Public Lab: Community-Based Approaches to Urban and Environmental Health and Justice.

This paper explores three cases of Do-It-Yourself, open-source technologies developed within the diverse array of topics and themes in the communities around the Public Laboratory for Open Technology and Science (Public Lab). These cases focus on aerial mapping, water quality monitoring and civic science practices. The techniques discussed have in common the use of accessible, community-built technologies for acquiring data. They are also concerned with embedding collaborative and open source principles into the objects, tools, social formations and data sharing practices that emerge from these inquiries. The focus is on developing processes of collaborative design and experimentation through material engagement with technology and issues of concern. Problem-solving, here, is a tactic, while the strategy is an ongoing engagement with the problem of participation in its technological, social and political dimensions especially considering the increasing centralization and specialization of scientific and technological expertise. The authors also discuss and reflect on the Public Lab's approach to civic science in light of ideas and practices of citizen/civic veillance, or "sousveillance", by emphasizing people before data, and by investigating the new ways of seeing and doing that this shift in perspective might provide.

Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence.

Gender-related violence against women and its lethal outcome, feminicide, are a serious problem throughout the world. Official government data on gender violence and feminicide are often absent, incomplete, infrequently updated, and contested. We draw on data feminism to situate feminicide data as missing data. Building on qualitative interviews, this study discusses the informatic work of ten activist and civil society organizations across six countries who combat missing data by producing counterdata. Activists enact alternative epistemological approaches to data science that center care, memory, and justice. Activists also face significant information challenges that increase monitoring labor and add emotional burden to reading about violent deaths. This work contributes to literature on data activism and critical data studies, proposing feminicide data practices as an important research subject. The empirical insights contribute to human-computer interaction (HCI) research, suggesting ways that the field may support and sustain the counterdata production practices of activists.

Seven intersectional feminist principles for equitable and actionable COVID-19 data.

This essay offers seven intersectional feminist principles for equitable and actionable COVID-19 data, drawing from the authors' prior work on data feminism. Our book, Data Feminism (D'Ignazio and Klein, 2020), offers seven principles which suggest possible points of entry for challenging and changing power imbalances in data science. In this essay, we offer seven sets of examples, one inspired by each of our principles, for both identifying existing power imbalances with respect to the impact of the novel coronavirus and its response, and for beginning the work of change.