LabCompass

Paul M. Leidig

Computer Science · Purdue University West Lafayette

OpenAlex
Established · publishing since 1992
Information Systems Education and Curriculum DevelopmentTeaching and Learning ProgrammingGenetics, Bioinformatics, and Biomedical ResearchBig Data and Business IntelligenceSoftware Engineering Techniques and Practices

Publications

64

Citations

440

Est. group size

—

Recurring co-author estimate

Active years

35

Publishing since 1992

Research summary
AI-generated

Paul M. Leidig's work focuses on designing and updating educational curricula for Information Systems and Data Science at the undergraduate level, often through collaborative task forces with organizations like ACM and AIS. His publications largely document curriculum guidelines, competency models, and accreditation standards rather than traditional technical research, aiming to shape how universities teach computing and data science topics. This work is intended to inform academic program design rather than advance a specific technical subfield.

Information Systems curriculum designData Science education standardsComputing competency modelsAccreditation and program guidelinesAcademic task force and curriculum reports

Publication output surged around 2020-2021 with intensive curriculum task force activity, then dropped off sharply and has remained sparse (0-1 papers per year) through the mid-2020s.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.8/year recently
2017: 2 publications17182019: 3 publications192020: 9 publications9202021: 9 publications9212022: 1 publication22232024: 1 publication242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • Journal of the Association for Information Systems×8
  • Information Systems Education Journal×3
  • ACM eBooks×1
  • Communications of the Association for Information Systems×1
  • ScholarsArchive (Brigham Young University)×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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