capacity through care

[This is the draft of an invited contribution to a forum on “care” that will appear in Debates in the Digital Humanities 2017, edited by Matthew K. Gold and Lauren Klein. It’s a capsule summary of my NEH talk, “On Capacity and Care.” (A more digestible pill?)]

The grand challenges that face (and link) little cultures and fragile creatures across the implacable Anthropocene must be met by an academy made more capable—in every sense of that open-handed word. But our perpetually erupting anxieties about data-driven research and inquiry “at scale” seem to betray a deep-seated—and ill-timed—discomfort with the very notion of increased capacity in the humanities.

There are obvious and valid reasons for humanities scholars to be skeptical of big data analysis, distant reading, or work in the longue durée: problems of surveillance and privacy; the political ends to which data mining can be put and the systems of consumption and control in which it is complicit; intractable and cascading structural inequities in access to information; and disparities in sampling and representation, which limit the visibility of historical and present-day communities in our datasets, or filter them through a hostile lens. We can further understand and respect a discomfort with vastness in fields that have, most particularly over the past half century, focused intently on the little stuff: working in bits and bobs and “small things forgotten.”

Humanities scholars make theoretical and practical advances—including advances in the cause of social justice—by forwarding carefully observed, exquisitely described jewel-box examples. Our small data add nuance and offer counter-narratives to understandings of history and the arts that would otherwise fall along blunter lines. The finest contribution of the past several decades of humanities research has been to broaden, contextualize, and challenge canonical collections and privileged views. Scholars do this by elevating instances of neglected or alternate lived experience—singular human conditions, often revealed to reflect the mainstream.

The most compelling arguments against algorithmic visualization and analysis are not, therefore, fueled by nostalgic scholarly conservatism, but rather emerge across the political spectrum. Yet they share a common fear. Will the use of digital methods lead to an erosion of our most unique facility in the humanities, the aptitude for fine-grained and careful interpretive observation? In seeking macroscopic or synthetic views of arts and culture, will we forget to look carefully and take—or teach—care?

I see the well-established feminist ethic and praxis of care, itself, as a framework through which the digital humanities might advance in a deeply intertwingled, globalized, data-saturated age. An ethic of care—as formalized in the 1970s and ‘80s by Carol Gilligan, Nel Noddings, Joan Tronto, Virginia Held, and others—means to reorient its practitioners’ understanding in two essential ways. The first is toward a humanistic appreciation of context, interdependence, and vulnerability—of fragile, earthly things and their interrelation. The second is away from the supposedly objective evaluation and judgment of the philosophical mainstream of ethics—that is, away from criticism—and toward personal, worldly action and response. After all, the chief contribution, over prior directions in moral philosophy, of the feminist ethics of the 18th and 19th century that inform this work, was to see the self as most complete when in connection with others. Kantian morality and utilitarianism had valorized an impartial stance and posited that, as a man grew in judgment and developed ethical understanding, he separated himself from others. The mark of a fully developed (implicitly masculine) self was its ability to stand apart from and reason outside of familial systems and social bonds.

A feminist ethic of care—like many a DH research agenda or platform for large-scale visualization and analysis—seeks instead to illuminate the relationships of small components, one to another, within great systems. Noddings identifies the roots of care in what she calls engrossment: that close attention and focus on the other which provokes a productive appreciation of the standpoint or position of the cared-for person or group—or (I would say) of the qualities and affordances of an artifact, document, collection, or system requiring study or curation. Humanities scholars hone and experience engrossment in archival research and close reading. We perform it in explicating subjectivity. We reward each other for going deep. Yet one concern in the literature of care has been whether engrossment can become too intense. I believe the answer is the same for caregiving (nursing, teaching, tending, mothering, organizing) as it is for humanities scholarship. Real experts are those who manifest deep empathy, while still maintaining the level of distance necessary to perceive systemic effects and avoid projection of the self onto the other. In other words, empathetic appreciation of the positional or situated goes hand in hand with an increase in effective observational capacity. A care-filled humanities is by nature a capacious one.

