. Additionally, results showed that when therapists’ self-reported cognitive flexibility was high, the relationship between attachment anxiety and mentalization was negative, such that as attachment anxiety increased, mentalization capacity decreased. This was contrary to expectations. Finally, correlations revealed no relationships among a self-report, a neuropsychological, and an observer-rated measure of cognitive flexibility. This study was the first to validate the use of the Emotion Card Sort Test (ECST; Deveney & Deldin, 2006) (a modified version of the Wisconsin Card Sorting Test using emotional stimulus words) to assess cognitive flexibility in therapists. Additionally, it was the first to validate the use of the Reflective Functioning Scale (RFS; Fonagy et al., 1998) to code the Five-Minute Speech Sample (FMSS; Gottschalk & Gleser, 1969) in a therapist population. Implications for psychotherapy and psychotherapy training as well as study limitations and future directions for research are discussed

    Cultures of Citizenship in the Twenty-First Century: Literary and Cultural Perspectives on a Legal Concept

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    In the early twenty-first century, the concept of citizenship is more contested than ever. As refugees set out to cross the Mediterranean, European nation-states refer to "cultural integrity" and "immigrant inassimilability," revealing citizenship to be much more than a legal concept. The contributors to this volume take an interdisciplinary approach to considering how cultures of citizenship are being envisioned and interrogated in literary and cultural (con)texts. Through this framework, they attend to the tension between the citizen and its spectral others - a tension determined by how a country defines difference at a given moment

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    What informs a firm’s Attractiveness as an Alliance Partner? The development of a survey instrument.

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    Strategic alliances are defined as inter-organisational collaborative arrangements whose purpose is to achieve the strategic targets of partners (Das and Teng, 1998). Within the pharmaceutical industry, they represent a key form of disintegration that enables organisations to create a network based on partnerships, whereby the overarching goal is to pursue a set of agreed-upon goals, in which they share the benefits (Chen and Chen, 2002). Despite the high prevalence of strategic alliances within this industry, only 50% are considered stable or achieve performance perceived by the partners as satisfactory (McCutchen et al., 2008) and up to 70% terminate early (Kogut, 1989; Park and Russo, 1996; Park and Ungson, 1997). Nevertheless, 85% of the senior executives still believe alliances are and will continue to be essential or important to their business (Powerlinx, 2014), and as such have invested significantly in becoming attractive alliance partners, or partner of choice. Further, both conceptual and empirical evidence has signaled that a partner’s attractiveness can have significant contribution to the success of the alliance itself (Coombs and Deeds, 2000; Lee, 2007). Despite this evidence, there is no validated approach for a firm to test how attractive they are perceived to be by prospective partners. Without this, a firm is not able to tangibly understand what their perceived strengths and weaknesses are, and how these evolve over time. The purpose of this research is to address this gap. Further, the research aims to understand the impact of firm’s Alliance Strategy on their attractiveness scores. As such, this research makes three overarching and significant contributions; (1) the identification of two key antecedents of a firm’s Attractiveness as an Alliance Partner (2) the development of a self-assessment questionnaire for a firm to use in order to quantify their attractiveness, and (3) the development of research propositions for how an Alliance Strategy moderates the relationship between Attractiveness and its antecedents. This research applies Network Theory, which, in its most simple terms, refers to a firm’s relationships with others that have important and desired resources (Ireland et al., 2002). Networks promote alliance formation and firm success through ‘social capital’, described as the benefits a firm derives from their relationships (Coleman, 1988). Social capital increases in alliances with greater diversity within their networks (Baker, 2000) and with the quality of the alliances themselves (Glaister and Buckley, 1999). As such, this theory plays a key part in explaining the identified antecedents of Attractiveness - Previous Alliance Performance and Alliance Portfolio Diversity. In turn, this research extends Network Theory in two ways. Firstly, by introducing the novel concept of Attractiveness as an Alliance Partner as an indicator of a firm’s success or performance. Secondly, by introducing the novel concept of an Alliance Strategy as an important condition that will moderate a firm’s attractiveness. A mixed method approach has been used, comprising of four Empirical Studies in order to develop and finalise the research propositions and questionnaire. This research has been conducted within and for the pharmaceutical industry specifically but can be applied to other industries

    Revisiting the capitalization of public transport accessibility into residential land value: an empirical analysis drawing on Open Science

