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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. 

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. 

In January and April 2021 we held the Workshop on Overcoming Measurement Barriers to Internet Research (WOMBIR) with the goal of understanding challenges in network and security data set collection and sharing. Most workshop attendees provided white papers describing their perspectives, and many participated in short-talks and discussion in two virtual workshops over five days. That discussion produced consensus around several points. First, many aspects of the Internet are characterized by decreasing visibility of important network properties, which is in tension with the Internet's role as critical infrastructure. We discussed three specific research areas that illustrate this tension: security, Internet access; and mobile networking. We discussed visibility challenges at all layers of the networking stack, and the challenge of gathering data and validating inferences. Important data sets require longitudinal (long-term, ongoing) data collection and sharing, support for which is more challenging for Internet research than other fields. We discussed why a combination of technical and policy methods are necessary to safeguard privacy when using or sharing measurement data. Workshop participant proposed several opportunities to accelerate progress, some of which require coordination across government, industry, and academia. 

Researching and designing Internet infrastructure solutions in rural and tribal contexts requires reciprocal relationships between researchers and community partners. Methodologies must be meaningful amid local social textures of life. Achieving transdisciplinarity while relating research impacts to partner communities takes care work, particularly where technical capacity is scarce. The Full Circle Framework is an action research full stack development methodology that foregrounds reciprocity among researchers, communities, and sovereign Native nations as the axis for research purpose and progress. Applying the framework to deploy television white space infrastructure in sovereign Native nations in northern New Mexico reveals challenges for rural computing, including the need to design projects according to the pace of rural and tribal government workflows, cultivate care as a resource for overworked researchers and community partners, and co-create a demand for accurate government data around Internet infrastructures in Indian Country and through rural counties. 

To keep up with demand, servers will scale up to handle hundreds of thousands of clients simultaneously. Much of the focus of the community has been on scaling servers in terms of aggregate traffic intensity (packets transmitted per second). However, bottlenecks caused by the increasing number of concurrent clients, resulting in a large number of concurrent flows, have received little attention. In this work, we focus on identifying such bottlenecks. In particular, we define two broad categories of problems; namely, admitting more packets into the network stack than can be handled efficiently, and increasing per-packet overhead within the stack. We show that these problems contribute to high CPU usage and network performance degradation in terms of aggregate throughput and RTT. Our measurement and analysis are performed in the context of the Linux networking stack, the most widely used publicly available networking stack. Further, we discuss the relevance of our findings to other network stacks. The goal of our work is to highlight considerations required in the design of future networking stacks to enable efficient handling of large numbers of clients and flows