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The Data Sovereignty Initiative is a collection of ideas that forms the data sovereignty framework. The data sovereignty framework conceptually is an intriguing way to incorporate a nation building approach, coupled with higher education as the foundation for integration of data science throughout Indian country. The term Indian country is a term that has been defined as “country within which Indian laws and customs and federal laws (United States) relating to Indians are generally acceptable”.
Initially, the goal was to critically examine Federal Indian Law and policy to better understand how the use of data could be used in American Indian tribes’ economic planning and development. The foundations of this framework have evolved into a proof of concept system of data collection and practice that involve the use of four key indicators addressing not only analytical data driven metrics, but cultural and tribal governance metrics. In a nation building approach, governing institutions match indigenous political culture.
SMART Solutions for Tribal Communities:
Using Machine Learning and AI to Change
the way We Think About Economic Development
Mato Ohitika is currently working on Machine Learning and Artificial Intelligence Research and Development to create unique data science digital infrastructure for tribes to use in nation building, strategic planning, and economic development. Please contact Mato Ohitika Analytics to learn more about this.
Keywords: Data Sovereignty, American Indian, Native American, Data Science, Data Analytics, Data Analysis, Statistics, Machine Learning, Artificial Intelligence, nation building, community building, tribal sovereignty, American Indian tribes, federal indian law.
Specializing in American Indian and
Tribal Government Data Science Solutions
including Machine Learning and
Artificial Intelligence Research and Development
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