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<h2 dir="ltr" style="text-align: left; text-indent: 0px;"><span style="font-size: 16px; font-weight: normal;">Happy New Year, INES! We are happy to share Issue 17.3 of
<i>Engineering Studies</i>, available online <a href="https://www.tandfonline.com/toc/test20/current" data-outlook-id="3b09fd90-8a0f-411f-803c-c7c6089815e2">
here</a>. It is a special issue edited by Shaozeng Zhang and Kristina Lyons on </span>
<span style="font-size: 16px;">Cross-Disciplinary Collaboration with Engineers </span>
<span style="font-size: 16px; font-weight: normal;">that will resonate with many of us in our institutional locations</span><span style="font-size: 16px;">.
</span><span style="font-size: 16px; font-weight: normal;">It includes two research articles, three Making, Doing and Critical Participation articles, and one review of Jane Calvert</span><span style="font-size: 16px;">’</span><span style="font-size: 16px; font-weight: normal;">s
<i>A Place for Science and Technology Studies. </i>Thank you to Beth Reddy for serving as Associate Editor for this special issue. </span></h2>
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See many of you for the INES workshop later this month!</div>
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Jessica</div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Cross-Disciplinary Collaboration with Engineers. Guest Editors: Shaozeng Zhang and Kristina Lyons</span></h2>
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<i>Research articles:</i></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Someone Behind This Technology: Conversation Designers in the Artificial Intelligence Loop</span></h1>
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Elizabeth Rodwell</div>
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<span style="text-transform: none;">Artificial intelligence (AI) tools are advancing rapidly, yet their development remains opaque, particularly in terms of the collaborative practices that shape their design. This article presents findings from ethnographic
fieldwork conducted at a Tokyo-based conversational AI startup, supplemented by interviews with conversation designers and engineers (n = 20) working across major global tech companies. It examines how usability determinations emerge through daily negotiation
between these actors and identifies two recurring modes of dialog navigated by conversation design professionals: one focused on the emotional and pragmatic needs of users, and another grounded in engineering constraints and assumptions about technical feasibility.
Many conversation design and UX professionals hold academic training in the social sciences, and their work requires the ongoing translation of humanistic concepts into engineering language. While current conversation design remains largely human-authored,
the balance between scripted dialog and generative AI continues to evolve. I argue that conversation designers’ social science expertise is central to how AI systems come to feel ‘human.’ Bridging literatures in user experience (UX), human–computer interaction
(HCI), and science and technology studies (STS), this article addresses gaps between humanities/social science and engineering research cultures, advocating for more integrative scholarship that reflects the collaborative realities of AI development.</span></div>
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<span style="text-transform: none;">Rodwell, E. (2025). Someone Behind This Technology: Conversation Designers in the Artificial Intelligence Loop.
<i>Engineering Studies</i>, <i>17</i>(3), 158–169. <a href="https://doi.org/10.1080/19378629.2025.2575366" data-outlook-id="329860cb-788b-44b6-89e3-4c1a7eb96d64">
https://doi.org/10.1080/19378629.2025.2575366</a></span></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Assembling a New Renewables Imaginary in Sāmoa</span></h1>
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Hugo Temby, Faafetai Kolose& Annie Tuisuga</div>
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<span style="text-transform: none;">To promote climate justice, we need to do things – including renewable energy projects – differently. Scholars and activists from Moana (the Pacific) have long called for attention to Indigenous ontologies in research, policy,
and projects, but there are limited empirical accounts showing how such ontologies might operate in practice. Our ethnographic account of a recent, interdisciplinary collaboration on a renewable energy project in Sāmoa extends the practice architectures framework
to explore the social dynamics at play as a caring machine is assembled in Oceania. Our findings, and possibly our collaboration itself, suggest an alternative renewable energy imaginary is already under construction and will be of interest to engineering
studies, energy social science, critical development studies, and transdisciplinary Pacific studies.</span></div>
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<span style="text-transform: none;">Temby, H., Kolose, F., & Tuisuga, A. (2025). Assembling a New Renewables Imaginary in Sāmoa.
<i>Engineering Studies</i>, <i>17</i>(3), 170–183. <a href="https://doi.org/10.1080/19378629.2025.2575451" data-outlook-id="31a56013-5457-48e1-a78a-24396b2334c9">
https://doi.org/10.1080/19378629.2025.2575451</a></span></div>
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<i>Making, Doing and Critical Participation articles:</i></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Breaking Boundaries through Collaboration: A Human-Centered Framework for Fair AI Design</span></h1>
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Shaozeng Zhang, Ethan Copple, Ana Carolina de Assís Nunes, Ali Behnoudfar & Fuxin Li</div>
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<span style="text-transform: none;">Artificial intelligence (AI) design traditionally prioritizes full automation and broadest data coverage yet often overlooks the contextual realities of pre-existing biases in datasets and human agency in real-world applications.
This article explores how cross-disciplinary collaboration can transform this paradigm by opening AI's ‘black box' of full automation to public accountability, human operation and real-world use. Based on anthropologists’ direct collaboration with computer
scientists in a machine learning (ML) AI design project, this project proposes cross-disciplinary methodological innovations for algorithm design and takes up the fairness issue as an exemplary domain to experiment with our new ML model framework. We developed
a new ML framework that moves beyond conventional accuracy-coverage trade-offs to incorporate a human-operable three-way balance between accuracy, fairness, and coverage. In this framework, we foreground the real-world contexts and human agency at multiple
stages of AI design, from data training, decision-making, interface design to model testing. The results demonstrate both the promise and challenges of bridging academic disciplines and connecting lab-based AI development with real-world needs. While our collaboration
has made AI design more accountable, it also highlights enduring tensions in balancing competing priorities like fairness, accuracy, and coverage.</span></div>
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<span style="text-transform: none;">Zhang, S., Copple, E., de Assís Nunes, A. C., Behnoudfar, A., & Li, F. (2025). Breaking Boundaries through Collaboration: A Human-Centered Framework for Fair AI Design.
