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Maka-Sitomniya

Welcome to the Maka-Sitomniya repository, part of the Environmental Data Science Innovation and Inclusion Lab (ESIIL). This repository serves as the central hub for our working group, hosting our project description, proposals, member bios, codebase, and more.

Our Project

The world faces growing threats from multiple, interconnected environmental challenges, including chemical pollution, increasing freshwater demands amid diminishing supplies, biodiversity loss, and the climate crisis. Indigenous communities are particularly vulnerable due to a long history of injustice. However, a holistic worldview, long-standing relationship with the land and water, and time-tested stewardship practices provide essential knowledge for understanding and responding to these challenges. What remains lacking are the resources and technical expertise to integrate Indigenous Knowledges with the latest advancements in Earth Data Science.

Our project aims to bridge this gap by developing a customizable DataCube and workflows tailored to the needs of Tribes. This framework will enable Indigenous communities to access and apply environmental data science (EDS) for vulnerability assessments, mitigation, and adaptation. It will aso serve as a training tool to build Tribal capacity in data analysis and decision-making. This work is critical because climate change and environmental degradation disproportionately impact Indigenous lands and livelihoods. Tribes would like to access the tools to analyze and interpret environmental data, and our project provides a framework to make informed decisions and strengthen inherent sovereignty.

The expected impact of our project is threefold:

  • Increased Tribal Access to Data Science – By making EDS more accessible, we support Indigenous-led environmental management and research.
  • Capacity Building and Training – The DataCube will serve as an educational tool for Tribal Colleges, students, and community members, equipping them with technical skills.
  • Stronger Environmental and Climate Resilience – With better data, Tribes can develop more effective policies and responses to environmental challenges, ensuring long-term sustainability.

Advancing EDS is not just about pushing the boundaries of science—it must also be about expanding accessibility, ensuring its benefits reach communities that would otherwise be excluded. Our project prioritizes soverignty, self-determination, and the integration of Indigenous Knowledges with cutting-edge environmental data tools to create lasting, meaningful change.

Project Proposal

[include the proposal directly in the repository. This should outline the goals, methodologies, anticipated challenges, and projected timelines.][Project Proposal](https://esiil.org/working-groups)

Group Members

[List the names and a brief description of each group member, possibly linking to their personal or professional web pages.]

Code Repository

This section of the repository will include all the code developed for the project. You can structure it as follows:

  • Analysis Code: Scripts for data analysis, statistical modeling, etc.
  • Data Processing: Scripts for cleaning, merging, and managing datasets.
  • Visualization: Code for creating figures, charts, and interactive visualizations.

Meeting Notes and Agendas

Meeting notes and agendas will be regularly updated here to keep all group members informed and engaged with the progress and direction of the project.

Contributing to This Repository

We welcome contributions from all group members. To maintain the quality and integrity of the repository, please adhere to the following guidelines:

  • Make sure all commits have a clear and concise message.
  • Document any major changes or decisions in the meeting notes.
  • Review and merge changes through pull requests to ensure oversight.
  • Practice Wolakota - be respectful, and follow Tribal protocols to the best of your ability.
  • More details can be found in the contributing file.

Getting Help

If you encounter any issues or have questions about how to contribute, please refer to the ESIIL Support Page or contact the repository maintainers directly.


Last update: 2025-02-13