WIP: Detecting Computing-Enabled Interdisciplinary Domains Using the Midfield Data Set

This WIP paper discusses the significance of inter-disciplinary programs in computing, highlighting their role in addressing complex issues and attracting students to universities. It introduces the MIDFIELD project, which collects course records from multiple universities in the USA, enabling the analysis of course overlaps between interdisciplinary degrees and their parent fields. The study aims to inform curriculum design and promote interdisciplinary majors, particularly between computing and other STEM fields, by identifying shared courses. Such initiatives are crucial for diversifying the computing work-force and bridging the gap between students” experiences and computer science fundamentals.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/fie61694.2024.10893449
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

WIP: Detecting Computing-Enabled Interdisciplinary Domains Using the Midfield Data Set

Stephanie Damas, D. Matthew Boyer, Tim Ransom
Scientific Computing and Data Management
article

WIP: Detecting Computing-Enabled Interdisciplinary Domains Using the Midfield Data Set

Stephanie Damas, D. Matthew Boyer, Tim Ransom
article en

Abstract

This WIP paper discusses the significance of inter-disciplinary programs in computing, highlighting their role in addressing complex issues and attracting students to universities. It introduces the MIDFIELD project, which collects course records from multiple universities in the USA, enabling the analysis of course overlaps between interdisciplinary degrees and their parent fields. The study aims to inform curriculum design and promote interdisciplinary majors, particularly between computing and other STEM fields, by identifying shared courses. Such initiatives are crucial for diversifying the computing work-force and bridging the gap between students” experiences and computer science fundamentals.

Clemson University (US)
Openalex Percentile: Top 68%
Scientific Computing and Data Management
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