To me, this suggests that a primary design desideratum for Anthropocenic DH and cultural heritage systems must be the facilitation of humanistic engrossment through digital reading (viewing, listening, sensing) and large-scale analysis. Let us build platforms that promote an understanding of the temporal vulnerability of the individual person or object; that more beautifully express the relationship of parts, one to another and to many a greater whole; and that instill, through depth of feeling in their users, an ethic of care—active, outward-facing, interdisciplinary, and expansive: sufficient to our daunting futures and broadened scope.

hallowmas

[Trigger warning: miscarriage.]

Ten years ago today, I lost the baby that might have come after my son, and not between him and my daughter, but instead of her. How can I be sad, when such a child is in the world? But grief doesn’t work like that. I fucking hate Halloween. I hide it from the kids, but have hated it for nine years. I hate All Saints’ Day, too. This is the tenth Hallowmas I’ve had occasion to hate — All Saints’ to All Souls, día de los Muertos, de los Inocentes. Angelitos.

Looking back, though, there were sweet things even then. My boy was two. He had been a pirate the night before, with an eyepatch I’d made, and a tinfoil dagger. On November 1st and 2nd he was still wobbling around the house chanting his botched catchphrase: “Shiver my noodle!” And all the costumes and candy and autumn leaves since.

About a month ago, I started steeling myself, as usual, and realized I was feeling better. I thought, “Ten years! Maybe that’s a coin you toss in: the TPQ for getting-over-it.” Now of course the day is here, and I’m thinking this is less like stratigraphy and more like carbon dating. Is there a half life for this crap?

Losing a little, wriggling germ of potential can be incredibly lonely. You go from future to now, and us to awful me in an instant. I can’t even imagine the earth-stopping grief that must attend a stillbirth or the death of a child. But with a miscarriage, people — friends, even family — may not know yet, that you were pregnant. This contributes to a culture of silence around the issue, and makes what is actually an entirely common event (by some estimates, up to 20% of known pregnancies and 50% of all conceptions) come as a terrible, unexpected, and solitary shock.

A couple of years after it happened, I started sending quiet little pings out into the social media ether, in alternating networks, to mark the date. I’ve done this every other year since, sometimes deleting them after they’d been up a while, and sometimes letting them linger. I decided a long time ago that the tenth year would be my last, and most public. (This is it.)

I’m a pro-choice atheist feminist whose life is full of joy. I believe that any feeling a person may have about this matter — from grief to anger to guilty relief — is valid and okay to feel. I began writing about my own pregnancy loss because I was always teaching grad students in one way or another, and working in the gendered field of librarianship which put me into contact with lots of women of childbearing age — and also because my work brought with it a growing following of younger colleagues online, where professional connections turn easily into friendships. My past Twitterings and scattered signal flags on Facebook were all much shorter and less personal than this post, but they’ve shared the same message:

Like so many women, many more than you may realize, I’ve been there. If it happens to you and you find you need someone — please remember this message, and know we are of a sisterhood.

You can talk to me.

all at once

Thirteen years ago, I was a graduate student in English literature when the Twin Towers collapsed, a fireball erupted from the Pentagon, and a group of everyday travelers hurtled a fourth involved commercial airliner, in self-sacrifice, into a muddy field. We got an email from our department chair. It read (I paraphrase), “this is why poetry matters.”

I had been watching people leap to their deaths from skyscrapers on the morning news. “Bullshit,” said I, a girl who had been in love with Shakespeare and Pope and Keats and Tennyson since grade school. And that was the end of any more conventional conception I may have had of my own career–the end, for me, of the profession of English.

