Bibliography

Teleoscope is supported by a variety of computational systems. At its core, Teleoscope is a:

We use a large variety of frameworks in Teleoscope. Here are the most important:

We draw a lot of our research values from qualitative methods, particularly thematic analysis as articulated by Braun and Clarke:

Braun, V., & Clarke, V. (2012). Thematic analysis. 
In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.)
APA handbook of research methods in psychology, Vol. 2. 
Research designs: Quantitative, qualitative, neuropsychological, and biological (pp. 57–71). 
American Psychological Association. https://doi.org/10.1037/13620-004

In the visualization and data sense-making world, Berret and Munzner:

@misc{berret2024icebergsensemakingprocessmodel,
      title={Iceberg Sensemaking: A Process Model for Critical Data Analysis and Visualization}, 
      author={Charles Berret and Tamara Munzner},
      year={2024},
      eprint={2204.04758},
      archivePrefix={arXiv},
      primaryClass={cs.HC},
      url={https://arxiv.org/abs/2204.04758}, 
}

@book{munzner2014visualization,
  title={Visualization analysis and design},
  author={Munzner, Tamara},
  year={2014},
  publisher={CRC press}
}

and Chen et al:

Nan-Chen Chen, Margaret Drouhard, Rafal Kocielnik, Jina Suh, and Cecilia R. Aragon. 2018. 
Using Machine Learning to Support Qualitative Coding in Social Science: Shifting the Focus to Ambiguity. 
ACM Trans. Interact. Intell. Syst. 8, 2, Article 9 (June 2018), 20 pages. https://doi.org/10.1145/3185515

Our full bibliography is available in our pre-print.

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