Happy summer!

2019 has been a whirlwind of different things for Mato Ohitika Analytics. After over a year of gathering intelligence, I have begun moving towards my strategic plan in machine learning and artificial intelligence. To begin this process, I have been working on the Data Sovereignty Initiative White Paper.

This white paper is basically outlines the key concepts contained in my doctoral dissertation, The Impact of Data Sovereignty on American Indian Self-Determination: A Framework Proof of Concept Using Data Science, to appropriately govern decisions that are made in data analytics, data science, and particularly in the ethical use of machine learning and artificial intelligence.

This effort has been the result of many things I have learned in studying the tech sector and the ongoing issue in privacy and bias in machine learning algorithms. The bulk of my research was to fundamentally design systems that seek to understand the context of culture and how this can be strategically positioned when making scientific inquiries in indigenous communities, and more specifically American Indian tribal communities.

Most people are not aware of the body of Federal Indian Law that governs many decisions American Indian tribal governments can make with respect to their sovereignty and how that relates to their self-determination. These issues are not specific just to American Indian tribes, but the case law is. Any quick search on the internet will reveal the commonality that many indigenous communities face with loss of culture and land base is not an isolated phenomena.

This is why I began designing the data sovereignty framework, a proof of concept to foster a new discussion on ways to promote economic development and nation building using citizen science at its heart.

I wrote in my doctoral work about the citizen science concept:

Citizen Science refers to the general public engagement in scientific research activities when citizens actively contribute to science either with their intellectual effort or surrounding knowledge or with their tools and resources.

The ongoing work in citizen science is another new constantly evolving concept. The European Citizen Science Association (ECSA) is one of the active organizations in developing ethics and principles that guide best practices. The ECSA asserts “Sharing best practices and building capacity” in citizen science is a flexible concept that can be adapted and applied within diverse situations and disciplines.

This concept is similar to our community values and was an easy fit to design the data sovereignty framework in this way to assist community members doing the work by training them in the technical aspects of the applied principles and creating ownership of the work they do everyday. This process is a “living” process and is growing in ways the more I work and gather intelligence from tribal governments, community members and tribal elders.

The Data Sovereignty Initiative White Paper is the process I have been using to custom design SMART solutions for community development.I will touch on three of these concepts I am currently working on and will post updates on these concepts in the future.

The three fundamental topics of interest I am pursuing through the intelligence I have gathered is:

1. Geo Artificial Intelligence, a system used that utilizes deep learning for object classification in mapping infrastructure
2. Designing Indigenous Artificial Intelligence for cultural and language preservation
3. Designing smart Internet of Things (IoT) devices for data collection

The Data Sovereignty Initiative White Paper is the first step in outlining the fundamental structure of these scientific inquiries and I look forward to sharing more about this work in the future.

Here this link to the paper for review: The Data Sovereignty Initiative White Paper

So be well, and let’s make america red again!