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Quick Links to the Most Recent Mato Ohitika News:
Mato Ohitika Analytics LLC's Response to the Corona Virus (Covid-19). (Updated 10-02-20)
Tuesday October 13, 2020
Mato Ohitika Analytics LLC Launches a Sister Nonprofit Organization Called the Mato Ohitika Foundation to Bring Data Science Education to Underrepresented Students and Communities.
After months of planning Mato Ohitika has formed a nonprofit organization the Mato Ohitika Foundation "to provide scientific and educational services to underrepresented communities through data science related activities to responsibly bridge science and culture using the principles of data sovereignty."
The Mato Ohitika Foundation has been designed to bring data science to communities that have lack of representation and to create powerful educational outcomes for students and communities alike. Mato Ohitika Analytics LLC is proud to be a strategic benefactor of the foundation and looks forward to creating meaningful partnerships into the future and beyond.
Here's the Link:
Tuesday October 13, 2020
Mato Ohitika Analytics LLC Invited to Speak at a Panel Discussion at the Academic Data Science Alliance (ADSA) Annual Meeting, October 15, 2020
Dr. Robertson has been invited to speak at the ADSA Annual meeting panel this Thursday to discuss his work on Data Sovereignty, Data Science, and Education issues facing tribal nations.
From Data Sovereignty to Data Science: Implications for American Indian Self-Determination
Lea Shanley, University of Wisconsin-Madison; James Rattling Leaf Sr., University of Colorado-Boulder and Principal, Rattling Leaf Consulting LLC in Black Hawk, South Dakota.
American Indian Tribes have long been concerned about ownership, control, and access to data about their lands, resources, communities, and families. The development of sophisticated technologies for data collection and analysis, such as high-resolution remote sensing, GIS and machine learning, have heightened these concerns.
Tribal concerns about the potential misuse of data include, but are not limited to: infringement on individual and group privacy; misappropriation of intellectual property and its use for commercial gain; misinterpretation or discrediting of cultural practices; abrogation of treaty rights; and the impact on the Federal-Tribal Trust relationship.
Protecting tribal data from potential misuse, while at the same time ensuring access for tribes and their members, will require a creative combination of technical, legal, policy, and organizational research and solutions. Several initiatives have begun to tackle these issues head on, including the development of the CARE Principles for Indigenous Data Governance, the launch of IEEE P2890: Recommended Practice for Provenance of Indigenous Peoples Data, the international growth of the Indigenous Data Sovereignty networks including the Global Indigenous Data Alliance, and the rise of Indigenous biological and data repositories (or “biobanks”) such as the Native BioData Consortium. Tribal governments also will strengthen their sovereignty by building capacity to understand and use these emerging technologies to their own advantage. Data science is the new frontier in Self-Determination.
Additional panelists: Joseph Robertson, Mato Ohitika Analytics LLC, Krystal Tsosie, Vanderbilt University and co-Founder, Native BioData Consortium; Randall Akee, Associate Professor, University of California-Los Angeles.
Link to the ADSA Meeting: ADSA Annual Meeting
Sunday October 11, 2020
Mato Ohitika Analytics LLC Releases South Dakota Time Series
Prediction: September 26, 2020 to October 8, 2020
Mato Ohitika Analytics LLC has been busy working on a new time series using state data from The Covid Tracking Project. This prediction was a result of a new new time cube I designed to predict state outcomes nationwide.
Over the last two weeks, South Dakota's Covid-19 trajectory has been unchecked and clearly the virus has not been contained. The time series forecast using an exponential kernel below shows a quite conservative prediction that as of October 8, 2020, was quite low in comparsion to the CTP's actual numbers. As outlined below, I surmised by the forest-based forecasting the actual value would most likely approach the upper confidence level by October 8th, which it did.
Predicted: Upper Confidence Level: 26,852 Cases
Actual: Covid Tracking Project's SD Confirmed plus probable: 26,411
Actual: Covid Tracking Project's SD Confirmed: 25, 961
This exploratory process is crucial in the continued fight against Covid-19. More Soon.
Current Covid-19 Updates
Last updated September 28, 2020
Here are some links to understanding the data:
John Hopkins University Center Coronavirus COVID-19 Center for Systems Science and Engineering (CSSE):
JHU on Github and Daily Situation Reports:
Covid Tracking Project:
The Coronavirus from USA Facts:
World o Meters Coronovirus
Current Covid-19 Trends
January 22, 2020 to September 26, 2020 (249 Days)
The Covid-19 Space Time Cube Project (ongoing) (updated 9/26/20)
Mato Ohitika Analytics LLC began an analysis of Covid-19 in the early weeks of March 2020 to try and understand the Coronavirus Pandemic in real time. As the pandemic has spread across the globe, we have learned much in a few short months.
Dr. Robertson's work in developing this STC has allowed for continued research and development in other aspects such as contact tracing, time series forecasting to name a few.
Mato Ohitika Analytics LLC is committed to provide communities with data that works for them.
2020 Space Time Cube Chronology
This work was primarily an exploratory process of mapping using the STC coding schemes to generate data for Mato Ohitika's Citizen Science Intiative. These maps have provided a wealth of time series information, however we continue to evolve, other information must be examined.
Thus, Mato Ohitika Analytics LLC has constructed a STC for states using data from the Covid-19 Tracking Project. This has many uses such as providing support for time series forecasting and contact tracing apllications.
Current US State Level Analysis:
September 26, 2020: First two-week Time Series for South Dakota.
The US County Level STC Construction Analysis:
April 10, 2002: Phase I: A Preliminary Analysis of the Covid-19 Pandemic
April 21, 2020: Phase II: A Look at Where the Covid-19 Data is and What it Means
April 23, 2020: Phase III: Building a Working Space Time Cube
May 05, 2020: Phase IV: Emerging Hot Spot and Trends Mapping Preview
The US County Level Map Series: (Depreciated, these maps series are closed for further updates for now)
May 07, 2020: Phase V: The Maps Series Meta
Phase V: The Maps Series I US Countywide (Confirmed Cases)
Phase V: The Maps Series II US County Level(Confirmed Cases)
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 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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