Beth Plale
Decision Sciences · Indiana University
Publications
438
Citations
5,137
Est. group size
—
Recurring co-author estimate
Active years
30
Publishing since 1997
Beth Plale studies how large-scale scientific computing systems manage, share, and preserve research data, with a strong focus on making computational research reproducible and on building cyberinfrastructure (shared computing platforms and tools) that broadens access to artificial intelligence. Recent work explores edge AI pipelines, cloud-based machine learning deployment, and open scholarship practices. A recurring theme is 'democratizing' AI and data so more researchers and institutions can use these resources.
Publication activity has been steady but uneven over the past decade, with productive years interspersed with gaps, averaging about five publications per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Strategies for Engaging, Incentivizing, and Evaluating Faculty's Open and Public Scholarship
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Strategies for Engaging, Incentivizing, and Evaluating Faculty's Open and Public Scholarship
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Towards Edge AI Pipeline Replicability in Presence of Unavailable Data
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Towards Edge AI Pipeline Replicability in Presence of Unavailable Data
Open MIND · 2026
- Using Jetstream2 for Equitable Instruction of Cloud-Based Machine Learning Microservice Engineering and Deployment
2026
- Scientific Data Management Beyond Traditional Computing Boundaries
Computer · 2025
- Democratization is a Process, not a Destination: Operationalizing Ethics and Democratization in a Cyberinfrastructure for AI Project
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2024
- Creating intelligent cyberinfrastructure for democratizing AI
AI Magazine · 2024
- Democratization of AI: Challenges of AI Cyberinfrastructure and Software Research
2023
- Knowledge Enhanced Digital Objects: a Data Lake Approach
2023
- CCGRID 2023: A Holistic Approach to Inclusion and Belonging
2023
- Assessing the FAIR Digital Object Framework for Global Biodiversity Research
Research Ideas and Outcomes · 2023
- Policy recommendations to ensure that research software is openly accessible and reusable
PLoS Biology · 2023
- SC Transparency and Reproducibilty Community Survey
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Reproducibility Practice in High Performance Computing: Community Survey Results
2021
- Zenodo (CERN European Organization for Nuclear Research)×7
- arXiv (Cornell University)×5
- Elsevier eBooks×3
- GigaScience×2
- Lecture notes in computer science×2
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 11, 2026.
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