Aronova, von Oertzen, and Sepkoski’s “Introduction” provides a comprehensive foundation from which to discuss Big Data, computers, and science. In their writing, they reflect critically on the legal, ethical, and political implications of today’s information technologies and the high value it places on data. They ask, then, “what is the source of the new value?”[1] By illustrating how the collection of large data was not invented by computers but in fact has a long epistemological history, the authors argue for a more encompassing historiographies of data, science, and computers that include the natural, social, and human sciences.

In their volume, Aronova et al. also question the emergence of a “new elite.” Safiya Noble’s article, “The Future of Knowledge in the Public,” takes issue with these new elites and argues for studying the social context of those who organize information online. As example, Noble discusses how systems of organization inherit their creators’ assumptions, like the classification of people as “illegal aliens” in a library system. D’Ignazio & Klein also wrestle with the difficulties of classifications in their work, “What Gets Counted Counts.” In it, they examine the online classification of gender, using Facebook as a particularly strong example.

In her “Conclusion” to Programmed Inequality, Marie Hicks too investigates gender inequalities in the technology field. Using gender as a historical analysis, Hicks shows the absence of women who defied technological change and who shaped key technologies. The piece concludes by stating that “the process of rendering invisible certain categories of workers” aligned with the nation building project.[2] Such unequal relationships of power are also evident in Bailey & Gossett’s chapter “Analog Girls in Digital Worlds.” While similarly concerned with gender, their chapter renders visible the intersectionalities of race, class, and sexuality within the digital humanities. Bailey’s section, especially, explores the relationship between academia and non-academic digital spaces, including the value and usefulness of both spaces.

The power imbalance in the digital sphere is also evident in the pieces by Kimberly Christen, Joanna Radin, and Roopika Risam, who all examine the legacies of colonialism and indigeneity in the digital world. Risam questions how the digital humanities have contributed to the epistemic violence of colonialism and neo-colonialism, and suggests some methods of decolonizing, for example, by focusing on the local context. When researchers take data out of context, as we see in Radin’s piece, it can lead to profound negative consequences. Additionally, Christen shows how the utopian ideal of the digital “openness” disregards the cultural, social, and historical conditions of oppression that native peoples have endured.

Lara Putnam’s “The Transnational and the Text-Searchable” provides further insight into historical and digital research praxis. Rather than focusing on data mining, Putnam highlights how historians use digital methods for “finding and finding out,”[3] and the consequences of some of the physical and geographic spaces of archives. This change has affected the “peripheral vision” and social interactions scholars experience in the physical archive. Although digitization has weakened some traditional barriers, Putnam concludes, the benefits may be canceled out by superficiality and new blind spots.

In all, the readings for the past two weeks illustrate the subjectivity of socio-technical systems, which are often flaunted as egalitarian, neutral, and liberating. Though the authors provide a wide range of considerations, the literature revolves around the North American and European experiences. What new insights might we encounter concerning data, the digital, gender, and race with voices trained in and hailing from South America, Africa, or South or East Asia?

[1] Aronova, et al., 4.

[2] Hicks, 238.

[3] Putnam, 378.

2 thoughts on “Reflections on the Overview

  1. Great summaries, Jim! You show yourself very adept in the extraction of the main theme from an article. So…I’d like to encourage you to use this space to practice your powers of synthesis a bit more than I see here. I’m less saying “you should have done more synthesis” as I am saying, “You clearly have the summary thing down, how about working towards syntheses as well?” In what ways do you see these readings coming together in a way that is meaningful _for you?_ What are the themes that intrigue you in particular and how can you draw them out from the readings while expressing to me how you might also implement your ideas in practice? Like I’ve mentioned to a number of your colleagues, I don’t need you to feel that your job is to develop a fully-formed “Sauls’ Philosophy of Data” by the end of the course, but taking a stance in this domain involves (among other things) practice synthesizing other authors’ ideas in the context of your own. What, for you, are the ramifications of the last paragraph you offer here? Can data even be liberating given that it has its basis in simplification by the powerful and abstract categorizations by the elite?

  2. Thank you for your comments and prompts, Alison. Concerning your last two questions, I was thinking along the lines of decentering the North Atlantic experience and trying to avoid the sense of universalism that Big Data tends to elicit, and against which the articles are arguing. For my research in Latin America, the experience of classifying people based on race has a long and complicated history in both Spanish and Portuguese empires… I wonder how researchers in LA approach topics of race, data, and digital. When I have time (ha?!) I would be interested in exploring that. I know in history (as pointed out in Putnam’s piece), there is discussion about who can and cannot be found in digitized archives (for example in my research, Ben Cowan’s “A Passive Homosexual Element” Digitized Archives and the Policing of Homosex in Cold War Brazil” [Radical History Review, 2014] that discusses how searching for certain terms re-enforces the process of “othering” and contributes to emphasizing pejorative terms of queer individuals – so interesting!).

    Likewise, I am admittedly ignorant of similar conversations in other “high tech” countries, specifically Japan, China, and India. What sort of similar conversations (if any) are they having around the growth of digital processes and representation?

    All the best.

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