For more than two decades, anthropologists have wrestled with new digital technologies and their ... more For more than two decades, anthropologists have wrestled with new digital technologies and their impacts on how their data are collected, managed, and ultimately presented. Anthropological Data in the Digital Age compiles a range of academics in anthropology and the information sciences, archivists, and librarians to offer in-depth discussions of the issues raised by digital scholarship. The volume covers the technical aspects of data management—retrieval, metadata, dissemination, presentation, and preservation—while at once engaging with case studies written by cultural anthropologists and archaeologists returning from the field to grapple with the implications of producing data digitally. Concluding with thoughts on the new considerations and ethics of digital data, Anthropological Data in the Digital Age is a multi-faceted meditation on anthropological practice in a technologically mediated world.
XRDS: Crossroads, The ACM Magazine for Students, 2017
How data collection and reporting standards have shaped what we know and do not know about water ... more How data collection and reporting standards have shaped what we know and do not know about water contamination in Hoosick Falls, NY.
Proceedings of the 2017 ACM on Web Science Conference, 2017
This paper examines how legacies of thinking about ontology, logic, and how best to approach know... more This paper examines how legacies of thinking about ontology, logic, and how best to approach knowledge representation have become interwoven in the architecture of the technologies that enable a Semantic Web. As a cultural anthropologist, I approach this study with qualitative historical and ethnographic methodologies, positioning the community of researchers that have been involved in the design and implementation of Semantic Web protocols and technologies as my primary field site. Two concepts from Science and Technology Studies are introduced - thought styles and design logics. The paper demonstrates how diverse thinking about how to approach knowledge representation on the Web is rooted in debates that emerged in artificial intelligence in the 1970s and 1980s. It then goes on to discuss how the diverse approaches to Web semantics that emerged from these legacies have cultural and political implications. The paper concludes with a call for further research that positions Web arch...
In this chapter the editors interview Dr. Deborah Winslow about her work at the National Science ... more In this chapter the editors interview Dr. Deborah Winslow about her work at the National Science Foundation (NSF) and the evolution of data management plans (DMPs) in Anthropology and the Social, Behavioral and Economic Sciences (SBE). She outlines what the NSF expects to see in a DMP and what not to include. The conversation moves into how anthropologists collaborate with “adjacent disciplines” and how the ideas and terms for data, and the expectations of data change. She emphasizes thinking about the kind of data you will collect and what you plan to do with those data later, in terms of requirements for sharing and ultimately archiving them. The conversation ends with a discussion about student research and formulating appropriate research questions.
All datasets emerge from and are enmeshed in power-laden semiotic systems. While emerging data et... more All datasets emerge from and are enmeshed in power-laden semiotic systems. While emerging data ethics curriculum is supporting data science students in identifying data biases and their consequences, critical attention to the cultural histories and vested interests animating data semantics is needed to elucidate the assumptions and political commitments on which data rest, along with the externalities they produce. In this article, I introduce three modes of reading that can be engaged when studying datasets—a denotative reading (extrapolating the literal meaning of values in a dataset), a connotative reading (tracing the socio-political provenance of data semantics), and a deconstructive reading (seeking what gets Othered through data semantics and structure). I then outline how I have taught students to engage these methods when analyzing three datasets in Data and Society—a course designed to cultivate student competency in politically aware data analysis and interpretation. I sh...
In this paper, we describe how critical data designers have created projects that ‘push back’ aga... more In this paper, we describe how critical data designers have created projects that ‘push back’ against the eclipse of environmental problems by dominant orders: the pioneering pollution database Scorecard, released by the US NGO Environmental Defense Fund in 1997; the US Environmental Protection Agency’s EnviroAtlas that brings together numerous data sets and provides tools for valuing ecosystem services; and the Houston Clean Air Network’s maps of real-time ozone levels in Houston. Drawing on ethnographic observations and interviews, we analyse how critical data designers turn scientific data and findings into claims and visualisations that are meaningful in contemporary political terms. The skills of critical data designers cross scales and domains; they must identify problems calling for public consideration, and then locate, access, link, and create visualisations of data relevant to the problem. We conclude by describing hazards ahead in work to leverage Big Data to understand a...
This chapter points out different ways involvement with collaborative projects share form, shape,... more This chapter points out different ways involvement with collaborative projects share form, shape, or style, and may be imagined as nested within each other, like matryoshka dolls. It deals with the Platform for Experimental Collaborative Ethnography (PECE), the digital infrastructure that support new collaborative projects in anthropology. It also cites the long-standing collaboration of The Asthma Files (TAF), which is an experimental ethnographic research project that eventually led to the conceptualization and development of PECE. The chapter mentions the Digital Practices in History and Ethnography Interest Group (DPHE-IG) that was organized within the Research Data Alliance (RDA), a global collaboration of individuals and institutions working to make data more easily and openly shareable. It emphasizes how the collaborative form is the experimental form analyzed by Hans-Jorg Rheinberger as essential to a modern scientific style.
In this article, we describe how our work at a particular nexus of STS, ethnography, and critical... more In this article, we describe how our work at a particular nexus of STS, ethnography, and critical theory—informed by experimental sensibilities in both the arts and sciences—transformed as we built and learned to use collaborative workflows and supporting digital infrastructure. Responding to the call of this special issue to be “ethnographic about ethnography,” we describe what we have learned about our own methods and collaborative practices through building digital infrastructure to support them. Supporting and accounting for how experimental ethnographic projects move—through different points in a research workflow, with many switchbacks, with project designs constantly changing as the research develops—was a key challenge. Addressing it depended on understanding creative data practices and analytic workflows, redesigning and building technological infrastructure, and constant attention to collaboration ethics. We refer to this as the need for doubletakes on method. We focus on ...
