Participation is important to Human–Computer Interaction; yet, there are few empirical accounts of how it can be enacted in practice when working with at-risk communities under safety and precarity concerns. This paper offers an account of a six-year, community-led collaboration with an organization supporting individuals affected by forced marriage in Switzerland, centered on the design, development, and handover of a digital self-help tool. Rather than centering the artifact, we use its creation as an analytic lens to examine how design justice principles were enacted and negotiated through concrete decisions, boundaries, and compromises within a highly sensitive, care-centered context. Our account illustrates how justice-oriented participation can be sustained through rights-based and trust-negotiated forms of engagement, even when participation is necessarily uneven, selective, unsafe, or time-limited. This paper contributes process-level insights for HCI researchers and practitioners designing with at-risk communities, foregrounding shared decision-making, community ownership, and responsible handover within existing ecologies of care.

Generative artificial intelligence (AI) is reshaping creative work; however, its integration is neither uniform nor inevitable. We examine video game development, a multidisciplinary domain spanning art, programming, narrative, and design, as a critical site where workers actively negotiate the AI integration. Drawing on interviews with game creatives and informed by a political economy lens, we trace the structural conditions shaping AI adoption, the strategies creatives employ to selectively incorporate AI while maintaining critical distance, and the tensions produced by capitalist imperatives that provoke their resistance to AI. We articulate design tensions and the politics of AI integration in game development and adjacent creative domains. In doing so, our study intervenes in AI design discourse by challenging narratives of technological inevitability as well as labor and value extraction, towards envisioning possibilities for creative AI grounded in human agency.

Peer review determines which scholarship is legitimized; however, review biases often disadvantage scholarship that diverges from the norm. Human–Computer Interaction (HCI) lacks a systemic inquiry into how such biases affect underrepresented Global South (GS) scholarship. To address this critical gap, we conducted four focus groups with 16 HCI researchers studying the GS. Participants reported experiencing reviews that confined them to development research, dismissed their theoretical contributions, and questioned situated knowledge from GS communities. Both as authors and reviewers, participants reported experiencing the epistemic burden of over-explaining why knowledge from GS communities matters. Further, they noted being tokenized as “cultural experts” when assigned to review papers and pointed out that the hidden curriculum of writing HCI papers often gatekeeps GS scholarship. Using epistemic oppression as a lens, we discuss how review practices marginalize GS scholarship and outline actionable strategies for nurturing equitable epistemological evaluation of HCI scholarship.

Data-driven systems, such as satellite imagery, often dictate urban planning; however, they frequently neglect local, situated, and embodied knowledges. This paper examines the epistemic, political, and socio-ecological frictions that surface when city data (e.g., aerial imagery and administrative records) is brought into dialogue with community data (e.g., lived experiences and shared epistemologies) to guide more equitable urban planning. We employ Research through Design, complemented by ethnographic inquiry and auto-ethnographic reflection, to create a speculative probe that helps foreground the frictions embedded in urban data infrastructures in Bangalore, India. Our analysis reveals the limitations of dominant top-down urban data systems, which routinely obscure socio-ecological dependencies and selectively define what constitutes legitimate urban knowledge. We employ environmental justice as an analytical lens to analyze our findings, highlighting how urban data infrastructures can reproduce or contest inequalities and identify opportunities to foreground care, accountability, and equity, particularly in postcolonial contexts, toward cultivating socially just and climate-resilient urban futures.

Participatory approaches may empower community members toward their development; however, structural and identity-based factors may impede participation. It becomes imperative to critically examine the politics, dynamics, and rhetoric of participation in development contexts. We deconstruct the meaning, means, and need for participation by situating our study in the Indian government's growing efforts to digitalize a nationwide scheme implemented to support rural farmers' participation in natural resource management (NRM) to achieve secure employment and build climate change resilience. Capturing the situated essence through field studies that include observations, interviews, and focus groups, we systematically analyze challenges to participation in NRM and uncover the technological gaps affecting its workflow digitalization. We discuss sociotechnical considerations to meaningfully design and integrate digital technologies toward supporting equitable participation in achieving sustainable development.

Human–Computer Interaction (HCI) researchers have increasingly been questioning computing’s engagement with unsustainable and unjust economic growth, pushing for identifying alternatives. Incorporating degrowth, post-development, and steady-state approaches, post-growth philosophy offers an alternative not rooted in growth but in improving quality of life. It recommends an equitable reduction in resource use through sensible distributive practices where fulfillment is based on values including solidarity, cooperation, care, social justice, and localized development. In this paper, we describe opportunities for HCI to take a post-growth orientation in research, design, and practice to reimagine the design of sociotechnical systems toward advancing sustainable, just, and humane futures. We aim for the critiques, concerns, and recommendations offered by post-growth to be integrated into transformative HCI practices for technology-mediated change.

Digitalization has motivated romance novelists to move from traditional to self-publishing online. However, engagement with flexible and responsive, yet precarious and biased algorithmic systems online pose challenges for novelists. Through surveying and interviewing the novelists, and using the lens of feminist political economy, we investigate how digitalization has impacted the novelists’ work practices. Our findings detail the increased agency afforded by self-publishing online, which comes at the expense of performing new forms of work individually, collectively, and with assistance, otherwise performed by publishing houses. We focus on the immaterial, invisible, and unpaid work that the novelists and the ecology of workers surrounding them conducted. We make recommendations for designing digital labor platforms that support the work practices of self-employed digital workers toward a more sustainable, collective, and inclusive future(s) of work.

Many romance novelists have shifted to self-publishing mediated through online technologies, such as online retailer platforms for selling novels and social media for marketing. However, engagement with such complex algorithmic systems has posed challenges, including understanding continually changing algorithms, frequently changing silently, impacting novelists' successful professionalization and monetization. We conducted surveys and interviews with romance novelists to examine how they experience, interpret, and navigate algorithms. Our findings detail interviewees' efforts to comprehend algorithms, both individually and collectively, and leverage that comprehension to navigate and manipulate algorithms. We discuss how our interviewees constructed literacy of precarious algorithms on their work platforms, suggesting implications for designing algorithmic systems supporting digital work.