Browsing by Author "Goni, Julian Inaki"

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    An experiential account of a large-scale interdisciplinary data analysis of public engagement
    (2023) Goni, Julian Inaki; Fuentes, Claudio; Paz Raveau, Maria
    This article presents our experience as a multidisciplinary team systematizing and analyzing the transcripts from a large-scale (1.775 conversations) series of conversations about Chile's future. This project called "Tenemos Que Hablar de Chile" [We have to talk about Chile] gathered more than 8000 people from all municipalities, achieving gender, age, and educational parity. In this sense, this article takes an experiential approach to describe how certain interdisciplinary methodological decisions were made. We sought to apply analytical variables derived from social science theories and operationalize them through modern linguistics to guide a more theoretically informed natural language processing. The analysis was divided into three stages: (1) a descriptive analysis adapting descriptions of computational grounded theory, (2) a futurization analysis operationalizing concepts from futures studies, and (3) an argumentative analysis operationalizing concepts from argumentation theory. Overall, our methodological experimentation shed light on potential learnings for integrating a multidisciplinary perspective on NLP analysis with sensitive social content. Firstly, we developed a strategy for translation of knowledge based on the construction of what we called "analytical categories" in which a normative expectation or descriptive dimension was identified in the body of literature, operationalized through linguistics, and programmed in Python or R. Ultimately, we seek to reflect on the importance interdisciplinarity not only as means to find new analysis ideas but rather, to incorporate the critical, political and epistemological points of view to understand analysis as complex socio-technical processes.
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    Analytical categories to describe imaginations about the collective futures: From theory to linguistics to computational analysis
    (2024) Goni, Julian Inaki; Raveau, Maria Paz; Bravo, Claudio Fuentes
    Anticipation of collective futures has been described as one of the most critical challenges of contemporary societies. Imaginations or images of the collective future are a form of narrative and social activity that involves many complex political, psychological and cultural nuances that pose significant challenges in terms of assessment. In this article, we propose six analytical categories to describe qualitative information regarding imaginations about the collective futures. These categories reflect a conceptual integration of normative stances in Science, Technology and Society and capacity approaches to Futures Studies. We translated those analytical categories into grammatical markers that allow for their operationalisation. Using a large-scale participatory process in Chile aimed at systematising images of the future, we utilised Natural Language Process to transform the grammatical markers into computational codes that allowed us to automatically assess large amounts of qualitative data. Ultimately, our main argument is that analytical categories to describe imaginations about collective futures can be generated with reasonable foundations in the humanities and social sciences.