Tag: methods

Remembering David Hakken

This week, the CASTAC community received the sad news that Professor David Hakken had passed away. Hakken was Director of the Social Informatics Program at The University of Indiana. Trained as an anthropologist, Hakken conducted research at the intersection of ethnography and cyberspace. He was concerned about how digital technologies and culture are continually co-constructive. His prolific career included publication of a recent book co-authored with Maurizio Teli and Barbara Andrews entitled, Beyond Capital: Values, Commons, Computing, and the Search for a Viable Future (Routledge, 2015). Hakken presciently focused on critical areas emerging at the intersection of digital anthropology and science and technology studies. The outpouring on social media from his colleagues and former students has been truly touching and shows the depth of his impact on the community. Hakken was a principal founding member of CASTAC. As a pioneer in anthropological studies of computing in the early 1990s, Hakken initiated action on creating a committee devoted to particular concerns of anthropologists in science and technology studies. He was also a friend to the CASTAC Blog. He helped lend our fledgling endeavor gravitas by writing posts and graciously being interviewed. Please join me in honoring his life and work by enjoying this gem from the Platypus vault, which originally appeared on the blog in January 2013. I was honored to have the opportunity to interview him and hear more about his big ideas on big data. I first met David at a CASTAC summer conference (remember those?) nearly twenty years ago. Over the years, I personally benefited from his wise mentoring and vibrant disposition. I was deeply saddened to hear of his passing. He will be greatly  missed. Colleagues who would like to share public remembrances about David for a longer tribute post should contact the editor, Jordan Kraemer. Patricia G. Lange May 6, 2016 (read more...)

What Can Twitter Do to/for the Field?

By Andrea Ballestero, Baird Campbell, and Eliot Storer* Between June 15 and 22, 2015, a group of anthropologists and graduate students convened by the Ethnography Studio linked our fieldsites via Twitter. The experiment, entitled “Ethnography Studio in the Field: #ESIFRice,” was designed to open conversations about how being in the “field” might shape the ways in which we conceptualize our problems of inquiry. How are the problems that mobilize us imagined once we are “in situ”? So we set up a structure for a parallel co-inhabitation of different sites. Each participant tweeted from her own location and with her own research interests in mind. The idea was not to establish a single multisited space or a joint research project but to keep the separation between sites alive, while linking them as an attempt to think together. If there was any purpose to the experiment, we could say that it was to craft an experimental system (Rheinberger 1997), that is, to set up a “system of manipulation designed to give unknown answers to questions the experimenters themselves are not yet able clearly to ask” (28). The experiment was related tangentially to ongoing conversations in anthropology about the uses of social media in fieldwork (Juris 2012; Horst 2015; Kraemer 2015; Sanjek and Tratner 2015), or what Kozinets has called “netnography” (2009). Yet, the purpose was not to explicitly discuss social media, but to create a space of structured play where we could see what Twitter might do to shape our analytic fields in real time. And so it was that a group of us, in different stages of our training, enmeshed in different geographic sites, and from different professional locations, got together to think about the field. The experiment generated a set of familiar and unfamiliar impressions. This post is an initial reflection on the effects of the experiment, not a report on results. The Ethnography Studio wrote up #ESIFRice! Field / Experiments http://t.co/083FJktbeV cc @aballes2 @ethosITU @BairdCampbell #fieldwork #yes — Rachel Douglas-Jones (@kaisirlin) September 22, 2015 (read more...)

On the Ethnographic Butterfly Effect

More than three months ago I wanted to write about the ethnographic butterfly effect and a key informant’s book. But there were strange things happening around games and social media at the time coupled with tragic events in Ferguson, Missouri. So I wrote about those things. It is more than three months later and there are still strange things happening in social media around games and everything in Ferguson, Missouri (and other parts of the United States) is somehow impossibly more sad. So I’m going to write about the ethnographic butterfly effect and a key informant’s book on the game Jagged Alliance 2. (read more...)

In the QDA Test Kitchen, or, What Does It Matter Who Barbara Is?

2014 was the year that the major players in qualitative data analysis (QDA) software released native versions for the Mac. For me, the timing was perfect: my dissertation fieldwork in North Dakota had drawn to a close by summer’s end, and my advisor was encouraging me to roll up my sleeves and start working through my material. I wasn’t sure which software package would serve me best, though, and most of the guidance I could find around the Web declined to make head-to-head comparisons. Then, too, I was mindful of the critiques charging that QDA software of any stripe contributes to the mystification of method and amounts to an overpriced means of avoiding index cards, glue, and scissors. I have nothing against index cards, but with operating system issues off the table and student licenses available for under $100, I decided to see if one of these tools could help me to organize my data and get writing. After sizing up the available options, I downloaded trial versions of two well-known QDA products: NVIVO and Atlas.ti. I knew I was looking for an attractive and intuitive user interface that would allow me to code data in multiple formats: handwritten field notes, interview transcripts, documents I collected in the field. I had little faith that calculating the frequency and co-occurrence of the codes I assigned would unlock some deep, hidden structure of my material. But, taking a cue from one of the founding texts of software studies, I resolved to approach QDA software as an object that “deserves a reciprocation of the richness of thought that went into it, with the care to pay attention to what it says and what it makes palpable or possible.” How, I wondered, would my choice of software package make some kinds of analytical thinking possible and forestall others? What would my choice commit me to? (read more...)

Findings From The Asthma Files

It’s been nearly four years since The Asthma Files (TAF) really took off (as a collaborative ethnographic project housed on an object-oriented platform). In that time our work has included system design and development, data collection, and lots of project coordination. All of this continues today; we’ve learned that the work of designing and building a digital archive is ongoing. By “we” I mean our “Installation Crew”, a collective of social scientists who have met almost every week for years. We’ve also had scores of students, graduate and undergraduates at a number of institutions, use TAF in their courses, through independent studies, and as a space to think through dissertations. In a highly distributed, long-term, ethnographic project like TAF, we’ve derived a number of modest findings from particular sites and studies; the trick is to make sense of the patterned mosaic emerging over time, which is challenging since the very (read more...)

Dealing with Big Data: David Hakken Weighs In

Although anthropologists have been working with large-scale data sets for quite some time, the term “big data” is currently being used to refer to large, complex sets of data combined from different sources and media that are difficult to wrangle using standard coding schemes or desktop database software. Last year saw a rise in STS approaches that try to grapple with questions of scale in research, and the trend toward data accumulation seems to be continuing unabated. According to IBM, we generate 2.5 quintillion bytes of data each day. This means that 90% of the data in the world was created during the last 2 years. Big data are often drawn and aggregated from a very large variety of sources, both personal and public, and include everything from social media participation to surveillance footage to consumer buying patterns. Big data sets exhibit complex relationships and yield information to entities who (read more...)