John Leslie King’s research while affiliated with University of Michigan and other places

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Publications (154)


Healthy Skepticism
  • Article

November 2024

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6 Reads

Computer

John Leslie King

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Hal Berghel

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Phillip Glen Armour

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Robert N. Charette

Healthy skepticism improves project success by confronting project problems with candor, but is easy to stifle when participants fear being considered “Luddites.” Healthy skepticism is valuable and necessary but cannot survive when all skepticism is destroyed.



Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences
  • Preprint
  • File available

April 2023

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349 Reads

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7 Citations

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Guido Cervone

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Caroline Coward

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[...]

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AGU AI/ML Ethics Workshop Participants
Download


How Domain Experts Work with Data: Situating Data Science in the Practices and Settings of Craftwork

March 2022

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56 Reads

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15 Citations

Proceedings of the ACM on Human-Computer Interaction

Domain experts play an essential role in data science by helping data scientists situate their technical work beyond the statistical analysis of large datasets. How domain experts themselves may engage with data science tools as a type of end-user remains largely invisible. Understanding data science as domain expert-driven depends on understanding how domain experts use data. Drawing on an ethnographic study of a craft brewery in Korea, we show how craft brewers worked with data by situating otherwise abstract data within their brewing practices and settings. We contribute theoretical insight into how domain experts use data distinctly from technical data scientists in terms of their view of data (situated vs. abstract), purposes for engaging with data (guiding processes over predicting outcomes), and overall goals of using data (flexible control vs. precision). We propose four ways in which working with data can be supported through the design of data science tools, and discuss how craftwork can be a useful lens for integrating domain expert-driven understandings of data science into CSCW and HCI research.




Negotiating Repairedness: How Artifacts Under Repair Become Contingently Stabilized

October 2021

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13 Reads

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6 Citations

Proceedings of the ACM on Human-Computer Interaction

This paper examines "repairedness" - the contingently stable, working version of an artifact under repair that is negotiated out of multiple possible versions to bring about the temporary conclusion of repair work. Our paper draws on an ethnographic study of an analog electronics repair community in Seoul, South Korea to develop two contributions. First, studying processes of negotiating the repairedness of an artifact accounts for contingency in the properties of the artifact itself, which differs from contingencies in collaborative work practices that have been a focus of CSCW research on repair. Second, a concept of repairedness highlights how ongoing processes of interacting with an artifact nonetheless need to be brought to contingent conclusions, suggesting that an artifact's properties are a valuable site for sustainable engagement. These contributions help CSCW research on repair account for the multiplicity of artifacts highlighted by STS scholars as integral to how humans sustainably engage with artifacts in their practices.


Institutions, Infrastructures, and Innovation

January 2021

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37 Reads

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3 Citations

Computer

Innovators, institutions, and infrastructures are hidden but essential to innovation ecologies that produced important breakthroughs. This article provides examples and suggestions for spotting institutional and infrastructural factors important to any technological trajectory.


Negotiated Sharing of Pandemic Data, Models, and Resources

September 2020

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53 Reads

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4 Citations

Negotiation Journal

Urgent responses to the COVID‐19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long‐standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases—where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed—the rules of the game are “on the table” for institutional‐level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID‐19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre‐competitive initiatives.


Citations (76)


... The authors argued that many studies overestimate the automation probabilities, and that the projections of jobs eliminated are perhaps not as discouraging as depicted by many. Due to emerging technology following the digital transformation, accompanied by other environmental factors such as globalization (Sousa & Rocha, 2019), increasing sustainability awareness, and demographic change (Dengler & Matthes, 2018;Kluge et al., 2020), new jobs and tasks will arise (King & Grudin, 2020). Moreover, emerging digital technologies may also function to support employees in their existing jobs (Davenport & Kirby, 2016), helping employees perform tasks and informing their decisions (Schwarzmüller et al., 2018). ...

Reference:

Digital Transformation from an Employee Perspective: A Literature Review
Prolegomena on digital innovation and jobs
  • Citing Chapter
  • July 2020

... In this paper, we introduce quantitative content analysis (QCA) as an approach to increase the reproducibility and replicability of hand labeling for training supervised ML in ESS applications. With this approach, we provide an actionable path forward for addressing ethical considerations and goals outlined by recent AGU work on ML ethics in ESS (Stall et al., 2023). QCA is a method used in social science to systematically and objectively categorize data using a standardized set of rules, known as a "codebook," together with assessments of reliability (Coe & Scacco, 2017). ...

Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences

... Studies offer recommendations for reconceptualizing collaborations between social sector organizations and data scientists. Recommendations include building trust, aligning development with existing data practices [3,36,57], and sharing expertise and financial resources [106]. Prior work also advocates for acknowledging community organizations' role in translating across stakeholders [54,102] and defining complex notions like fairness [56], viewing "errors" as an opportunity to re-center overlooked expertise [71], and having brokers who can mediate strong collaborations and actionable insights [3,54]. ...

How Domain Experts Work with Data: Situating Data Science in the Practices and Settings of Craftwork
  • Citing Article
  • March 2022

Proceedings of the ACM on Human-Computer Interaction

... Bhowmik and Fabry, in an IEEE Computer article, outlined the path forward for hearing aids to become multifunctional devices, transcending their primary purpose of amplifying sound [24]. The computational processing power in modern hearing aids has become so advanced, and the connectivity to the cloud so pervasive, that they are able to integrate fall detection and fitness tracking sensors, language translation capabilities, and virtual assistants into the hearing aids, in addition to audio streaming from devices such as smartphones, computers, and televisions. ...

Hear, Now, and in the Future: Transforming Hearing Aids Into Multipurpose Devices
  • Citing Article
  • November 2021

Computer

... Otro cuerpo de investigación relacionado explora el acto de reparación en los cafés de reparación y desentraña los procesos por los que pasan los reparadores cuando participan en la reparación dentro de estos contextos (Jung et al., 2021;Rosner, 2014;Rosner & Ames, 2014;van der Velden, 2021). Estos estudios discuten muchos desafíos generales de reparación para informar el diseño para estos contextos; sin embargo, no consideran los dispositivos inteligentes como un caso de uso específico. ...

Negotiating Repairedness: How Artifacts Under Repair Become Contingently Stabilized
  • Citing Article
  • October 2021

Proceedings of the ACM on Human-Computer Interaction

... First, innovation management studies that link institutional factors to economic growth contribute to a wellestablished domain of management research. This domain remains the focus of current studies (Jiang and Zhang 2020;Edwards and King 2021) to underscore the role of new ventures, market creation, inclusivity, and assistance afforded by institutions for the growth of economies and technological trajectory. Here, innovative activities within institutions act a central force to economic growth because they determine sharing rules within society and complement other growth explanations such as frugality, resilience, geography, trade, and capital (Gande et al. 2020;Tomizawa et al. 2020;Nkundabanyanga et al. 2020). ...

Institutions, Infrastructures, and Innovation
  • Citing Article
  • January 2021

Computer

... While several relevant studies concerning the influence of the COVID-19 pandemic on researchers' behavior to share their research data openly exist, these mainly provide indications or suggestions rather than empirical research in this area (e.g., Cheifet, 2020;Curioso & Carrasco-Escobar, 2020;Cutcher-Gershenfeld et al., 2020;Gardner et al., 2021). Of the few empirical studies, some focus on the reuse of open research data rather than its provision (Baynes & Hahnel, 2020) or on the number of COVID-19-related articles for which the underlying datasets are shared openly (Gkiouras et al., 2020;Lucas-Dominguez et al., 2021). ...

Negotiated Sharing of Pandemic Data, Models, and Resources
  • Citing Article
  • September 2020

Negotiation Journal

... Fourth, information technology factors include technological improvements and information technology quality or characteristics that influence government reorganization [17], [18], [19]. According to this approach, technology is autonomous upon social components (e.g., individuals, organizations, institutions, cultures). ...

Information Technology and Administrative Reform
  • Citing Chapter
  • January 2008

... However, cost minimisation and efficient operations do not always ensure flexibility during a disruption [29]. The preparedness for disruptions is often a low priority leading to an 'aftershock', with little strategy and therefore 'failure imagination' applied [30]. Having experienced severe disruptions, such as the COVID-19 pandemic, there is a need to establish resilience models for the MISC from an empirical research perspective. ...

It's On: COVID-19, Risk Ecology, and Preparedness Tips

Computer