12. Towards a Reflexive Digital Data Analysis

Es, Karin van; Coombs, Nicolás López; Boeschoten, Thomas

doi:10.1515/9789048531011-015

Cited by 3 publications

(4 citation statements)

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“…Martinho (2018) further points out that “visualization becomes a research routine, compensating for the lack of a theoretical framework by reinforcing technological and methodological procedures [… and] produces an effect of naivety” (266). Finally, van Es et al, 2017 stressed the necessity to overcome “the blind optimism and faith in the objective quantification,” imposed by data visualization by facilitating more critical interventions in the research process (171).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the project “Deep Mapping” incorporated elements of a “reflexive design” (Meyer and Dykes, 2019; Van Es et al, 2017). Embracing the subjective nature of data visualization was essential for this project, given its situated and collaborative nature as industry-engaged research.…”

Section: Introductionmentioning

confidence: 99%

“…It adopted various perspectives to “support multiple meaningful interpretations that are nuanced and situated” (Sein et al, 2011: 38). Such a recursive and reflexive design enabled an adoption of new forms of empiricism that acknowledges the limits of “oligoptic view” that any data visualization produces (Kitchin, 2014; Van Es et al, 2017). For example, a close collaboration with the Australian Urban Research Infrastructure Network (AURIN) helped to establish access to data as well as its contextual details and provenance information related to the intricacies of statistical geographic hierarchies, naming conventions and algorithms of data aggregation.…”

Section: Introductionmentioning

confidence: 99%

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Beyond the scorecard diplomacy: From soft power rankings to critical inductive geography

Grincheva

2022

Convergence: The International Journal of Research into New Med

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The article interrogates if data visualization, despite its inherited subjectivity, can be used not only as a tool for data representation but also as a research platform to facilitate an iterative exploratory process to identify new themes, raise new questions, and generate new knowledge. It addresses this task by pursuing a twofold research goal. On the one hand, it confirms previous findings that have documented the political power of data visualization specifically in the field of scorecard diplomacy. It critically discusses Portland Soft Power 30 Index that measures soft power of selected countries on the annual basis to reveal how the scorecard diplomacy works through the ranking dashboard. On the other hand, the article reflects on the experience of designing a geo-visualization system that, by contrast, intended to overcome shortcomings of data visualization’s politics to build a platform for an inductive academic research. It discusses a new deep mapping framework of soft power visualization that intended to address several critical problems of Portland’s measurements and shares research insights from the project “Deep Mapping: Creating a Dynamic Web Application Museum Soft Power Map.”

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Beyond the scorecard diplomacy: From soft power rankings to critical inductive geography

Grincheva

2022

Convergence: The International Journal of Research into New Med

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“…With this relatively new reliance and use of tools, digital humanities scholars find themselves in the position of having to consider their relation to these tools. As Van Es & Schäfer [36] note elsewhere "[m]edia scholars in particular are well equipped to scrutinize processes of mediatisation and as such have much to offer into the critical inquiry into knowledge technologies". The unique position of humanities scholars as new tool users, coupled with their traditional of critical engagement with media practices, afford insights relevant to disciplines within and outside of the humanities: for scholars and scientists alike.…”

Section: Introductionmentioning

confidence: 99%

Tool Criticism

Wieringa

Schäfer

2018

Proceedings of the 2nd International Conference on Web Studies

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While the use of tools is not new for the sciences, the, traditionally, qualitative research methods driven humanities were using tools scarcely. The increasing use of computer-aided methods within the humanities has been summarized as 'computational turn ' [36], digital humanities [4,7], eResearch [25] and/or eHumanities [41]. In the Humanities, scholars are in the unique position to actively question the relatively new role and influence of tools on research. Such reflection, however, need not be limited to the Humanities, but holds value for both scholars and scientists. Digital tools and data have changed the production of knowledge [22,26,34]. Although there has been attention to biases in digital tools, discussions have been scattered not only across monographs, articles and book chapters lacking a proper label, but also tend to remain in their respective academic bubbles. Different methods have emerged, each embedded in their own fields. In this paper we reflect on the novel practices of digital methods and data analysis in the humanities and discuss the epistemic impact of knowledge technology, more generally. Consequently, this paper argues for the development of a rigorous inquiry into the tools used for research to be an essential element of the overall research process. We dub this enquiry 'tool criticism'. Tool criticism paves the way to move from digital methods [32,33] to 'digital methodology'. CCS CONCEPTS• Human-centered computing → Collaborative and social computing design and evaluation methods; • General and reference → Reliability;

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Mapping Affinities in Academic Organizations

Rodighiero

Kaplan

Beaude

2018

Front. Res. Metr. Anal.

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Scholarly affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, and therefore do not leave visible traces in information systems; for instance, some peers may share interests without actually knowing it. This article illustrates the development of a map of affinities for academic collectives, designed to be relevant to three audiences: the management, the scholars themselves, and the external public. Our case study involves the School of Architecture, Civil and Environmental Engineering of EPFL, hereinafter ENAC. The school consists of around 1,000 scholars, 70 laboratories, and 3 institutes. The actual affinities are modeled using the data available from the information systems reporting publications, teaching, and advising scholars, whereas the potential affinities are addressed through text mining of the publications. The major challenge for designing such a map is to represent the multi-dimensionality and multi-scale nature of the information. The affinities are not limited to the computation of heterogeneous sources of information; they also apply at different scales. The map, thus, shows local affinities inside a given laboratory, as well as global affinities among laboratories. This article presents a graphical grammar to represent affinities. Its effectiveness is illustrated by two actualizations of the design proposal: an interactive online system in which the map can be parameterized, and a large-scale carpet of 250 square meters. In both cases, we discuss how the materiality influences the representation of data, in particular the way key questions could be appropriately addressed considering the three target audiences: the insights gained by the management and their consequences in terms of governance, the understanding of the scholars' own positioning in the academic group in order to foster opportunities for new collaborations and, eventually, the interpretation of the structure from a general public to evaluate the relevance of the tool for external communication.

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12. Towards a Reflexive Digital Data Analysis

Cited by 3 publications

References 0 publications

Beyond the scorecard diplomacy: From soft power rankings to critical inductive geography

Beyond the scorecard diplomacy: From soft power rankings to critical inductive geography

Tool Criticism

Mapping Affinities in Academic Organizations

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