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HCI has long considered sites of workplace collaboration. From airline cockpits to distributed groupware systems, scholars emphasize the importance of supporting a multitude of tasks and creating technologies that integrate into collaborative work settings. More recent scholarship highlights a growing need to consider the concerns of workers within and beyond established workplace settings or roles of employment, from steelworkers whose jobs have been eliminated with post-industrial shifts in the economy to contractors performing the content moderation that shapes our social media experiences. This one-day workshop seeks to bring together a growing community of HCI scholars concerned with the labor upon which the future of work we envision relies. We will discuss existing methods for studying work that we find both productive and problematic, with the aim of understanding how we might better bridge current gaps in research, policy, and practice. Such conversations will focus on the challenges associated with taking a worker-oriented approach and outline concrete methods and strategies for conducting research on labor in changing industrial, political, and environmental contexts.

This paper provides insight into the use of data tools in the American labor movement by analyzing the practices of staff employed by unions to organize alongside union members. We interviewed 23 field-level staff organizers about how they use data tools to evaluate membership. We find that organizers work around and outside of these tools to develop access to data for union members and calibrate data representations to meet local needs. Organizers mediate between local and central versions of the data, and draw on their contextual knowledge to challenge campaign strategy. We argue that networked data tools can compound field organizers' lack of discretion, making it more difficult for unions to assess and act on the will of union membership. We show how the use of networked data tools can lead to less accurate data, and discuss how bottom-up approaches to data gathering can support more accurate membership assessments.

Community + Culture features practitioner perspectives on designing technologies for and with communities. We highlight compelling projects and provocative points of view that speak to both community technology practice and the interaction design field as a whole. --- Christopher A. Le Dantec, Editor

To gain historical perspective on the role of technical expertise in the labor movement, we explore the data-driven practices of mid-century American labor unionists who appropriated techniques from scientific management to advocate for workers. Analyzing the data artifacts and academic writings of the Management Engineering department of the International Ladies Garment Workers Union, we describe the rhetorical use of data within a mutual-gains model of participation. We draw insights from the challenges faced by the department, assess the feasibility of implementing these approaches in the present, and identify opportunities for the participatory design of workplace advocacy systems moving forward.

In this chapter we analyze the rhetorical work of speculative design methods to advance third wave agendas in HCI. We contrast the history of speculative design that is often cited in HCI papers from the mid 2000s onward that frames speculative design as a critical methodological intervention in HCI linked to radical art practice and critical theory, with the history of how speculative design was introduced to HCI publications through corporate design research initiatives from the RED group at Xerox PARC. Our argument is that third wave, critically oriented, speculative design “works” in HCI because it is highly compatible with other forms of conventional corporate speculation (e.g. concept videos and scenario planning). This reading of speculative design re-centers the “criticality” from the method itself to its ability to advance agendas that challenge dominant practices in technology design. We will look at how practitioners trade on the rhetorical ambiguity of future oriented design practices to introduce these ideas in contexts where they may not otherwise have much purchase. Our chapter concludes with a call for critically oriented practitioners in this space to share their experiences navigating speculative design ambiguity and to document the disciplinary history of the method’s development.

Since Dourish's critique of 'implications for design' [15], researchers have asked how design and ethnography should or could relate in HCI. Here we reflect on two experiences with cross-informing ongoing ethnographic investigation with the early stages of research through design. One uses speculative design to reflect on and inform ethnographic fieldwork on busyness in middle-class familes; the other uses speculative design to complement late-stage analysis of a historical ethnography of rural technological infrastructure. Rather than trying to do away with the gap between ethnography and design by seamlessly integrating the two processes, we reworked the relationship between ethnography and design by closing the gap in the temporal workflows while simultaneously maintaining a distinction in the performance of the two roles. We found that this new gap resulted in a series of misunderstandings; but by putting the two roles in active dialogue, we were able leverage misunderstandings into mutual benefit.

We describe a method for critically informed development of new technical systems by combining analysis of historical discourse with critical technical practice. We take the case of social recommender systems, a class of algorithms that calculate which people should be recommended to whom. We demonstrate similarities between limitations of "social network" rhetoric in contemporary social matching algorithms and discourse on planning in Artificial Intelligence. We develop an algorithm for social matching that recombines "lost" ideas from the history of AI, orienting around situated behavior and algorithmic transparency. By implementing this approach in a functioning prototype called "the Strangerationist", we examine directly how conceptual commitments inform low-level technical decisions, and how available technologies shape conceptual vision. Our goal is not to design a "better" algorithm but to explore the challenges and opportunities of weaving together historical discourse and critical analysis of values embedded in technology with the experience of designing it.

We present an interview study of 34 participants in the US and Korea who described how they manage their personal data, from work files to family photos. Through their 'data narratives' - accounts of their data management practices, including device usage patterns and negotiations with system and brand ecosystems' we explore how individuals negotiate a complex, multi-service, and morally-charged sociotechnical landscape, balancing demands to share and to safeguard their data in appropriate ways against a shifting background of changing technologies, relationships, individuals, and corporations. We describe the guiding framework that people use to make decisions as a 'moral economy' of data management, contributing to our understanding of context-specific system choices.

This day-long workshop aims to support and grow the community of CSCW and NCI scholars that investigate the past to inform the design, critique and conceptualization of technology. At this workshop, we will learn from examples of historically-based CSCW and HCI work, explore issues in historical method that come up in such work, share methods and techniques, provide feedback and support to ongoing investigations; and define a shared agenda for future research on this topic. The workshop will also highlight research and methods that focus on non-Western contexts and that give voice to historically marginalized groups. Based on the workshop, we will develop a white paper and a website that will collect resources to support CSCW based historical investigations.