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Collective Organizing and Social Responsibility at CSCW

Devansh Saxena, Erhardt Graeff, Shion Guha, EunJeong Cheon, Pedro Reynolds-Cuéllar, Dawn Walker, Christoph Becker, and Kenneth R. Fleischmann. 2020. Collective Organizing and Social Responsibility at CSCW. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (CSCW ’20 Companion). Association for Computing Machinery, New York, NY, USA, 503–509. https://doi.org/10.1145/3406865.3418593

Link

https://dl.acm.org/doi/10.1145/3406865.3418593

Abstract

The CSCW community has long discussed the ethics and politics of sociotechnical systems and how they become embedded in society and public policy. In light of the Black Lives Matter protests and Hong Kong protests, technologies such as facial recognition and contact tracing have re-invigorated conversations about the ethical and social responsibility of tech corporations, tech workers, and academics in science and technology. The goal of this workshop is to move beyond a call for the usual suspects of participatory design and human-centered design by committing to concrete steps to transform society through advocacy and activism.

Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics

Catherine D’Ignazio, Erhardt Graeff, Christina N. Harrington, and Daniela K. Rosner. 2020. Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (CSCW ’20 Companion). Association for Computing Machinery, New York, NY, USA, 437–445. https://doi.org/10.1145/3406865.3418588

Link

https://dl.acm.org/doi/10.1145/3406865.3418588

Abstract

CSCW, like many other academic communities, is reckoning with its roles, responsibilities, and practices amidst 2020’s multiple pandemics of COVID-19, anti-Black racism, and a global economic crisis. Reviewing our work with data and communities demands we address harms from overexposure caused by surveillance or algorithmic bias and from underexposure caused by design that is insufficiently participatory and equitable. This workshop will elicit narratives of good and bad design and data work with communities, apply the lenses of equitable participatory design and data feminism to current CSCW projects and our global context, and develop practical outputs for supporting academics and practitioners in pursuit of democratic and just partnerships.