Article published In:
Information Visualization
Edited by Isabel Meirelles, Marian Dörk and Yanni Loukissas
[Information Design Journal 27:1] 2022
► pp. 2134
References

Bibliography

– American Museum of Natural History (2022) Collectionscope [JavaScript]. [URL] (Original work published 2020)
Barabási, A.-L., Bello, M., Kluge-Fabényi, J., Forde, K., Készman, J., Meirelles, I., Ratti, C. G., Ritchie, M., & Szántó, A. (2020) Hidden patterns: Visualizing networks at BarabásiLab (A. Stang & P. Weibel, Eds.). Hatje Cantz Verlag.Google Scholar
Benedetti, A. (2022, January 5). Browsing and visualizing collections of images. [URL]
Birkle, C., & Däwes, B. (2019) “Old media don’t go away, they mutate”: An interview with Jeffrey Schnapp. Amerikastudien/American Studies, 64 (1), 111–125. DOI logoGoogle Scholar
Bludau, M.-J., Dörk, M., & Heidmann, F. (2021) Relational perspectives as situated visualizations of art collections. Digital Scholarship in the Humanities, 36 (Supplement_2), ii17–ii29. DOI logoGoogle Scholar
Börner, K., Maltese, A., Balliet, R. N., & Heimlich, J. (2016) Investigating aspects of data visualization literacy using 20 information visualizations and 273 science museum visitors. Information Visualization, 15 (3), 198–213. DOI logoGoogle Scholar
Bostock, M., Ogievetsky, V., & Heer, J. (2011) D3: Data-Driven Documents. IEEE Transactions on Visualization and Computer Graphics, 17 (12), 2301–2309. DOI logoGoogle Scholar
Champion, E. M. (2016) Digital humanities is text heavy, visualization light, and simulation poor. Digital Scholarship in the Humanities, i25–i32. DOI logoGoogle Scholar
Crawford, K., & Paglen, T. (2019) Excavating AI: the politics of images in machine learning training sets. AI Now Institute. [URL]
Crockett, D. (2019) IVPY: iconographic visualization inside computational notebooks. International Journal for Digital Art History, 4 1, 3.60–3.79. DOI logoGoogle Scholar
Cuno, J. B. (Ed.) (1996) Harvard’s art museums: 100 years of collecting. Harvard University Museums.Google Scholar
Danchilla, B. (2012) Beginning WebGL for HTML5. Apress. DOI logoGoogle Scholar
Derry, L., Kruguer, J., Muelle, M., & Schnapp, J. (2022) Designing a choreographic interface during covid-19. Movement and Computing Conference. DOI logoGoogle Scholar
Diagne, C., Barradeau, N., & Doury, S. (2018) T-SNE Map. Experiments with Google. [URL]
DiMaggio, P., & Hargittai, E. (2001) From the “digital divide” to “digital inequality”: Studying internet use as penetration increases. Center for Arts and Cultural Policy Studies, Princeton University.Google Scholar
Drucker, J. (2013) Performative materiality and theoretical approaches to interface. Digital Humanities Quarterly, 7 (1). [URL]
Duhaime, D. (2021) PixPlot. Yale Digital Humanities Lab. [URL] (Original work published 2017)
Foster, H. (2011) The art-architecture complex. Verso.Google Scholar
Geismar, H. (2018) Museum object lessons for the digital age. UCL Press. DOI logoGoogle Scholar
– Harvard Art Museums (2012) International Image Interoperability Framework at Harvard University. [URL]
Impett, L., & Moretti, F. (2017) Totentanz. Operationalizing Aby Warburg’s Pathosformeln. New Left Review, 107 1, 68–97.Google Scholar
Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014) ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PLoS ONE, 9 (6), e98679. DOI logoGoogle Scholar
Jodidio, P. (2014) Piano: Renzo Piano building workshop, complete works, 1966-today. Taschen.Google Scholar