I was, truth be told, already on the way out, toward my discipline’s methodological and material oddball fringe–specializing by then not in literary hermeneutics but in the mapping of its lessons and techniques to bibliography, scholarly editing, human-computer interaction, and humanities computing. Over time–by applying my teaching experience and past education in Education, and by learning from the side jobs in labs and centers that I held as a grad student–I built some expertise in project management and digital cultural heritage. In that way, I applied myself to work that felt more satisfyingly pragmatic to me. I couldn’t bear to spend my time happily, as a single, sensitive reader and writer–but I could happily spend it struggling: nudging and nurturing people, and helping them find ways to work effectively as teams in the protection and remediation and interpretation and sharing of stuff. Soon I was a mother and a post-doc. Then I was a member of UVa’s research faculty in Media Studies and a mother some more. Finally, I became a librarian and (heaven help me) an administrator. Continue reading “all at once”

neatline & visualization as interpretation

[This post is re-published from an invited response to a February 2014 MediaCommons question of the week: “How can we better use data and/or research visualization in the humanities?” I forgot I had written it! so thought I would cross-post it, belatedly, to my blog. Many thanks to Kevin Smith, a student in Ryan Cordell’s Northeastern University digital humanities course, for reminding me. Read his “Direct visualization as/is a tactical term,” here.]

Neatline, a digital storytelling tool from the Scholars’ Lab at the University of Virginia Library, anticipates this week’s MediaCommons discussion question in three clear ways. But before I get to that, let me tell you what Neatline is.

neatline

It’s a geotemporal exhibit-builder that allows you to create beautiful, complex maps, image annotations, and narrative sequences from collections of documents and artifacts, and to connect your maps and narratives with timelines that are more-than-usually sensitive to ambiguity and nuance. Neatline (which is free and open source) lets you make hand-crafted, interactive stories as interpretive expressions of a single document or a whole archival or cultural heritage collection.

Now, let me tell you what Neatline isn’t.

It’s not a Google Map. If you simply want to drop pins on modern landscapes and provide a bit of annotation, Neatline is obvious overkill – but stick around.

How does Neatline respond to the MediaCommons question of the week?

1)   First, as an add-on to Omeka, the most stable and well-supported open source content management system designed specifically for cultural heritage data, Neatline understands libraries, archives and museums as the data-stores of the humanities. Scholars are able either to build new digital collections for Neatline annotation and storytelling in Omeka themselves, or to capitalize on existing, robust, professionally-produced humanities metadata by using other plug-ins to import records from another system. These could range from robust digital repositories (FedoraConnector) to archival finding aids (EADimporter) to structured data of any sort, gleaned from sources like spreadsheets, XML documents, and APIs (CSVimportOAI-PMH Harvester, Shared Shelf Link etc.).

2)   Second, Neatline was carefully designed by humanities scholars and DH practitioners to emphasize what we found most humanistic about interpretive scholarship, and most compelling about small data in a big data world. Its timelines and drawing tools are respectful of ambiguity, uncertainty, and subjectivity, and allow for multiple aesthetics to emerge and be expressed. The platform itself is architected so as to allow multiple, complementary or even wholly conflicting interpretations to be layered over the same, core set of humanities data. This data is understood to be unstable (in the best sense of the term) – extensible, never fixed or complete – and able to be enriched, enhanced, and altered by the activity of the scholar or curator.

3)   Finally, Neatline sees visualization itself as part of the interpretive process of humanities scholarship – not as an algorithmically-generated, push-button result or a macro-view for distant reading – but as something created minutely, manually, and iteratively, to draw our attention to small things and unfold it there. Neatline sees humanities visualization not as a result but as a process: as an interpretive act that will itself – inevitably – be changed by its own particular and unique course of creation.  Knowing that every algorithmic data visualization process is inherently interpretive is different from feeling it, as a productive resistance in the materials of digital data visualization. So users of Neatline are prompted to formulate their arguments by drawing them. They draw across landscapes (real or imaginary, photographed by today’s satellites or plotted by cartographers of years gone by), across timelines that allow for imprecision, across the gloss and grain of images of various kinds, and with and over printed or manuscript texts.