<i>Engineering Studies</i>, <i>17</i>(3), 184–198. <a href="https://doi.org/10.1080/19378629.2025.2575357" data-outlook-id="6103eb83-8ceb-43fd-809a-c53faa6e7712">
https://doi.org/10.1080/19378629.2025.2575357</a></span></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Sharing Histories at the Intersection of Computer Science and Anthropology</span></h1>
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Kendall House, John Ziker, Jerry Fails, Michael Wendell Jessi Boyer</div>
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<span style="text-transform: none;">This paper presents a critical reflection on interdisciplinary collaborations that seek to guide technical application by applying explanatory theory. It proposes that quotidian aspects of disciplinary specialization can
present obstacles to interdisciplinary collaborations. This refers not to highly abstruse theory or complex techniques, but rather to the disciplinary lore and taken for granted assumptions that students and faculty trained in discrete fields master informally
and articulate effortlessly. As a remedy it suggests sharing accounts of disciplinary lore at the outset and across the breadth of collaborative work. As an illustration, it develops several historical narratives of collaborations between computer scientists
and anthropologists, from cybernetics in the mid twentieth century to a twenty-first century project combining the explanatory theory of human behavioral ecology with human computer interaction.</span></div>
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<span style="text-transform: none;">House, K., Ziker, J., Fails, J., Wendell, M., & Boyer, J. (2025). Sharing Histories at the Intersection of Computer Science and Anthropology.
<i>Engineering Studies</i>, <i>17</i>(3), 199–215. <a href="https://doi.org/10.1080/19378629.2025.2575367" data-outlook-id="2a6910a3-9ec2-4a7d-bfa4-0bdac528a87c">
https://doi.org/10.1080/19378629.2025.2575367</a></span></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">Can Environmental Engineering Save a World of Many Worlds? Anthropocene Curriculum for Engineers</span></h1>
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Indrawan Prabaharyaka, Anindrya Nastiti & Gusmiati</div>
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<span style="text-transform: none;">This essay aims to craft the groundwork for re-engineering environmental engineering in/of the Anthropocene. Reflecting on experimental fieldwork in Muaragembong, Indonesia, raises the question of designing for water infrastructures
for more-than-human beings and sets the stage for retracing the colonial origins and the postcolonial trajectory of environmental engineering in the postcolonial state. It concludes with a critical review of the current curriculum of environmental engineering
at a technical university.</span></div>
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<span style="text-transform: none;">Prabaharyaka, I., Nastiti, A., & Gusmiati. (2025). Can Environmental Engineering Save a World of Many Worlds? Anthropocene Curriculum for Engineers.
<i>Engineering Studies</i>, <i>17</i>(3), 216–228. <a href="https://doi.org/10.1080/19378629.2025.2575445" data-outlook-id="725f67b4-c19f-4042-8553-a131d95b523b">
https://doi.org/10.1080/19378629.2025.2575445</a></span></div>
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<span style="text-transform: none;"><i>Book review:</i></span></div>
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<span style="font-family: Aptos, Arial, Helvetica, sans-serif;">A Place for Science and Technology Studies: Observation, Intervention, and Collaboration</span></h1>
<h2><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: rgb(0, 0, 0); text-transform: none;">by Jane Calvert, Cambridge, MA, The MIT Press, 2023, 232 pp., $40 (paperback), ISBN 978-0-262-54694-2</span></h2>
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Caitlin D. Wylie</div>
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<span style="text-transform: none;">Wylie, C. D. (2025). A Place for Science and Technology Studies: Observation, Intervention, and Collaboration: by Jane Calvert, Cambridge, MA, The MIT Press, 2023, 232 pp., $40 (paperback), ISBN 978-0-262-54694-2.
<i>Engineering Studies</i>, <i>17</i>(3), 229–232. <a href="https://doi.org/10.1080/19378629.2025.2573892" data-outlook-id="277cfbb7-a728-4876-a30b-32b7dc48b335">
https://doi.org/10.1080/19378629.2025.2573892</a></span></div>
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<p style="margin: 0in; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: rgb(5, 99, 193);"><u><a href="https://www.jessicamsmith.net/" data-outlook-id="f2ce2018-4c3a-4295-a387-1e2848a1bbaa" style="color: rgb(5, 99, 193); margin-top: 0px; margin-bottom: 0px;">Jessica
M. Smith</a></u></span></p>
<p style="margin: 0in; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: black;">Editor-in-chief,
</span><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: rgb(5, 99, 193);"><i><u><a href="https://www.tandfonline.com/journals/test20" data-outlook-id="f3595f4d-d474-40bc-b0fa-4a02da824a0a" style="color: rgb(5, 99, 193); margin-top: 0px; margin-bottom: 0px;">Engineering
Studies</a></u></i></span></p>
<p style="margin: 0in; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: black;">Professor,
</span><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: rgb(5, 99, 193);"><u><a href="https://www.mines.edu/eds/" data-outlook-id="73ae2800-c699-4cff-a760-1cff914b1552" style="color: rgb(5, 99, 193); margin-top: 0px; margin-bottom: 0px;">Engineering,
Design, and Society Department</a></u></span></p>
<p style="margin: 0in; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: black;">Colorado School of Mines</span></p>
<p style="margin: 0in; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Aptos, Arial, Helvetica, sans-serif; color: black;"> </span></p>
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