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Papers on Piloting Computational Networks:

  1. “Establishing an International Computational Network for Librarians and Archivists”, iConference 2019 Blue Sky Papers series, Richard Marciano, Victoria Lemieux, Mark Hedges, Yoichi Tomiura, Katuu Shadrack, Jane Greenberg, William Underwood, Katrina Fenlon, Adam Kriesberg, Mary Kendig, Greg Jansen, Phil Piety, David Weintrop, Michael Kurtz. See: http://hdl.handle.net/2142/103139, IDEALS Institutional Repository.
  2. “AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS)”,  in Book: Access and Artificial Intelligence: Working with Born-Digital and Digitised Archival Collections , R. Marciano, Sep. 2021, ISBN:9783837655841, Lise Jaillant (Ed.), Bielefeld University Press. See: https://cup.columbia.edu/book/archives-access-and-artificial-intelligence/9783837655841.
  3. “Establishing a Research Agenda for Computational Archival Science through Interdisciplinary Collaborations between Archivists and Technologists”, P. Nicholas, R. K. Gnanasekaran, L. Perine, A. Hill, R. Marciano, SAA 2020 Research Forum (accepted for publication, fall 2021). See: https://files.archivists.org/annual-meeting/2020/research-forum/Interdisciplinary_Computational.pdf

Papers on Applying Computational Thinking to Library & Archival Science:

  1. “Introducing Computational Thinking into Archival Science Education”, William Underwood, David Weintrop, Michael Kurtz, Richard Marciano, 2018 IEEE International Conference on Big Data, 3rd CAS Workshop, Jan. 24, 2019, pp.2761-2765. See: https://ai-collaboratory.net/wp-content/uploads/2020/03/1.Underwood.pdf
  2. “Reframing Digital Curation Practices through a Computational Thinking Framework”, Richard Marciano, et al., 2019 IEEE International Conference on Big Data, 4th CAS Workshop, Dec. 11, 2019, Los Angeles, CA. See: https://ai-collaboratory.net/wp-content/uploads/2020/04/ReframingDC-UsingCT_final.pdf
  3. “Computational Thinking in Archival Science Research and Education”, William Underwood, Richard Marciano, 2019 IEEE International Conference on Big Data, 4th CAS Workshop, Dec. 11, 2019, Los Angeles, CA. See: https://ai-collaboratory.net/wp-content/uploads/2021/03/Underwood.pdf
  4. “Developing a Framework to Enable Collaboration in Computational Archival Science Education”, Richard Marciano, Gregory Jansen, and William Underwood, Paper presented at 2019 Society of American Archivists (SAA) Research Forum, Aug. 2, 2019, Austin, TX and accepted for publication in 2020. See: https://www2.archivists.org/sites/all/files/Research_Forum%20_2019_Marciano_final.pdf
  5. “Computational Treatments of the Legacy of Slavery (CT-LoS) ‘Reasserting Erased Memory’”, L. Perine, K. Gnanasekaran, P. Nicholas, A. Hill, R. Marciano, 2020 IEEE International Conference on Big Data, 5th CAS Workshop, Dec. 12, 2020, Atlanta, GA. See: https://ai-collaboratory.net/wp-content/uploads/2020/11/Perine.pdf.

Papers on Jupyter Notebooks for Library and Archival Science:

  1. “Piloting Data Science Learning Platforms though the Development of Cloud-based interactive Digital Computational Notebooks”, Rajesh Kumar Gnanasekaran, Richard Marciano, Proceedings of Science, Fall 2021. See: https://ai-collaboratory.net/wp-content/uploads/2021/10/ISGC2021_Gnanasekaran_Marciano.pdf
  2. “Digital Legacies on Paper: Reading Punchcards with Computer Vision”, Greg Jansen, 2019 IEEE International Conference on Big Data, 4th Computational Archival Science (CAS) Workshop, Dec. 11, 2019, Los Angeles, CA. See: https://ai-collaboratory.net/wp-content/uploads/2020/02/Jansen.pdf
  3. “Automating the Detection of Personally Identifiable Information (PII) in Japanese-American WWII Incarceration Camp Records”, Richard Marciano, William Underwood, Mohammad Hanaee, Connor Mullane, Aakanksha Singh, Zayden Tethong, 2018 IEEE International Conference on Big Data, Jan. 24, 2019, pp.2725-2732. See: https://ai-collaboratory.net/wp-content/uploads/2020/03/1.Underwood.pdf

Papers on Machine Learning for Library and Archival Science:

Papers on use of AI in Library and Archival Science:

  1. “An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data”, Jennifer Proctor, Richard Marciano, Submitted to MTSR 2021 Virtual Conference, 15th International Conference on Metadata and Semantics Research, Nov. 29 – Dec. 3, 2021 – http://www.mtsr-conf.org/call-for-papers. See: https://ai-collaboratory.net/wp-content/uploads/2021/10/2021-Proctor_paper.pdf
  2. “Computational Curation of a Digitized Series of WWII Japanese-American Internment,” Underwood, B., Marciano, R., Laib, S., Apgar C., Beteta, L., Falak, W., Gilman, M., Hardcastle, R., Holden, K., Huang, Y., Baasch, D., Ballard, B., Glaser, T., Gray, A., Plummer, L., Diker, Z., Jha, M., Singh, and A., Walanj, N.,  IEEE Big Data 2017’s 2nd Computational Archival Science (CAS) Workshop, Boston, MA, Dec. 13, 2017. See: https://ai-collaboratory.net/wp-content/uploads/2020/04/Underwood-CAS-2017.pdf
  3. “Digital Curation of a World War II Japanese-American Incarceration Camp Collection: Implications for Sociotechnical Archival Systems”, Richard Marciano, Myeong Lee, William Underwood, Sandra Laib, Zeynep Diker, and Aakanksha Singh, DigitalHeritage2018, San Francisco, Oct. 27, 2018 (part of the Digital Solutions for Heritage Archives & Collections session). See: https://ai-collaboratory.net/wp-content/uploads/2020/04/DigitalHERITAGE_2018_paper_220.pdf

Papers on Developing Infrastructure to Support CAS:

  1. “Linked Data and Microservices at the Support of Customized Institutional Workflows”, Greg Jansen, Mark Conrad, Lyneise Williams and Richard Marciano, Linked Archives, International Workshop, Sep. 13, 2021,  https://linkedarchives.inesctec.pt/. See: https://ai-collaboratory.net/wp-content/uploads/2021/10/LinkedArchives_InternationalWorkshop-Greg-Jansen-final.pdf
  2. “Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories”, Greg Jansen, Richard Marciano, 2019 IEEE International Conference on Big Data, Dec. 11, 2019, Los Angeles, CA. See: https://ai-collaboratory.net/wp-content/uploads/2020/02/Jansen-Marciano.pdf

This grant is funded by the Institute of Museum and Library Services (IMLS) through a
Laura Bush 21st Century Librarian Program (LB21)
National Digital Infrastructures and Initiative (NDII) Project grant: RE-246334-OLS-20.