Joseph C. Robertson PhD
Data Science Solutions. Statistical Consulting. Machine Learning and Artificial Intelligence
Research & Development.
Welcome to Mato Ohitika Analytics,
Home of the Data Sovereignty Initiative
Mato Ohitika Analytics LLC's
Response to the Corona Virus (Covid-19)
Monday March 23, 2020
The Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).The disease was first identified in 2019 in Wuhan, Central China, and has since spread globally, resulting in the 2019–20 coronavirus pandemic. As this phenomenon reached the United States in January of 2020, the number of cases like other countries outside of China had begun to sky rocket.
Mato Ohitika Analytics LLC has begun an independent analysis of the data that is publically available and will be releasing some of his findings in the very near future. It is important that we provide the public the best information from many different perspectives through citizen science. Stay Tuned.
Here are some links to understanding the data:
John Hopkins University Center Coronavirus COVID-19 Global Cases
by the Center for Systems Science and Engineering (CSSE):
The current data on Github and Daily Situation Reports:
USA COVID-19 Live Chart
Updated 3-25-20
Quick Links to the Most Recent Mato Ohitika News:
Mato Ohitika Analytics LLC releases The Data Sovereignty Initiative White Paper (June 30, 2019)
Mato Ohitika Analytics Current 2020
Research & Development Topics
Artificial Intelligence: CNN, RNN, Tensorflow, Natural Language Processing, Iot Analytics, GEOAI
Machine Learning: Support Vector Machines, Image Classification, Deep Learning
Database Management: R: RSQLite, dplyr, csv, SAS
Python Libraries: Sci-kit Learn, numpy, NLTK
Geo-Spatial Analysis: ArcGIS Pro, Spatial Analyst tools, Survey123, Workforce, Collector
The Data Sovereignty Initiative
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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