<i>SDR</i>Querier: A Visual Querying Framework for Cross-National Survey Data Recycling

Tu, Yamei; Li, Olga; Wang, Junpeng; Shen, Han‐Wei; Powałko, Przemek; Tomescu-Dubrow, Irina; Slomczynski, Kazimierz M.; Blanas, Spyros; Jenkins, J. Craig

doi:10.1109/tvcg.2023.3261944

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Cited by 2 publications

References 27 publications

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Harmonization for Cross‐National Secondary Analysis: Survey Data Recycling

Tomescu‐Dubrow,

Slomczynski,

Wysmulek

et al. 2023

Survey Data Harmonization in the Social Sciences

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Harmonization for Cross‐National Secondary Analysis: Survey Data Recycling

Tomescu‐Dubrow,

Slomczynski,

Wysmulek

et al. 2023

Survey Data Harmonization in the Social Sciences

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Foundation models meet visualizations: Challenges and opportunities

Yang,

Liu,

Wang

et al. 2024

Comp. Visual Media

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Recent studies have indicated that foundation models, such as BERT and GPT, excel at adapting to various downstream tasks. This adaptability has made them a dominant force in building artificial intelligence (AI) systems. Moreover, a new research paradigm has emerged as visualization techniques are incorporated into these models. This study divides these intersections into two research areas: visualization for foundation model (VIS4FM) and foundation model for visualization (FM4VIS). In terms of VIS4FM, we explore the primary role of visualizations in understanding, refining, and evaluating these intricate foundation models. VIS4FM addresses the pressing need for transparency, explainability, fairness, and robustness. Conversely, in terms of FM4VIS, we highlight how foundation models can be used to advance the visualization field itself. The intersection of foundation models with visualizations is promising but also introduces a set of challenges. By highlighting these challenges and promising opportunities, this study aims to provide a starting point for the continued exploration of this research avenue.

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SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling

Cited by 2 publications

References 27 publications

Harmonization for Cross‐National Secondary Analysis: Survey Data Recycling

Harmonization for Cross‐National Secondary Analysis: Survey Data Recycling

Foundation models meet visualizations: Challenges and opportunities

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