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Manoomin, the Ojibwe word for Northern Wild Rice, is a culturally significant food source native to the Western Great Lakes region of North America. For generations, Manoomin stewardship has been central to Ojibwe culture and identity, harvested using traditional methods which respect and enrich its growth. Recent years have shown a decline in Manoomin’s natural occurrence due to land-use change and global warming. As part of a broader conservation effort, our team has collaborated with Tribal partners to build Makak, a low-cost microclimate sensor that monitors factors affecting wild rice to support Tribal sovereignty. This article details our co-design and pilot deployment in collaboration with four partner organizations. Through this work, we share our experiences, and lessons learned from the co-design process with Tribal partners. With this work, we aim to provide insights to other projects that promote Indigenous-centric participatory, collaborative design methods for conservation and environmental sustainability. 

In 2011, the United Nations declared Internet access to be a basic human right. Achieving universal Internet access has been a longstanding goal of governments around the world. In the United States (US), provision depends primarily on decisions made by Internet Service Providers (ISPs) driven essentially by commercial market concerns. To encourage deployment in underserved regions, the US federal government has recently allocated unprecedented funding, with distributions guided by the information in broadband maps, spatial representations of current Internet access and quality published by the Federal Communication Commission. Yet, these maps are known to be inaccurate, especially for populations that are marginalized, such as tribal and rural residents. We are interested in the collaborative and contentious efforts to repair the data contained in broadband maps, and particularly by the efforts of citizen groups and local government to counter claims made by ISPs. In this paper, we study these efforts via interviews of 14 individuals involved in various local and regional roles, in policy, IT, advocacy, and research. We draw upon frameworks of repair and of data activism to ask who does this work and why; what tangible and intangible tools are brought to bear; and how the structural context simultaneously empowers and burdens repair workers. In doing so, we make three contributions: (i) we critique the process and system for broadband map repair for the burdens it places on historically marginalized groups to demonstrate how they have been left out of expansion and how their experiences are otherwise silent in official records; (ii) we bring together analytical concepts from repair and data arenas to examine repair work that is substantially shaped by socio, political, and economic context; and (iii) we illustrate how viewing broadband data workers as activists reveals the inadequacy of current tools and the opportunity for better support for their long-term, contextualized, and mediated efforts. 

Current environmental challenges have profound local consequences and often benefit from the collection of fine-grained microclimate data. Advances in wireless sensor networks and the Internet of Things have led to technologies nominally suited to support remote sensing; however, in practice long-running deployments of in-field environmental sensors are rare. Field conditions are often remote and culturally sensitive, with limited power, Internet, transportation, and human infrastructure; advances in device technology alone will not suffice. We ask how communities, Internet of Things researchers, government, and other interested parties can work together to co-design useful, low burden, sustainability-focused infrastructure. Toward this end, we conducted 11 semi-structured interviews with 13 experts who use or rely on environmental sensing technology. To complement our interview data, we engaged in three months of participant observation while immersed in organizations specifically working toward manoomin (wild rice) conservation. We make two primary contributions. First, we confirm and enrich a five-stage model, the microclimate sensor lifecycle, focusing on desired features and persistent challenges. Second, we outline a space for co-design of microclimate sensors with emphasis on the cost of experience, the generally unaddressed issue of technical usability in the messy field, and the opportunity for community engagement to improve technical design and outcomes. Furthermore, we discuss future design opportunities, recommendations, and challenges in the microclimate sensor design, deployment, and sustainability space. 

Video Conferencing Applications (VCAs) that support remote work and education have increased in use over the last two years, contributing to Internet bandwidth usage. VCA clients transmit video and audio to each other in peer-to-peer mode or through a bridge known as a Selective Forwarding Unit (SFU). Popular VCAs implement congestion control in the application layer over UDP and accomplish rate adjustment through video rate control, ultimately affecting end user Quality of Experience(QoE). Researchers have reported on the throughput and video metric performance of specific VCAs using structuredexperiments. Yet prior work rarely examines the interaction between congestion control mechanisms and rate adjustment techniques that produces the observed throughput and QoE metrics. Understanding this interaction at a functional level paves the way to explain observed performance, to pinpoint commonalities and key functional differences across VCAs, and to contemplate opportunities for innovation. To that end, we first design and conduct detailed measurements of three VCAs(WebRTC/Jitsi, Zoom, Blue Jeans) to develop understanding of their congestion and video rate control mechanisms. We then use the measurement results to derive our functional models for the VCA client and SFU. Our models reveal the complexity of these systems and demonstrate how, despite some uniformity in function deployment, there is significant variability among the VCAs in the implementation of these functions. 

Scholars and public figures have called for improved ethics and social responsibility education in computer science degree programs in order to better address consequential technological issues in society. Indeed, rising public concern about computing technologies arguably represents an existential threat to the credibility of the computing profession itself. Despite these increasing calls, relatively little is known about the ethical development and beliefs of computer science students, especially compared to other science and engineering students. Gaps in scholarly research make it difficult to effectively design and evaluate ethics education interventions in computer science. Therefore, there is a pressing need for additional empirical study regarding the development of ethical attitudes in computer science students. Influenced by the Professional Social Responsibility Development Model, this study explores personal and professional social responsibility attitudes among undergraduate computing students. Using survey results from a sample of 982 students (including 184 computing majors) who graduated from a large engineering institution between 2017 and 2021, we compare social responsibility attitudes cross-sectionally among computer science students, engineering students, other STEM students, and non-STEM students. Study findings indicate computer science students have statistically significantly lower social responsibility attitudes than their peers in other science and engineering disciplines. In light of growing ethical concerns about the computing profession, this study provides evidence about extant challenges in computing education and buttresses calls for more effective development of social responsibility in computing students. We discuss implications for undergraduate computing programs, ethics education, and opportunities for future research. 

Needed improvements to mobile broadband deployment require more accurate mapping of mobile coverage, especially in rural and tribal areas. 

Disruption to routines is an increasingly common part of everyday life. With the roots of some disruptions in the interconnectedness of the world and environmental and socio-political instability, there is good reason to believe that conditions that cause widespread disruption will persist. Individuals, communities, and systems are thus challenged to engage in resilience practices to deal with both acute and chronic disruption. Our interest is in chronic, everyday resilience, and the role of both technology and non-technical adaptation practices engaged by individuals and communities, with a specific focus on practices centered in nature. Foregrounding nature's role allows close examination of environmental adversity and nature as part of adaptivity. We add to the CSCW and HCI literature on resilience by examining long-distance hikers, for whom both the sources of adversity and the mitigating resilience processes cut across the social, the technical, and the environmental. In interviews with 12 long-distance hikers we find resilience practices that draw upon technology, writ large, and nature in novel assemblages, and leverage fluid configurations of the individual and the community. We place our findings in the context of a definition for resilience that emphasizes a systems view at multiple scales of social organization. We make three primary contributions: (1) we contribute an empirical account of resilience in a contextual setting that complements prior CSCW resilience studies, (2) we add nuance to existing models for resilience to reflect the role of technology as both a resilience tool and a source of adversity, and (3) we identify the need for new designs that integrate nature into systems as a way to foster collaborative resilience. This nuanced understanding of the role of technology in individual and community resilience in and with nature provides direction for technology design that may be useful for everyday disrupted life.