This article offers Ancestral Computing for Sustainability (ACS) to dismantle the logics of settler colonialism that affect accessibility, identities, and epistemologies of computer science education (CSE). ACS centers Indigenous epistemologies in researching CSE across four public universities in the United States. This paper describes Ancestral Computing for Sustainability and explores reflections of two students engaging as researchers in ACS inquiry. Drawing on Indigenous methodologies and Participatory Action Research, they share their reflections as co-researchers in ACS through storywork. These critical reflections include their relationship to computing, observations of the interdependent work within ACS, ethics and sustainability, and their experiences within the focus groups. The article ends with recommendations for furthering ACS as a decolonial approach that centers Indigenous epistemologies in CSE. Recommendations for CSE education include Ancestral Knowledge Systems and adding sustainability as a topic within computing education pathways and building student-faculty relationships based on trust is recommended to foster students’ academic and personal growth within CSE education and research.

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Exploring Computer Science (ECS) [1] spawned from the need to provide access to Computer Science to everyone in the US. The success and commitment to equity and diversity of the ECS curriculum in Latina/o communities inspired an interdisciplinary group of educators from the University of Puerto Rico to tackle the lack of K-12 CSE on the island. This group recognized the need to implode the self-perception of Latinas (os) as being foreign to computing by educating them about Computer Science. Teachers were identified as the catalyst change agents to transform Puerto Ricans students into contributors and creators of technology through computing. The intended audience for this panel consists of practitioners and creators of curriculum looking for creative strategies to engage students from diverse cultural backgrounds in computing using their native language.

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