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Mato Ohitika Analytics LLC

Mato Ohitika Analytics LLC

Joseph C. Robertson PhD

Data Science Solutions. Statistical Consulting. Machine Learning and Artificial Intelligence

Research & Development.

Proud to be an ESRI Partner


Welcome to Mato Ohitika Analytics,

Home of the Data Sovereignty Initiative


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:

The Mato Ohitika Foundation



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.


MOA_SD_Covid_Cumulative_ 9_24_20
MOA_SD_Covid_Forecast_9_24_20

Mato Ohitika Analytics LLC's

Response to the Corona Virus (Covid-19) 

Quick Links

Covid-19 Analysis Phases

< 1  2  3  4  5  6  7  8 >

Current Covid-19 Updates

Last updated September 28, 2020

Mato_Ohitika_Analytics_Covid_19_Emerging_Hot_Spots_US_Confirmed_9_26_2
Mato_Ohitika_Analytics_Covid_19_US_Emerging_Trends_Confirmed_9_26_20
Mato_Ohitika_Analytics_Covid_19_US_Emerging_Trends_Deaths_9_26_20

Here are some links to understanding the data:


John Hopkins University Center Coronavirus COVID-19 Center for Systems Science and Engineering (CSSE):


Covid-19 Live Map


JHU on Github and Daily Situation Reports:


CSSEGIS Covid Data on Github


Covid Tracking Project:


https://covidtracking.com/


The Coronavirus from USA Facts:


USA Facts Coronavirus Locations


World o Meters Coronovirus


https://www.worldometers.info/coronavirus/


Updated 10-02-20

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


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.


Mato Ohitika Anaytics Smart Logo 2020
Mato Ohitika Analytics DSI Key Indicators 2020
Mato Ohitika Analytics DSI Key Descriptors 2020
Mato Ohitika Analytics DSI SMART Solution 2020

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.

Phone:      (605) 691-2248


Location:  Sioux Falls, South Dakota USA


Email: info@bravebearanalytics.com


Mato Ohitika Analytics LLC


Specializing in American Indian and

Tribal Government Data Science Solutions

including Machine Learning and

Artificial Intelligence Research and Development


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