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Making Space for Algorithmic Alphabets

Authors: McLean, Alex; Iannini, Luke;

Making Space for Algorithmic Alphabets

Abstract

Over the past few decades, the development of technology has largely focussed on controllingpeople's work, rather than helping them control their own craft and expression (Franklin 1999).Furthermore in computer science, due to a variety of social and societal factors, programminglanguages have generally been designed for and by particular groups of people (Ko 2021). As a result,technology cultures have moved towards homogeneity around particular mindsets. Perhaps then weneed to undo computer science, in order to find a way forward based on different assumptions. 1Indeed, many have worked on making alternative programming languages and practices, andcreating space for alternative cultures to grow around them. Examples can be found across computerart (Brown et al. 2009), live coding (Blackwell et al. 2022) and esolang 2 communities, where we see acommon theme of questioning the pervasive constraints of technology, in the process of developingalternatives. Through this talk we build on this theme, by examining code and its notation as a pivotal means ofcomputational expression, and introducing our concrete early experiments in how it might bereimagined to support a much wider diversity of cultures and communities. Our collaboration bringstogether work from two non-profit, independent research labs; namely Dynamicland, build acommunal computer by bringing everyday material to life via its Realtalk system (Victor, Iannini, andDouglas 2023), and Then Try This, aiming to learn from heritage technologies to inform the design ofnew creative and collaborative technology within the developing Algorithmic Pattern research theme(Mclean 2020). Both contexts put communities of practice very much in focus in the development oftechnologies, creating space for people to collectively reimagine the future, by building on a longhistory of tangible, collaborative and hands-on craft and thinking practices

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green