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Heritage Algorithms: Bridging the Gap Between Culture and Technology
Heritage algorithms are a fascinating new field that combines the rigors of science with the infinite possibilities of art and design. These algorithms aim to bridge the gap between humanistic and technical knowledge by blending the abstract rigors of math with the grounded legacies of culture. By doing so, heritage algorithms open up a two-way bridge between humanistic and technical knowledge, offering a space where everyone can learn, share, and collaborate.
One example of ethnocomputing is the study of indigenous computing. Sometimes, ethnocomputing “translates” from indigenous culture to high-tech frameworks. For example, analyzing the African board game Owari as a one-dimensional cellular automaton.
The potential for heritage algorithms in technology and business is vast. By incorporating cultural creative practices into computational thinking, heritage algorithms provide an entry point for students disproportionately left out of STEM careers. This can help to narrow the gap between the arts and sciences, leading to a more diverse and inclusive workforce.
In addition, heritage algorithms have the potential to evolve and expand beyond the classroom. Artists are already using “ethnocomputing” – an understanding of computer science from a cultural perspective – to generate bold new creative styles. This opens up exciting new possibilities for businesses looking to incorporate cultural elements into their products or services.
Heritage algorithms offer a unique and exciting opportunity to bridge the gap between culture and technology. By combining computational thinking with cultural creative practices, heritage algorithms have the potential to revolutionize the way we think about science, art, and design.
