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Keolu Fox – Disrupting the Indigenous DNA SupplyChain (AI PHI Affinity Group)
September 1 @ 9:00 am - 10:00 amFree
Thank you for coming!
The recording for this meeting is available below:
Disrupting the Indigenous DNA SupplyChain
Just as oil was once the most valuable resource on earth, data has now taken its place, including genetic information. But like large tech companies being out of touch with their cobalt supply chain, Indigenous peoples face ongoing concerns around control and access to their data. This lecture will explore how Indigenous data governance can disruptthe current supply chain and transform the field of data science. By centering Indigenousknowledge and values, we can create a sustainable future where data and technology are harnessed to reclaim our past, revitalize our cultures, restore our lands, and empower future generations. Join us to learn about the potential of big data ecosystems and Indigenous governance of AI in 2023 and beyond.
Presented by Keolu Fox, PhD
Keolu Fox, PhD is a co-founder of the NativeBioData Consortium (NBDC) and an Assistant Professor at the University of California, San Diego (UCSD), where he also co-founded and co-directs the Indigenous Futures Institute. He has extensive experience in designing and engineering genome sequencing and editing technologies and focuses on the connection between raw data and the value of genomic health data from Indigenous communities. As the first Kānaka Maoli to receive a doctorate in genome sciences, he has a decade of grassroots experience in advancing precision medicine with Indigenous partners.
Artificial Intelligence in Cancer Research – AI PHI Affinity Group
(First Friday of each month)
This group was formed to discuss the current trends and applications of artificial intelligence in cancer research and clinical practice. The group brings together AI researchers in a variety of fields (computer science, engineering, nutrition, epidemiology radiology, etc) with clinicians and advocates. Students, trainees and faculty with any or no background in AI are encouraged to attend. The goal is to foster collaborative interactions to solve problems in cancer that were thought to be unsolvable a decade ago before the broad use of deep learning and AI in medicine.