villager: A framework for designing and executing agent-based models in R
Thelen, Thomas, et al. "villager: A framework for designing and executing agent-based models in R." Journal of Open Source Software 7.79 (2022): 4562.
Thelen, Thomas, et al. "villager: A framework for designing and executing agent-based models in R." Journal of Open Source Software 7.79 (2022): 4562.
Alter, George, et al. "Detailed Provenance Metadata from Statistical Analysis Software:{TaPP} Applications Track." 13th International Workshop on Theory and Practice of Provenance (TaPP 2021). 2021.
Chard, Kyle, et al. "Toward enabling reproducibility for data-intensive research using the whole tale platform." Parallel Computing: Technology Trends. IOS Press, 2020. 766-778.
Shimizu, C., et al.: Knowwheregraph-lite: a perspective of the knowwheregraph. In: Ortiz-Rodríguez, F., Villazón-Terrazas, B., Tiwari, S., Bobed, C. (eds.) KGSWC 2023. LNCS, vol. 14382, pp. 199–212. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-47745-4
Liu, Zilong, et al. "Knowledge explorer: Exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper)." Proceedings of the 30th International Conference on Advances in Geographic Information Systems. 2022.
McPhillips, Timothy M., et al. "CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale." Provenance and Annotation of Data and Processes: 8th and 9th International Provenance and Annotation Workshop, IPAW 2020+ IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings 8. Springer International Publishing, 2021.
Chard, Kyle, et al. "Application of BagIt-serialized research object bundles for packaging and re-execution of computational analyses." 2019 15th International Conference on eScience (eScience). IEEE, 2019.
Mecum, Bryce, et al. "Science, containerized: Integrating provenance and compute environments with the Whole Tale." AGU Fall Meeting Abstracts. Vol. 2018. 2018.
Talk at The Knowledge Graph Conference, New York, New York
Conference proceedings talk at The Spatial Data Science Symposium, Online