Dr Stephanie Russo Carroll1
1University of Arizona
Biography:
Dr. Stephanie Russo Carroll (she/her) is Ahtna, a citizen of the Native Village of Kluti-Kaah in Alaska, and of Sicilian-descent. Based at the University of Arizona (UA), she is Associate Professor, Public Health and American Indian Studies Graduate Interdisciplinary Program; Associate Research Professor, Udall Center for Studies in Public Policy and its Native Nations Institute; and Affiliate Faculty in the College of Law. Stephanie co-directs the Indigenous Data Alliance and directs the interdisciplinary research group the Collaboratory for Indigenous Data Governance which develops research, policy, and practice innovations for Indigenous Data Sovereignty. Her research, teaching, and engagement seek to transform institutional governance and ethics for Indigenous control of Indigenous data, particularly within open science, open data, and big data contexts. Stephanie co-edited the book Indigenous Data Sovereignty and Policy and led the publication of the CARE Principles for Indigenous Data Governance. Stephanie co-founded the US Indigenous Data Sovereignty Network and co-founded and chairs the Global Indigenous Data Alliance (GIDA), the International Indigenous Data Sovereignty Interest Group at the Research Data Alliance, and the Indigenous Data Working Group for the IEEE P2890 Recommended Practice for Provenance of Indigenous Peoples’ Data. Stephanie is a founding board member for the Copper River Tribal College in Chitina, Alaska. Stephanie received her AB from Cornell University and MPH and DrPH from the UA. Stephanie’s research explores the links between Indigenous governance, data, the environment, and community wellness. Stephanie offers Indigenous women-led mentoring of undergraduate students through junior faculty and research staff with the goal of producing policy-relevant research through skill and knowledge acquisition that forefront Indigenous ways of knowing and being.
Abstract:
Vast quantities of Indigenous Peoples’ data reside within other data actors’ institutions and repositories, while data proliferation and collection continues on a massive scale globally. The CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics) are designed to guide the inclusion of Indigenous Peoples in data governance, increase their access to, and benefit from, data, and direct those who interact with Indigenous data to the communities from which the data emerge or are related to for guidance on governing those data. This talk will present (1) foundations of Indigenous Data Sovereignty and Governance; (2) share tools and resources that can be leveraged to implement the CARE Principles within repositories and institutions that hold Indigenous data including the IEEE Recommended Practice for the Provenance of Indigenous Peoples’ Data, the CARE Data Maturity Model (CARE DMM), the Guidelines for Governance of Indigenous Data in Scholarly Publishing, and the Guidance for Indigenous Collections and Indigenous Data: Recommendations from Creative Commons and Local Contexts; and (3) discuss Artificial Intelligence through the lens of Indigenous Data Sovereignty.
