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Data Sovereignty for Native Communities
Andrea M. Delgado-Olson · Michael Running Wolf · Caroline Running Wolf · Ian Her Many Horses · Caleb Moses

Wed Dec 08 11:45 AM -- 12:30 PM (PST) @ None

This talk between Indigenous technologists, with academic, non-profit, and corporate experience, will dive into the risks and possible models to protect Native Data.

In an era of Big Data, for applications like AI, what does Data Sovereignty look like for Indigenous knowledge? Trust and technology for Indigenous Nations have not been favorable for preserving our knowledge and language without the threat of ceding knowledge to non community members. Licenses for open source technologies are vague and do not protect traditional knowledge systems and invite exploitation. Join our talk to find out how your community can retain sovereignty of your community’s data.

Author Information

Andrea M. Delgado-Olson (Natives in Tech)
Michael Running Wolf (Indigenous in AI)

Working in industry on Big Data and Indigenous Machine Learning projects.

Caroline Running Wolf (UBC)

Caroline Running Wolf, nee Old Coyote, is an enrolled member of the Apsáalooke Nation (Crow) in Montana, with a Swabian (German) mother and also Pikuni, Oglala, and Ho-Chunk heritage. Thanks to her genuine interest in people and their stories she is a multilingual Cultural Acclimation Artist dedicated to supporting Indigenous language and culture vitality. Together with her husband, Michael Running Wolf, they create virtual and augmented reality experiences to advocate for Native American voices, languages and cultures. Caroline has a Master’s degree in Native American Studies from Montana State University in Bozeman, Montana. She is currently pursuing her PhD at the University of British Columbia in Vancouver, Canada.

Ian Her Many Horses (University of Colorado - Boulder)

Ian Her Many Horses is an Assistant Teaching Professor for CU Teach, the STEM teacher education program at the University of Colorado Boulder. He is a member of the Sicangu Lakota Oyate and is a math and computer science educator and researcher. His work centers on creating equitable access to, and meaningful learning experiences within, computer science across the K-12 schooling system. This has included developing and implementing curricula, software tools to support novice learners, and professional development for practicing teachers in schools that are not readily able to access and offer computer science learning experiences.

Caleb Moses (Dragon Fly)

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