For more than two decades, anthropologists have wrestled with new digital technologies and their ... more For more than two decades, anthropologists have wrestled with new digital technologies and their impacts on how their data are collected, managed, and ultimately presented. Anthropological Data in the Digital Age compiles a range of academics in anthropology and the information sciences, archivists, and librarians to offer in-depth discussions of the issues raised by digital scholarship. The volume covers the technical aspects of data management—retrieval, metadata, dissemination, presentation, and preservation—while at once engaging with case studies written by cultural anthropologists and archaeologists returning from the field to grapple with the implications of producing data digitally. Concluding with thoughts on the new considerations and ethics of digital data, Anthropological Data in the Digital Age is a multi-faceted meditation on anthropological practice in a technologically mediated world.
XRDS: Crossroads, The ACM Magazine for Students, 2017
How data collection and reporting standards have shaped what we know and do not know about water ... more How data collection and reporting standards have shaped what we know and do not know about water contamination in Hoosick Falls, NY.
Proceedings of the 2017 ACM on Web Science Conference, 2017
This paper examines how legacies of thinking about ontology, logic, and how best to approach know... more This paper examines how legacies of thinking about ontology, logic, and how best to approach knowledge representation have become interwoven in the architecture of the technologies that enable a Semantic Web. As a cultural anthropologist, I approach this study with qualitative historical and ethnographic methodologies, positioning the community of researchers that have been involved in the design and implementation of Semantic Web protocols and technologies as my primary field site. Two concepts from Science and Technology Studies are introduced - thought styles and design logics. The paper demonstrates how diverse thinking about how to approach knowledge representation on the Web is rooted in debates that emerged in artificial intelligence in the 1970s and 1980s. It then goes on to discuss how the diverse approaches to Web semantics that emerged from these legacies have cultural and political implications. The paper concludes with a call for further research that positions Web arch...
In this chapter the editors interview Dr. Deborah Winslow about her work at the National Science ... more In this chapter the editors interview Dr. Deborah Winslow about her work at the National Science Foundation (NSF) and the evolution of data management plans (DMPs) in Anthropology and the Social, Behavioral and Economic Sciences (SBE). She outlines what the NSF expects to see in a DMP and what not to include. The conversation moves into how anthropologists collaborate with “adjacent disciplines” and how the ideas and terms for data, and the expectations of data change. She emphasizes thinking about the kind of data you will collect and what you plan to do with those data later, in terms of requirements for sharing and ultimately archiving them. The conversation ends with a discussion about student research and formulating appropriate research questions.
All datasets emerge from and are enmeshed in power-laden semiotic systems. While emerging data et... more All datasets emerge from and are enmeshed in power-laden semiotic systems. While emerging data ethics curriculum is supporting data science students in identifying data biases and their consequences, critical attention to the cultural histories and vested interests animating data semantics is needed to elucidate the assumptions and political commitments on which data rest, along with the externalities they produce. In this article, I introduce three modes of reading that can be engaged when studying datasets—a denotative reading (extrapolating the literal meaning of values in a dataset), a connotative reading (tracing the socio-political provenance of data semantics), and a deconstructive reading (seeking what gets Othered through data semantics and structure). I then outline how I have taught students to engage these methods when analyzing three datasets in Data and Society—a course designed to cultivate student competency in politically aware data analysis and interpretation. I sh...
In this paper, we describe how critical data designers have created projects that ‘push back’ aga... more In this paper, we describe how critical data designers have created projects that ‘push back’ against the eclipse of environmental problems by dominant orders: the pioneering pollution database Scorecard, released by the US NGO Environmental Defense Fund in 1997; the US Environmental Protection Agency’s EnviroAtlas that brings together numerous data sets and provides tools for valuing ecosystem services; and the Houston Clean Air Network’s maps of real-time ozone levels in Houston. Drawing on ethnographic observations and interviews, we analyse how critical data designers turn scientific data and findings into claims and visualisations that are meaningful in contemporary political terms. The skills of critical data designers cross scales and domains; they must identify problems calling for public consideration, and then locate, access, link, and create visualisations of data relevant to the problem. We conclude by describing hazards ahead in work to leverage Big Data to understand a...
This chapter points out different ways involvement with collaborative projects share form, shape,... more This chapter points out different ways involvement with collaborative projects share form, shape, or style, and may be imagined as nested within each other, like matryoshka dolls. It deals with the Platform for Experimental Collaborative Ethnography (PECE), the digital infrastructure that support new collaborative projects in anthropology. It also cites the long-standing collaboration of The Asthma Files (TAF), which is an experimental ethnographic research project that eventually led to the conceptualization and development of PECE. The chapter mentions the Digital Practices in History and Ethnography Interest Group (DPHE-IG) that was organized within the Research Data Alliance (RDA), a global collaboration of individuals and institutions working to make data more easily and openly shareable. It emphasizes how the collaborative form is the experimental form analyzed by Hans-Jorg Rheinberger as essential to a modern scientific style.
In this article, we describe how our work at a particular nexus of STS, ethnography, and critical... more In this article, we describe how our work at a particular nexus of STS, ethnography, and critical theory—informed by experimental sensibilities in both the arts and sciences—transformed as we built and learned to use collaborative workflows and supporting digital infrastructure. Responding to the call of this special issue to be “ethnographic about ethnography,” we describe what we have learned about our own methods and collaborative practices through building digital infrastructure to support them. Supporting and accounting for how experimental ethnographic projects move—through different points in a research workflow, with many switchbacks, with project designs constantly changing as the research develops—was a key challenge. Addressing it depended on understanding creative data practices and analytic workflows, redesigning and building technological infrastructure, and constant attention to collaboration ethics. We refer to this as the need for doubletakes on method. We focus on ...
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