EGU22-1914
https://doi.org/10.5194/egusphere-egu22-1914
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Exploring Algorithmic Justice and Planetary Science with Families from Diverse Migration Backgrounds

Autumn Brown
Autumn Brown
  • Trinity College Dublin, Education, Ireland (browna3@tcd.ie)

Tech Scéal, an Irish initiative, exploring algorithmic justice, robotics, and the future of planetary science with migrant and refugee families. The topics and approaches were directly informed by the learners themselves through informal discussions held during the plenary period of the project. From these conversations, a series emerged which focused on creative coding and robotics as cultural tools and ways to imagine, create, and claim a more just and joyful technological future. Grounded in story work and a based on a role playing tabletop gaming format, learners set out to remake relationships with with technology in a way that leveraged and contributed to the cultural practices of their communities. This research project also supported playful intergenerational learning opportunities during the pandemic, where families could gather online to share stories and create new knowledge around subjects of personal interest. Results including the impacts on the identity, attitudes, and learnings of participants will be shared as well as key takeaways of working with participants from diverse migration backgrounds.

How to cite: Brown, A.: Exploring Algorithmic Justice and Planetary Science with Families from Diverse Migration Backgrounds, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1914, https://doi.org/10.5194/egusphere-egu22-1914, 2022.