What is it about?

Computing Crossroads is a research initiative with the intention of revealing the incredible yet largely unappreciated value of a computing perspective across a wide variety of fields, and conversely, the huge amount of value brought to this field by those coming from areas traditionally considered unrelated. We have spoken with many of those who are working in and have a passion for the world of computing, while also having once been a historian, artist, designer, lawyer, or many other roles across a wide range of industries. Similarly, we have spoken with many who began in computing and pivoted towards roles outside what is considered the traditional computing pathway. In placing these non-traditional pathways of computing in the spotlight, we aim to expose the diversity of thought, perspective and background that can be revealed upon closer examination of who really works or has worked in this field. We have found that many participants stand in direct contradiction to the stereotypes that can at times be a major challenge and barrier to entry for students. It is the hope that their stories will create a shift in outlook for many in this regard.

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Why is it important?

We hope to inspire a new generation of students to come and explore their interest in computing, leaving behind any misconceptions that they must be a “mathematics genius”, come from a particular background, or fit a certain stereotype. It is possible that in the coming years one will see workers in a wide variety of industries have familiarity with programming concepts or have completed a computing or computer science class, taking the experience they gained with them in forming their own individual career path. It is clear from the interview process that the value gained from having a non-traditional background has been immense for those interviewed, potentially serving as inspiration for those unsure of what path they will themselves choose.

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This page is a summary of: CONVERSATIONS: Computing Crossroads, ACM Inroads, August 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3613248.
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