Monthly Archives: January 2013

Inside MOOCs: A First Hand Account, Part 1

As MOOCs are all the rage these days, I thought I should take one for a spin to see what the experience was like, from the standpoint of a student. I find the pedagogical implications of MOOCs, or “massive open online courses” to be intriguing, and I am always interested in furthering my education. I’m drawn to the ethnographic possibilities in any situation, so when Patricia Lange suggested that I might do an ethno diary of my MOOCing experience, I jumped at the chance. This is the first of the diary entries, with initial impressions of the first week of class. I intend to add additional entries during the semester. I haven’t seen the inside of a classroom, either as a student or teacher, for some years, having had to concede my part-time lecturing to the pressing need for health insurance. Currently I work on behalf of others’ research in (read more...)

Ethnographic Analytics for Anthropological Studies: Adding Value to Ethnography Through IT-based Methods

Ethnographic analytics? What’s that? In short, ethnographic analytics takes advantage of today’s technology to benefit anthropological studies, and is a great example of how science and technology can come together to help us understand and explain much about society and our human condition overall. I suggest that, using the computing power of software tools and techniques, it is possible to construct a set of useful indicators or analytics to complement the five human senses for ethnographic investigation. Where did the idea of ethnographic analytics originate? How have ethnographic analytics been used and with what results? How can you incorporate them in your work? These are all questions I will address in the following short example of a recent study application in which ethnography and IT-based analytics complemented one another to produce insights about organizational innovation. In this blog, I will focus on one indicator that I have found very useful: (read more...)

Call for Papers: “Big Data, Big Questions, or, Accounting for Big Data” [Abstracts DUE October 1, 2012]

From Kate Crawford and Mary Gray at Microsoft Research, a call for papers on Big Data: “Big Data, Big Questions, or, Accounting for Big Data” International Journal of Communication Guest Editors: Kate Crawford Microsoft Research University of New South Wales Mary L. Gray Microsoft Research Indiana University Editor: Larry Gross University of Southern California Previously isolated data sets, from social media and demographic surveys to city maps and urban planning documents, are now routinely interlinked. Combining separate, often disparate, multi-terabyte sets of information reframes our capacity to see into the behaviors of – and relationships between – people, institutions and things. Researchers in fields as varied as computer science, geography, sociology, marketing, biology, economics, among many others, use the term “big data” to capture a wide range of activities revolving around accessing and analyzing these vast quantities of information. What are the implications of big data as a cultural, technological (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...)

Looking Ahead to 2013: A Question of Scale

The CASTAC community joined together in 2012 to launch this blog and begin dialogue on contemporary issues and research approaches. Even though the blog is just getting off the ground, certain powerful themes are already emerging across different projects and areas of study. Key themes for the coming year include dealing with large data sets, connecting individual choices to larger economic forces, and translating the meaning of actions from different realms of experience. Perhaps the most visible trend on our minds right now involves dealing with scale. How can anthropologists, ethnographers, and other STS scholars address large data sets and approaches in research and pedagogy, while also retaining an appropriate relationship to the theories and methods that have made our disciplines strong? As we look ahead to 2013, it would seem that a big question for the CASTAC community involves finding creative and ethical ways to deal with phenomena that (read more...)

Diana Forsythe Prize: 2013 Call for Nominations

The Diana Forsythe Prize was created in 1998 to celebrate the best book or series of published articles in the spirit of Diana Forsythe’s feminist anthropological research on work, science, or technology, including biomedicine. The prize is awarded annually at the AAA meeting by a committee consisting of two representatives from CASTAC and one representative from the Society for the Anthropology of Work (SAW) . It is supported by the General Anthropology Division (GAD) and Bern Shen. Self-nominations are welcomed To be eligible, books (or article series) must have been published in the last five years (copyright of 2008 or later) Submission deadline is May 1, 2013 (early nominations appreciated). Nominations should be sent via email to Selection Committee Chair, Marcia Inhorn at Publishers should send a copy of nominated titles to each of the selection committee members listed below. Marcia C. Inhorn Yale University Department of Anthropology 10 (read more...)

MOOCs in the Machine, Part II

In Part I, I asked how MOOCs (massive online open courses) are potentially poised to “disrupt” academia thanks to broader structural and economic shifts that need to be addressed independently, while still considering the value of online education. In this second half, I turn towards ways to rethink graduate education as a consequence of changes in academia and the academic job market. —- While MOOCs have become a popular topic of discussion, less attention has been paid to those rethinking the structure of graduate education, to address related issues (including restructuring humanities dissertations  and shortening the length of doctoral programs). Notably, Stanford has been moving forward with an initiative to cut the time-to-degree for humanities programs to five years, by soliciting concrete plans from individual departments in exchange for year-round grad student funding. I can’t speak to whether five years is a reasonable length for humanities Ph.D. programs, but it (read more...)