Heritage Algorithms (Ron Eglash, University of Michigan)

Thursday, August 10, 2023

The model of democracy in the 1920s is sometimes called “the melting pot” – the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural mixing, sharing and collaborating can build bridges between people rather than create divides.

Our research on heritage algorithms aims to build such a bridge. We develop digital tools to teach students about the complex mathematical sequences and patterns present in different cultures’ artistic, architectural and design practices.

By combining computational thinking and cultural creative practices, our work provides an entry point for students who are disproportionately left out of STEM careers, whether by race, class or gender. Even those who feel at home with equations and abstraction can benefit from narrowing the gap between the arts and sciences.

The model of democracy in the 1920s is sometimes called “the melting pot” – the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural mixing, sharing and collaborating can build bridges between people rather than create divides.

Our research on heritage algorithms aims to build such a bridge. We develop digital tools to teach students about the complex mathematical sequences and patterns present in different cultures’ artistic, architectural and design practices.

By combining computational thinking and cultural creative practices, our work provides an entry point for students who are disproportionately left out of STEM careers, whether by race, class or gender. Even those who feel at home with equations and abstraction can benefit from narrowing the gap between the arts and sciences.

The model of democracy in the 1920s is sometimes called “the melting pot” – the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural mixing, sharing and collaborating can build bridges between people rather than create divides.

Our research on heritage algorithms aims to build such a bridge. We develop digital tools to teach students about the complex mathematical sequences and patterns present in different cultures’ artistic, architectural and design practices.

By combining computational thinking and cultural creative practices, our work provides an entry point for students who are disproportionately left out of STEM careers, whether by race, class or gender. Even those who feel at home with equations and abstraction can benefit from narrowing the gap between the arts and sciences.

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