Search Results for: big data

Critiquing Big Data in China and Beyond

Samuel Lengen February 26, 2019

“I do think that the Internet truly makes us feel the world can become a smaller place,” an interlocutor, whom I will call Bo, told me in his parents’ home in Shijiazhuang, a city in China’s Hebei Province. It was late 2014, and he was studying to become a filmmaker in Beijing. During our conversation, he told me about discovering Google Earth when he was younger, recalling how, suddenly, he could “see any place in the world” from the comfort of his home. He could zoom in to explore a mountain village in Iceland, a house, and even a village dog, feeling that, without Google Earth, he would never have been able to visit such faraway places. The experience might have been virtual (xuni), he mused, but it had also been real (zhenshi). His account expressed a kind of enthusiasm for the digital that I often encountered during my ethnographic fieldwork on digital opportunity in China. However, his story was made especially compelling by the oppressive smog plaguing the city outside. While neighboring buildings disappeared in a toxic fog, he expressed his excitement about “seeing” a digitally mediated “Google Earth.” (read more...)

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Governing with Big Data: The Indian Unique Identification Project and Information Determinism

Janaki Srinivasan July 15, 2014

The relationship between surveillance, big data and state power has been vociferously debated in both academic and popular press over the past several months (Boellerstoff 2013 and Crawford et al. 2014 among others). But what of instances where states leverage big data without an explicit surveillance focus? What kinds of questions should we be asking when big data appears in a project that doesn’t focus on, say, “security” (which we associate directly with surveillance) but on “welfare” or “development”? In this post, I explore this theme in the context of the ongoing Indian Unique Identification (UID) project (also known as “Aadhaar” or Foundation). The state-backed UID project wants to issue biometric-based identity numbers to all Indian residents, arguing that an ability to uniquely identity individuals is critical to the efficient administration of public welfare schemes. The biometric dataset that the UID is putting together towards its goal is already the largest of its kind in the world. Speaking of Big Data (read more...)

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Update on Big Data and Ethnography, Ethnography of Documents

David Hakken September 16, 2013

Readers of the CASTC blog may recall my posting earlier in the year regarding Big Data. I offer the following comments as an update on my previous comments and in hopes of contributing further to the discussion of this topic. My first comment is that the topic continues to be of considerable interest. Doubtless some of this follows from the fact that capacities to provide/make sense of Big Data are now an important part of corporate advertising, if not necessarily delivery of substantive benefits. Also, under more acceptable guises of things like “Data Science,” academic programs like mine in Informatics at Indiana University are moving feverishly to try to take advantage, of both the hype and any potentially real benefits. That despite the change in term, the actual concern in my view remains about quantity is revealed by the academic efforts underway to decide just what “big” implies, e.g., at (read more...)

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Big Data Panel at 4S Conference [CFP]

Patricia G. Lange February 25, 2013

We are looking for people who are interested in presenting a paper at this year’s 4S Annual Meeting (October 9-12, 2013, San Diego, California) in a session we are organising on Big Data: Symbols, Practices, and Epistemic Uncertainties (see details below). Session Proposal Title: Big Data: Symbols, Practices, and Epistemic Uncertainties Convenors: Chiara Garattini (Health Strategy & Solutions, Intel Corporation) and Dawn Nafus (Intel Labs, Intel Corporation). Abstract: In the last couple of years “Big Data” has attracted increasing attention in academic, industrial and popular discourse. But what is being exactly referred to as Big Data and what are its implications? In images of data as a “gold mine” or “the new oil,” or even in Manovich’s (2012) notion of big data as a collapse of substance and surface, the sheer size and heterogeneity of these data bring back the analogue into the digital world in both the imagination and (read more...)

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

Patricia G. Lange January 22, 2013

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...)

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Dealing with Big Data: David Hakken Weighs In

Patricia G. Lange January 15, 2013

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...)

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Data Borders: Three Years Later

Melissa Villa Nicholas April 14, 2026
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What should we do today? How would you write Data Borders differently today? But what can I do? People often ask me these questions when I present my research on my book, Data Borders: How Silicon Valley is Building an Industry Around Immigrants (Villa-Nicholas 2023), which examines the growing industry of data collection for the surveillance and control of immigrants in the United States. These questions arise in undergraduate and graduate classrooms, at academic conferences, and among public workers in the United States. I respond by advocating for policy protections for immigrant information rights, providing examples of data rights activism, and demonstrating how we are applying techno-imagined futures within my Southern California community to advocate for humane shifts in technological design and data collection. (read more...)

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Toward a Linked Data Approach to Shifting Identities and NULL Values in Data Sets

Andrew Wiebe April 17, 2025
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The tension between binary thinking and the fluidity of identity has long been featured in discussions of definition in computational practice within galleries, libraries, archives, and museums. Nowhere is this more evident than in how data systems attempt to categorize — or fail to categorize — 2SLGBTQIA+ subjects. Metadata schemas, survey tools, and classification structures often rely on rigid dichotomies, such as male/female, known/unknown, or 1/0. (read more...)

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