Professional Preparation

Appointments

Products

1. Kirkpatrick, Christine R.; Coakley, Kevin; Christopher, Julianne; Dutra, Inês “Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).” Data Science Journal, n.d. https://doi.org/10.5334/dsj-2023-032
2. Gundersen, Odd Erik and Kevin Coakley. “Open Research in Artificial Intelligence and the Search for Common Ground in Reproducibility: A Commentary on “(Why) Are Open Research Practices the Future for the Study of Language Learning?”.” Language Learning (2023): n. pag., https://doi.org/10.1111/lang.12582
3. Coakley, Kevin, Christine R. Kirkpatrick and Odd Erik Gundersen. “Examining the Effect of Implementation Factors on Deep Learning Reproducibility.” 2022 IEEE 18th International Conference on e-Science (e-Science) (2022): 397-398. https://doi.org/10.1109/eScience55777.2022.00056
4. Gundersen, Odd Erik; Coakley, Kevin; Kirkpatrick, Christine (2022). Sources of Irreproducibility in Machine Learning: A Review. arXiv preprint arXiv:2204.07610. https://doi.org/10.48550/arXiv.2204.07610
5. Kirkpatrick, Christine R.; Coakley, Kevin ; Cragin, Melissa H.; Cramer, Catherine; McHenry, Kenton; Marini, Luigi; Kooper, Rob; Glasgow, James; Foster, Ian T.; Szalay, Alex S.; Simmel, Derek (2021). Open Storage Network Concept Paper: Open Storage Network Retrospective & the Future of Distributed Storage for eInfrastructure. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0RR1ZCR
6. Kirkpatrick, Christine R.; Coakley, Kevin; Cragin, Melissa H.; Glasgow, James; McHenry, Kenton; Jandt, Uwe; Krøl Andersen, Lene; Baldin, Ilya; Nikolich, Anita; Szalay, Alex S. (2021). Open Storage Network Concept Paper: National and International Trends in Research Storage at Scale. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. https://doi.org/10.6075/J00G3HQ1
7. Kirkpatrick, Christine R.; Coakley, Kevin; Cragin, Melissa H.; Glasgow, James; Goodhue, John (2021). Open Storage Network Concept Paper: Research Drivers and Capabilities. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0HM56Z7
8. Kumari Sonal Choudhary, Eoin Fahy, Kevin Coakley, Manish Sud, Mano R Maurya, Shankar Subramaniam. MetENP/MetENPWeb: An R package and web application for metabolomics enrichment and pathway analysis in Metabolomics Workbench. bioRxiv, 2020.11.20.391912. https://doi.org/10.1101/2020.11.20.391912
9. Subhasis Dasgupta, Kevin Coakley, and Amarnath Gupta. Analytics-Driven Data Ingestion and Derivation in the AWESOME Polystore. IEEE BigData, 2016. https://doi.org/10.1109/BigData.2016.7840897
10. Sean Boucek, Kevin Coakley, Allan Oblepias, and Greg Vonder Reith. Brain Collaborative Research Database (CoRD). M.A.S. dissertation, UC San Diego, United States, 2014.

Presentations

1. ML Reproducibility: Sources of Algorithmic, Implementation, and Observational Variability; iHARP Tuesday Talk 10-29-2024
2. Sources of Irreproducibility in Machine Learning; FARR Workshop 2024
3. Reproducibility in AI, and What Computing Professionals Should Know for Supporting Researchers; FARR: FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network 2023
4. Examining the Effect of Implementation Factors on Deep Learning Reproducibility; IEEE eScience 2022
5. AI Reproducibility; Partnership on AI - Health AI Exploration: Virtual Meeting #5 2022
6. Ethics Implications of Irreproducibility; AGU - AI/ML Ethics Workshop Series 2022
7. Sources of Irreproducibility / Testing Pipeline using OSG and Cloud Resources; International Data Week 2022
8. The Open Storage Network; Super Computing 2021
9. Reproducibility in AI, and What Computing Professionals Should Know for Supporting Researchers; UC Tech 2021
10. The Open Storage Network; PEARC 2021