Karjus, A., Solà, M. C., Ohm, T., Ahnert, S. E., & Schich, M. (2022) Compression ensembles quantify aesthetic complexity and the evolution of visual art. DOI logoGoogle Scholar
Kenderdine, S., Mason, I., & Hibberd, L. (2021) Computational archives for experimental museology, 3–18. DOI logoGoogle Scholar
Klinke, H. (2021, October 28). V-lab workshop: Visual analysis in cultural data – image plots and t-SNE maps made easy. History of Art Department. [URL]
Kräutli, F. (2016) Visualising cultural data: Exploring digital collections through timeline visualisations. Royal College of Art.Google Scholar
Latour, B. (1988) The pasteurization of France (A. Sheridan & J. Law, Trans.; English edition). Harvard University Press.Google Scholar
Lima, M. (2011) Visual complexity: Mapping patterns of information. Princeton Architectural Press.Google Scholar
Maaten, L. van der, & Hinton, G. (2008) Visualizing data using t-SNE. Journal of Machine Learning Research, 9 (86), 2579–2605. [URL]
Maizels, M., & Qiu, C. (Eds.) (2020) Curatorial A(i)gents. metaLAB (at) Harvard. [URL]
Manovich, L. (2008) Data visualization as new abstraction and anti-sublime. In B. Hawk, D. M. Rieder, & O. O. Oviedo (Eds.), Small tech: The culture of digital tools. University of Minnesota Press.Google Scholar
Manovich, L. (2020) Cultural analytics. MIT Press. DOI logoGoogle Scholar
Manzini, E. (2016) Design culture and dialogic design. Design Issues, 32 (1), 52–59. DOI logoGoogle Scholar
McCully, E. A. (2019) Dreaming in code: Ada Byron Lovelace, computer pioneer. Candlewick Press.Google Scholar
McInnes, L., Healy, J., & Melville, J. (2018) UMAP: Uniform Manifold Approximation and Projection for dimension reduction. ArXiv.Org, stat.ML. [URL]
– metaLAB (2022) MetaLAB (at) Harvard & FU Berlin. [URL]
Moon, C. Y. E., & Rodighiero, D. (2020) Mapping as a contemporary instrument for orientation in conferences. Atti Del IX Convegno Annuale AIUCD. La Svolta Inevitabile: Sfide e Prospettive per l’informatica Umanistica. DOI logoGoogle Scholar
O’Shea, K., & Nash, R. (2015) An introduction to convolutional neural networks. ArXiv:1511.08458 [Cs]. [URL]
Pietsch, C. (2022) VIKUS viewer [JavaScript]. [URL] (Original work published 2018)
Rodighiero, D. (2021a) Mapping affinities: Democratizing data visualization (Open-access English edition). Métis Presses. DOI logoGoogle Scholar
Rodighiero, D. (2021b, August 18). Ars memorativa as the genesis of information design: A conversation with Manuel Lima. Nightingale. [URL]. DOI logo
Rodighiero, D., Wandl-Vogt, E., & Carsenat, E. (2021) Making visible the invisible work of scientists during the Covid-19 pandemic. Visual Culture Studies, 2 1. DOI logoGoogle Scholar
Rodighiero, D., Wandl-Vogt, E., & Carsenat, E. (2022) A visual translation of the pandemic. Leonardo, 55 (3). DOI logoGoogle Scholar
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A. C., & Fei-Fei, L. (2015) Imagenet large scale visual recognition challenge. ArXiv:1409.0575 [Cs]. [URL]. DOI logo
Seguin, B. (2018) The Replica project: Building a visual search engine for art historians. XRDS: Crossroads, The ACM Magazine for Students, 24 (3), 24–29. DOI logoGoogle Scholar
Steward, J. (2021) API documentation. Harvard Art Museums. [URL] (Original work published 2015)
Turing, A. M. (1950) Computing machinery and intelligence. Mind, LIX (236), 433–460. DOI logoGoogle Scholar
Vane, O. (2019) Timeline design for visualising cultural heritage data. Royal College of Art.Google Scholar
Weaver, W. (1948) Science and complexity. American Scientist, 36 (4), 536–544. JSTOR. [URL]