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Juan Maestre <[log in to unmask]>
Wed, 5 Aug 2020 23:04:40 -0400
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CSCW 2020 Workshop:
“Decolonizing Learning Spaces for Sociotechnical Research and Design.”

As spaces for learning about Computer-Supported Collaborative Work (CSCW)
research and practice become more diverse, there is a pressing need to
revise the universal collaborative and pedagogical structures supporting
them. Specifically, it has become urgent to explore how to ‘de-center’
dominant assumptions about who learns in these environments. Our workshop
aims to collectively explore how to craft learning spaces that resist
universality by recognizing and valuing other perspectives and realities.
We will consider systemic roots of how learning spaces for socio-technical
research are setup, ways in which they can be reconfigured, and explore
potential research opportunities in the space.

We invite participants to submit contributions that critically reflect on
personal experiences in spaces for learning CSCW research and design
practices, including their efforts to have their voices heard, or promoting
conversations and connections to making CSCW learning spaces more welcoming
to diverse forms of knowledge and doing. We also invite participants who
have not yet heard of or thought of decolonizing practices, and welcome
their position papers to include a reflection on the potential and/or
limitations of this approach for CSCW.

To apply, please submit a position statement of between 3-6 pages.
References do not count towards the page limit.

There are two deadlines for submission:
August 16th, 2020 (11:59pm AOE). Acceptance notice: August 23rd, 2020.
September 20th, 2020 (11:59pm AOE). Acceptance notice: September 27th, 2020.

Please visit the workshop website
for more information.

Best Regards,
Workshop Organizers
Marisol Wong-Villacres, Georgia Institute of Technology
Adriana Alvarado García, Georgia Institute of Technology
Juan Fernando Maestre, Indiana University Bloomington
Pedro Reynolds-Cuéllar, Massachusetts Institute of Technology
Heloisa Candello, IBM Research Brazil
Marylin Iriarte, University of Maryland
Carl DiSalvo, Georgia Institute of Technology

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