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    Background: The delivery and effective operation of public transport is fundamental for a for a transition to low-carbon emission transport systems’. However, many cities face budgetary challenges in providing and operating this type of infrastructure. Land value capture (LVC) instruments, aimed at recovering all or part of the land value uplifts triggered by actions other than the landowner, can alleviate some of this pressure. A key element of LVC lies in the increment in land value associated with a particular public action. Urban economic theory supports this idea and considers accessibility to be a core element for determining residential land value. Although the empirical literature assessing the relationship between land value increments and public transport infrastructure is vast, it often assumes homogeneous benefits and, therefore, overlooks relevant elements of accessibility. Advancements in the accessibility concept in the context of Open Science can ease the relaxation of such assumptions. Methods: This thesis draws on the case of Greater Mexico City between 2009 and 2019. It focuses on the effects of the main public transport network (MPTN) which is organised in seven temporal stages according to its expansion phases. The analysis incorporates location based accessibility measures to employment opportunities in order to assess the benefits of public transport infrastructure. It does so by making extensive use of the open-source software OpenTripPlanner for public transport route modelling (≈ 2.1 billion origin-destination routes). Potential capitalizations are assessed according to the hedonic framework. The property value data includes individual administrative mortgage records collected by the Federal Mortgage Society (≈ 800,000). The hedonic function is estimated using a variety of approaches, i.e. linear models, nonlinear models, multilevel models, and spatial multilevel models. These are estimated by the maximum likelihood and Bayesian methods. The study also examines possible spatial aggregation bias using alternative spatial aggregation schemes according to the modifiable areal unit problem (MAUP) literature. Results: The accessibility models across the various temporal stages evidence the spatial heterogeneity shaped by the MPTN in combination with land use and the individual perception of residents. This highlights the need to transition from measures that focus on the characteristics of transport infrastructure to comprehensive accessibility measures which reflect such heterogeneity. The estimated hedonic function suggests a robust, positive, and significant relationship between MPTN accessibility and residential land value in all the modelling frameworks in the presence of a variety of controls. The residential land value increases between 3.6% and 5.7% for one additional standard deviation in MPTN accessibility to employment in the final set of models. The total willingness to pay (TWTP) is considerable, ranging from 0.7 to 1.5 times the equivalent of the capital costs of the bus rapid transit Line-7 of the Metrobús system. A sensitivity analysis shows that the hedonic model estimation is sensitive to the MAUP. In addition, the use of a post code zoning scheme produces the closest results compared to the smallest spatial analytical scheme (0.5 km hexagonal grid). Conclusion: The present thesis advances the discussion on the capitalization of public transport on residential land value by adopting recent contributions from the Open Science framework. Empirically, it fills a knowledge gap given the lack of literature around this topic in this area of study. In terms of policy, the findings support LVC as a mechanism of considerable potential. Regarding fee-based LVC instruments, there are fairness issues in relation to the distribution of charges or exactions to households that could be addressed using location based measures. Furthermore, the approach developed for this analysis serves as valuable guidance for identifying sites with large potential for the implementation of development based instruments, for instance land readjustments or the sale/lease of additional development rights

    Tracking the Structure and Sentiment of Vaccination Discussions on Mumsnet

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    Vaccination is one of the most impactful healthcare interventions in terms of lives saved at a given cost, leading the anti-vaccination movement to be identified as one of the top 10 threats to global health in 2019 by the World Health Organization. This issue increased in importance during the COVID-19 pandemic where, despite good overall adherence to vaccination, specific communities still showed high rates of refusal. Online social media has been identified as a breeding ground for anti-vaccination discussions. In this work, we study how vaccination discussions are conducted in the discussion forum of Mumsnet, a United Kingdom based website aimed at parents. By representing vaccination discussions as networks of social interactions, we can apply techniques from network analysis to characterize these discussions, namely network comparison, a task aimed at quantifying similarities and differences between networks. Using network comparison based on graphlets -- small connected network subgraphs -- we show how the topological structure vaccination discussions on Mumsnet differs over time, in particular before and after COVID-19. We also perform sentiment analysis on the content of the discussions and show how the sentiment towards vaccinations changes over time. Our results highlight an association between differences in network structure and changes to sentiment, demonstrating how network comparison can be used as a tool to guide and enhance the conclusions from sentiment analysis

    Mining Butterflies in Streaming Graphs

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    This thesis introduces two main-memory systems sGrapp and sGradd for performing the fundamental analytic tasks of biclique counting and concept drift detection over a streaming graph. A data-driven heuristic is used to architect the systems. To this end, initially, the growth patterns of bipartite streaming graphs are mined and the emergence principles of streaming motifs are discovered. Next, the discovered principles are (a) explained by a graph generator called sGrow; and (b) utilized to establish the requirements for efficient, effective, explainable, and interpretable management and processing of streams. sGrow is used to benchmark stream analytics, particularly in the case of concept drift detection. sGrow displays robust realization of streaming growth patterns independent of initial conditions, scale and temporal characteristics, and model configurations. Extensive evaluations confirm the simultaneous effectiveness and efficiency of sGrapp and sGradd. sGrapp achieves mean absolute percentage error up to 0.05/0.14 for the cumulative butterfly count in streaming graphs with uniform/non-uniform temporal distribution and a processing throughput of 1.5 million data records per second. The throughput and estimation error of sGrapp are 160x higher and 0.02x lower than baselines. sGradd demonstrates an improving performance over time, achieves zero false detection rates when there is not any drift and when drift is already detected, and detects sequential drifts in zero to a few seconds after their occurrence regardless of drift intervals

    Want more WANs? Comparison of traditional and GAN-based generation of wide area network topologies via graph and performance metrics

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    Wide Area Network (WAN) research benefits from the availability of realistic network topologies, e. g., as input to simulations, emulators, or testbeds. With the rise of Machine Learning (ML) and particularly Deep Learning (DL) methods, this demand for topologies, which can be used as training data, is greater than ever. However, public datasets are limited, thus, it is promising to generate synthetic graphs with realistic properties based on real topologies for the augmentation of existing data sets. As the generation of synthetic graphs has been in the focus of researchers of various application fields since several decades, we have a variety of traditional model-dependent and model-independent graph generators at hand, as well as DL-based approaches, such as Generative Adversarial Networks (GANs). In this work, we adapt and evaluate these existing generators for the WAN use case, i. e., for generating synthetic WANs with realistic geographical distances between nodes. We investigate two approaches to improve edge weight assignments: a hierarchical graph synthesis approach, which divides the synthesis into local clusters, as well as sophisticated attributed sampling. Finally, we compare the similarity of synthetic and real WAN topologies and discuss the suitability of the generators for data augmentation in the WAN use case. For this, we utilize theoretical graph metrics, as well as practical, communication network-centric performance metrics, obtained via OMNeT++ simulation
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