17 research outputs found

    Assistants, Guides, Collaborators, Friends: The Concealed Figures of Conflict Research

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    Recent scholarship has demonstrated an increasing awareness of the need for more grounded, empirical research into the micro-level dynamics of violent contexts. Research in these difficult, dangerous, and potentially violent conflict or post-conflict settings necessitates the formation of new relationships of dependency, and assistants, friends, collaborators, and guides become central figures in the field. However, all too often, these figures are written out of academic accounts and silenced in our analyses. This not only does them a significant disservice, but it also obscures potential biases, complexities, and ethical dilemmas that emerge in the way in which such research is carried out. Drawing upon fieldwork exploring the 2007–2008 Kenyan postelection violence, this paper argues that reliance upon insider-assistants is essential in conflict settings and explores the challenges inherent in these relationships. As researchers become increasingly engaged in micro-level studies of violent contexts, we must interrogate the realities of how our knowledge has been produced and engage in more open and honest discussions of the methodological and ethical challenges of conflict research

    Ethics, empathy and fear in research on violent conflict

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    The discussion of ethics in the social sciences focuses on ‘doing no harm’ and ‘giving back’ to research participants, but does not explore the challenges of empathy and fear in research with participants in political violence and war. Drawing on 180 in-depth interviews on the Georgian-Abkhaz war of 1992-1993 collected over eight months between 2010 and 2013 primarily in Abkhazia, but also Georgia and Russia, I argue that researchers can come to empathize with some but fear other participants in past and present violence. These emotional responses can influence researchers’ ability to probe and interpret interviews and respondents’ ability to surpass strong positions to explore dilemmas of participation in violence. By empathizing with not only ‘victims’ and ‘non-fighters’ as I had expected based on my pre-existing moral-conceptual categories, but also participants in the war, I found that individuals adopted multiple overlapping roles and shifted between these roles in the changing conditions of violence. In contrast, failing to empathize with and fearing those who continued to participate in violence at the time of my interviews limited my ability to fully appreciate the complexity of their participation, but shed light on the context of violence in contemporary Abkhazia. This analysis shows that reflection on the role of empathy and fear in shaping our interactions with research participants can help advance our understanding of participation in violence and this difficult research context

    Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

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    Changes in blood flow velocity and distribution are vital in maintaining tissue and organ perfusion in response to varying cellular needs. Further, appearance of defects in microcirculation can be a primary indicator in the development of multiple pathologies. Advances in optical imaging have made intravital microscopy (IVM) a practical approach, permitting imaging at the cellular and subcellular level in live animals at high-speed over time. Yet, despite the importance of maintaining adequate tissue perfusion, spatial and temporal variability in capillary flow is seldom documented. In the standard approach, a small number of capillary segments are chosen for imaging over a limited time. To comprehensively quantify capillary flow in an unbiased way we developed Spatial Temporal Analysis of Fieldwise Flow (STAFF), a macro for FIJI open-source image analysis software. Using high-speed image sequences of full fields of blood flow within capillaries, STAFF produces images that represent motion over time called kymographs for every time interval for every vascular segment. From the kymographs STAFF calculates velocities from the distance that red blood cells move over time, and outputs the velocity data as a sequence of color-coded spatial maps for visualization and tabular output for quantitative analyses. In normal mouse livers, STAFF analyses quantified profound differences in flow velocity between pericentral and periportal regions within lobules. Even more unexpected are the differences in flow velocity seen between sinusoids that are side by side and fluctuations seen within individual vascular segments over seconds. STAFF is a powerful new tool capable of providing novel insights by enabling measurement of the complex spatiotemporal dynamics of capillary flow
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