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The Minimum Information Representation Algorithm (MIRA) is a principle stating that the visual representation of universal concepts inevitably results in a loss of information and introduction of bias. As the universality of a concept increases, the difficulty of creating an inclusive and comprehensive visual representation increases proportionally, leading to unavoidable exclusions or misrepresentations of certain perspectives or groups.

We acknowledge the inherent challenges in visually representing broad, universal concepts as described by the Minimum Information Representation Algorithm (MIRA). In our work, we strive to include diverse perspectives and are acutely aware of the sensitivities surrounding visual representation. We engage in thoughtful consideration of the potential impacts and repercussions of our visual choices.

However, we recognize that compressing general ideas into specific visual elements has inherent limitations. The MIRA principle underscores that even with the utmost care and intention, some degree of exclusion or bias may be unavoidable when visually depicting universal concepts. We present our visual work with this understanding, inviting dialogue and continual improvement in our quest for more inclusive and representative visual communication.

Reimagining Earth · Beyond Cartographic Conventions

We acknowledge the Eurocentric biases in standard cartographic conventions, such as Greenwich-centered projections and North-up orientations. These norms subtly influence global power perceptions and distort geographical relationships. Our work explores alternative representations, including South-up maps and centering traditionally marginalized regions like New Zealand. By challenging cartographic assumptions, we aim to foster a more inclusive and nuanced understanding of global geography, encouraging viewers to reconsider their perceptions of Earth’s spatial relationships and geopolitical dynamics.

AI-Assisted Writing

In keeping with our commitment to transparency, we note that some texts on this website were drafted with the assistance of generative AI tools. All content has been reviewed, edited, and validated by our team to ensure scientific accuracy, clarity, and alignment with Globaia’s mission. The ideas, creative direction, and editorial voice are entirely our own.

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GLOBAÏA is committed to respecting your privacy. This website does not use cookies, does not run third-party ad trackers, and does not build visitor profiles.

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