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Past CSCW work has examined the role of temporal rhythms in cooperative work and has identified alignment work--the work required to bring dissonant rhythms into alignment--as an important aspect of large-scale collaboration. We ask instead how individual workers interact with temporal rhythms to sustain the conditions that make their work possible--not aligning rhythms, but attuning them. This paper draws on interviews with farmer-knowledge workers, people who engage with both farm work (the work of growing food or raising animals for food, on a commercial or non-commercial basis) and computer-based knowledge work. We identify three ways that farmer-knowledge workers interact with natural and structural rhythms to construct sustainable work-lives: anchoring (tying oneself to a particular rhythm to create accountability and structure), decoupling (loosening or cutting ties with a rhythm to create flexibility), and gap-filling (interweaving complementary rhythms to create balance). Together, these practices constitute attunement work. 

Why do social computing projects aimed at alleviating social inequality fail? This paper investigates this question through a qualitative interview study with 25 individuals working to address the problem of wage theft in the United States (US) context. Our analyses uncover failures at three levels or scales of interaction: one, failures at the individual level of technology adoption; two, relational failures (i.e., the anti-labor worker/employer dynamic in the US); and three, institutional or macro-level failures. Taken together, these various failings point to larger, structural forces that negatively fate pro-labor projects’ trajectories – i.e., capitalism. Capitalism's incarnations in the US play a significant and at times harsh grip in steering the path of social computing design projects. In this paper, we untangle the relationship between capitalism and social computing, providing an analytic framework to tease apart this complex relationship, the lessons learned from our empirical data, as well as ways forward for future, pro-labor, social computing projects. 

Technologies in the workplace have been a major focus of CSCW, including studies that investigate technologies for collaborative work, explore new work environments, and address the importance of political and organizational aspects of technologies in workplaces. Emerging technologies, such as AI and robotics, have been deployed in various workplaces, and their proliferation is rapidly expanding. These technologies have not only changed the nature of work but also reinforced power and social dynamics within workplaces, requiring us to rethink the legitimate relationship between emerging technologies and human workers. It will be critical to the development of equitable future work arrangements to identify how these emerging technologies will develop relationships with human workers who have limited power and voice in their workplaces. How can these emerging technologies develop mutually beneficial partnerships with human workers? In this one-day workshop, we seek to illustrate the meaning of human-machine partnerships (HMP) by highlighting that how we define HMP may shape the design of future robots at work. By incorporating interdisciplinary perspectives, we aim to develop a taxonomy of HMP by which we can broaden our relationship with embodied agents but also evaluate and reconsider existing theoretical, methodological, and epistemological challenges in HMP research.