I have been hard at work designing a road map for my Data Sovereignty framework, and I have decided to create a blog post to begin explaining the nuances of the vision I have about leveraging data and how community benefit through citizen science.

For those that are not familiar, citizen science is a fairly new concept that allows communities to undertake a complex task under the guidance of a professional scientist or scientific organization. One of my passions is exploring the power of spatial statistics.

Spatial statistics is the theoretical foundation of GIS, or geographic information systems. One of my case studies in my current doctoral dissertations is experimenting with image classifiers to create spatial point patterns of critical infrastructure using drone or satellite imagery.

Why is this important?

First, I find point patterns to be one the most fascinating concepts. Mostly, because we can make such beautiful maps of things. In staying in balance with my Dakota culture; doing things on behalf of my community for their benefit is a governing philosophy lost in translation in this busy world we live in. It is important not to forget where you came from, who guided you, and sacrificed many things for you and me to be here and now.

I won 3rd place in the ESRI 2016 Tribal Story Map Challenge and I realized how powerful telling stories is. Images coupled with advanced statistics, higher education, and nation building is what Mato Ohitika and the Data Sovereignty represent.

I will post more soon, but to conclude, I had an opportunity to present at the ESRI UC in July 2017 of this year and when I heard the plenary, it was like the community was reading my mind. I wanted to share the video of the Oakland County Michigan and their municipal open sharing portal where the elegantly spoke:

Build it once, Pay for it once, and Everyone benefits

View it here: Oakland County Michigan ESRI UC Plenary 2017

I couldn’t have said it better myself. Stay tuned we’re only getting started.

And as always, let’s make america red again!


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