Evan Mo
Biographic Data
| ID | 169226 |
|---|---|
| NAME | Evan Mo |
| GIVEN NAMES | Evan |
| FAMILY NAME | Mo |
| SIGNATURE | MO E |
| AFFILIATIONS | The Graduate Center, CUNY |
| ORCID | 0000-0002-3850-2677 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 60 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Ethnographic thinking
Anthropology and its marquee method, ethnography, have recently been promoted as an analytical key for unlocking problems faced in other domains. This review addresses two books that argue for the value of this anthropological lens:Anthro-Vision: A New Way to See in Business and Life, by Gillian Tett, andHow to Think like an Anthropologist, by Matthew Engelke. The differences between these works highlight the risk of deploying anthropology as a m…
Exploring the figured worlds of mindfulness and teaching
In the high-pressure world of education, mindfulness practices have been offered to help teachers and students to handle stress and manage their emotions. Here we describe how two fifth-grade teachers experienced a mindfulness intervention, using the construct of figured worlds. We explore how they negotiated mindfulness in their practice, illustrating the power of an anthropological look at a typically psychological construct
Resistance and refusal to algorithmic harms
Industrial, academic, activist, and policy research and advocacy movements formed around resisting 'machine bias', promoting 'ethical AI', and 'fair ML' have discursive implications for what constitutes harm, and what resistance to algorithmic influence itself means, and is deeply connected to which actors makes epistemic claims about harm and resistance. We present a loose categorization of kinds of resistance to algorithmic systems: a dominant …
Excavating awareness and power in data science
Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such r…
Owning Ethics
Ethics is arguably the hottest product in Silicon Valley’s1 hype cycle today, even as headlines decrying a lack of ethics in technology companies accumulate. After years of largely fruitless outside pressure to consider the consequences of digital technology products, the very recent past has seen a spike in the assignment of corporate resources in Silicon Valley to ethics, including hiring staff for roles we identify here as “ethics owners.” In …
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances that are advertised around DS/ML have yet to be realized on a broader basis. The authors examine the tension between the spectacular image of DS/ML and the…
Excavation is Destruction Digitization
© Trustees of Boston University 2015. This article modifies an old archaeological adage-"excavation is destruction"- to demonstrate how advances in archaeological practice suggest a new iteration: "excavation is digitization." Digitization, in a fully digital paradigm, refers to practices that leverage advances in onsite, image-based modeling and volumetric recording, integrated databases, and data sharing. Such practices were implemented in 2014…
Excavation is Destruction Digitization
© Trustees of Boston University 2015. This article modifies an old archaeological adage-"excavation is destruction"- to demonstrate how advances in archaeological practice suggest a new iteration: "excavation is digitization." Digitization, in a fully digital paradigm, refers to practices that leverage advances in onsite, image-based modeling and volumetric recording, integrated databases, and data sharing. Such practices were implemented in 2014…
Owning Ethics
Ethics is arguably the hottest product in Silicon Valley’s1 hype cycle today, even as headlines decrying a lack of ethics in technology companies accumulate. After years of largely fruitless outside pressure to consider the consequences of digital technology products, the very recent past has seen a spike in the assignment of corporate resources in Silicon Valley to ethics, including hiring staff for roles we identify here as “ethics owners.” In …
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances that are advertised around DS/ML have yet to be realized on a broader basis. The authors examine the tension between the spectacular image of DS/ML and the…
Resistance and refusal to algorithmic harms
Industrial, academic, activist, and policy research and advocacy movements formed around resisting 'machine bias', promoting 'ethical AI', and 'fair ML' have discursive implications for what constitutes harm, and what resistance to algorithmic influence itself means, and is deeply connected to which actors makes epistemic claims about harm and resistance. We present a loose categorization of kinds of resistance to algorithmic systems: a dominant …
Excavating awareness and power in data science
Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such r…
Ethnographic thinking
Anthropology and its marquee method, ethnography, have recently been promoted as an analytical key for unlocking problems faced in other domains. This review addresses two books that argue for the value of this anthropological lens:Anthro-Vision: A New Way to See in Business and Life, by Gillian Tett, andHow to Think like an Anthropologist, by Matthew Engelke. The differences between these works highlight the risk of deploying anthropology as a m…
Excavation is Destruction Digitization
© Trustees of Boston University 2015. This article modifies an old archaeological adage-"excavation is destruction"- to demonstrate how advances in archaeological practice suggest a new iteration: "excavation is digitization." Digitization, in a fully digital paradigm, refers to practices that leverage advances in onsite, image-based modeling and volumetric recording, integrated databases, and data sharing. Such practices were implemented in 2014…
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances that are advertised around DS/ML have yet to be realized on a broader basis. The authors examine the tension between the spectacular image of DS/ML and the…
Owning Ethics
Ethics is arguably the hottest product in Silicon Valley’s1 hype cycle today, even as headlines decrying a lack of ethics in technology companies accumulate. After years of largely fruitless outside pressure to consider the consequences of digital technology products, the very recent past has seen a spike in the assignment of corporate resources in Silicon Valley to ethics, including hiring staff for roles we identify here as “ethics owners.” In …
Excavating awareness and power in data science
Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such r…
Resistance and refusal to algorithmic harms
Industrial, academic, activist, and policy research and advocacy movements formed around resisting 'machine bias', promoting 'ethical AI', and 'fair ML' have discursive implications for what constitutes harm, and what resistance to algorithmic influence itself means, and is deeply connected to which actors makes epistemic claims about harm and resistance. We present a loose categorization of kinds of resistance to algorithmic systems: a dominant …
Ethnographic thinking
Anthropology and its marquee method, ethnography, have recently been promoted as an analytical key for unlocking problems faced in other domains. This review addresses two books that argue for the value of this anthropological lens:Anthro-Vision: A New Way to See in Business and Life, by Gillian Tett, andHow to Think like an Anthropologist, by Matthew Engelke. The differences between these works highlight the risk of deploying anthropology as a m…
Exploring the figured worlds of mindfulness and teaching
In the high-pressure world of education, mindfulness practices have been offered to help teachers and students to handle stress and manage their emotions. Here we describe how two fifth-grade teachers experienced a mindfulness intervention, using the construct of figured worlds. We explore how they negotiated mindfulness in their practice, illustrating the power of an anthropological look at a typically psychological construct
Computer Science (6 works) · Sociology (6 works) · Ethics and Social Impacts of AI (3 works) · Political science (3 works) · Business (2 works) · Engineering (2 works) · Epistemology (2 works) · Ethnography (2 works) · Innovative Human-Technology Interaction (2 works) · Law (2 works)